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通信与信息网络学报（英文）

通信与信息网络学报（英文）

Journal of Communications and Information Networks
本刊是由工业和信息化部主管，人民邮电出版社有限公司主办的科技类英文学术期刊（季刊），于2016年创刊发行。旨在刊载通信与网络研究领域研究进展、新成果、新技术，促进该领域的国内外学术交流，提高我国在该领域的学术研究水平和国际影响力，服务网络强国建设。
  • 发文量：24
  • 被引量：6
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  • 国内刊号/CN：10-1375/TN
    国际刊号/ISSN：2096-1081
  • 发行周期：季刊
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通信与信息网络学报（英文） >2020年第4期

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  • 摘要：A PE-ACO-OFDM (Position-Encoded Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing) signaling scheme for intensity modulation and direct detection is introduced in this paper,where the anti-asymmetry characteristics of ACO-OFDM are exploited to improve the rate of data transmission.This is achieved by reducing the symbol duration of the ACO-OFDM signal,where only the first half of ACO-OFDM is used to transmit the ACO-OFDM data symbol after inverting its negative samples to positive ones.In addition,encoded ACO-OFDM samples are combined with every ACO-OFDM symbol to allow the receiver to identify the position of the inverted samples.Simulation results are introduced,and it is shown that the data rates of PE-ACO-OFDM improve by 33％ compared with ACO-OFDM,when a 256-quadrature amplitude modulation scheme is considered as the encoded constellation order.It is also shown that the signal to noise ratio of the proposed PE-ACO-OFDM is higher by almost 1 dB compared with the traditional ACO-OFDM.
  • 摘要：Indoor wireless communication networking has received significant attention along with the growth of indoor data traffic.VLC (Visible Light Communication) as a novel wireless communication technology with the advantages of a high data rate,license-free spectrum and safety provides a practical solution for the indoor high-speed transmission of large data traffic.However,limited coverage is an inherent feature of VLC.In this paper,we propose a novel hybrid VLC-Wi-Fi system that integrates multiple links to achieve an indoor high-speed wide-coverage network combined with multiple access a multi-path transmission control protocol,mobility management and cell handover.Furthermore,we develop a hybrid network experiment platform,the experimental results of which show that the hybrid VLC-Wi-Fi network outperforms both single VLC and Wi-Fi networks with better coverage and greater network capacity.
  • 摘要：Thanks to the recent advances in SIS (Space Information Science) and increasingly mature technologies,network simulations have attracted much attention,which play vital roles in research on validation of the correctness of SIN's (Space Information Network) solutions.In this paper,we constitute an architecture of a hardware-in-the-loop simulation system,where we use a server to act as a real satellite of SINs.Moreover,we model the channel of the satellite network relying on real cables and servers by referring to the Corazza model.Furthermore,based on the data of real weather events,we propose a coordinate mode for reducing LEO's (Low Earth Orbit) communication delay and validate the efficiency of our proposed method on simulation platform by simplifying the problem to a shortest path problem.
  • 摘要：Practical VLC (Visible Light Communication) systems are expected to leverage the lighting infrastructure in order to deliver data to devices in a lighting field.These devices can be static or quasistatic (e.g.,laptops or IoT devices);however,it is becoming clear that the preponderance of wireless data consumption is dominated by handheld mobile devices which will exhibit varying physical orientations and 3D dynamics.Because free-space optical and visible light communications are primarily line of sight,transmitter radiation patterns and receiver field of view are very important for predicting the data performance.Given dynamic emission characteristics,there is an opportunity to adapt to the receiver.The caveat of dynamic VLC systems is that the quality and distribution of the resulting illumination must be considered as part of the dual goal of providing high quality lighting.In this paper we investigate the impact of device orientation and mobility on static and then dynamic lighting emission under a multi-cell lighting model.From a source standpoint we consider the performance of beam control through angular control and beam focus for one or more sources in a lighting array.Analysis and simulation demonstrate that dynamic beam and luminaire control can increase the AP coverage range by 12.8X under a 1.67 m ceiling height.Furthermore,the use of multiple sources tracking device orientation and position can mitigate off-angle performance degradation by increasing redundancy in the nmnber of available connections.Our proposed techniques,when applied in concert,successfully mitigate common concerns about the viability of VLC and indoor FSO (Free Space Optical Communication) methods related to signal occlusion and device dynamics.
  • 摘要：Data centers are crucial elements in modern information technology.In order to implement the next generation of data centers,new challenges must be overcome.These include reducing the energy consumption,increasing the data rates,reducing the communication latency,increasing the flexibility and scalability,and reducing the maintenance time and cost.One promising way for meeting these challenges is to employ multichannel optical wireless communication as part of the data center hybrid communication network.In this paper,we analyze three technologies that could be used in this context:MIMO (Multiple-in-Multipleout),multiplexing through orbital angular momentum of light,and direct modulation through the large number of modes associated with orbital angular momentum.Our results indicate that these technologies could provide an innovative and flexible means of meeting the challenges of the next generation of data centers.
  • 摘要：In FSO (Free-Space Optical) communications,performance of the communication systems is severely degraded by atmospheric turbulence.PPM (Pulse Position Modulation) is widely used in FSO communication systems owing to its high power efficiency.In this paper,we present a combination of the BMST (Block Markov Superposition Transmission) technique and the PPM scheme to improve the reliability of the transmission over FSO links.Based on analyzing an equivalent system,a lower bound on the bit-error-rate of the proposed scheme is presented.Extensive simulations are performed which show that the BMST-PPM system performs well under a wide range of turbulence conditions and improves the performance of the basic code.Simulation results also show that,the performance of the system with the sliding-window detection/decoding algorithm matches well with the lower bound in the low-error-rate region.
  • 摘要：Data transmission with RGB LEDs is attracting significant research interest in VLC (Visible Light Communication).We consider the power optimization under brightness and communication requiremnents for RGB LEDs,and model the color constraint using the MacAdam ellipse instead of a fixed point in the chromaticity diagram.Then an optimization problem is formulated to determine the transmission power consumption and the corresponding coordinates in the chromaticity diagram.We propose a novel two-step algorithm to solve the optimization problem with lower implementation complexity.Numerical results show that the proposed approach shows the same performance as the optimal solution using a brute-force method,and requires the lower power consumption using MacAdam ellipse instead of merely a fixed point in the chromaticity diagram.
  • 摘要：OCC (Optical Camera Communication) has been proposed in recent years as a new technique for visible light communications.This paper.introduces the implementation and experimental demonstration of an OCC system.Phase uncertainty and phase slipping caused by camera sampling are the two major challenges for OCC.In this paper,we propose a novel modulation scheme called undersampled differential phase shift on-off keying to encode binary data bits without exhibiting any flicker to human eyes.The phase difference between two consecutive samples conveys one-bit information,which can be decoded by a low-frame-rate camera receiver.Error detection techniques are introduced to enhance the reliability of the system.We present the hardware and software design of the proposed system,which is implemented with a Xilinx FPGA and a Logitech commercial camera.Experimental results demonstrate that a bit-error rate of 10-5 can be achieved with 7.15 mW received signal power over a link distance of 15 cm.
  • 摘要：Recently,FSO (Free-Space Optical Communication) has received a lot of attention thanks to its high data-rate transmission via unbounded unlicensed bandwidth.However,some weather conditions lead to significant degradation of the FSO link performance.Based on this context and in order to have a better understanding of the capabilities of FSO communication in a coastal environment,the effects of temperature and humidity on an FSO system are investigated in this study.An experiment is conducted using an open source FSO system that achieves a transmission rate of 1 Gbit/s at a distance of 70 m.Two new mathematical models are proposed to represent the effects of temperature and humidity on our developed FSO system operating at a wavelength of 1 550 nm.The first model links the FSO attenuation coefficient to the air temperature in coastal regions,while the second model links the FSO attenuation coefficient to the humidity and the dew-point temperature.The key finding of this study is that FSO links can achieve maximum availability in a coastal city with normal variations in temperature and humidity.
  • 摘要：In this paper,we propose an EADO-OFDM (Enhanced Asymmetrically Clipped DC Biased Optical Orthogonal Frequency Division Multiplexing) method for IM/DD (Intensity-Modulated DirectDetection) optical systems,in which the AV-DCO-OFDM (Absolute Valued DC Biased Optical OFDM) symbols on the even subcarriers and ACO-OFDM (Asymmetrically Clipped Optical OFDM) symbols on the odd subcarriers are combined for simultaneous transmission.Moreover,we discuss the PDF (Probability Density Function) and electrical SNR (Signal to Noise Ratio) of the symbols,which are utilized to estimate the BER (Bit Error Ratio) performance and overall performance of EADO-OFDM.The Monte Carlo simulation results have validated the theoretical analysis and have also confirmed the EADO-OFDM is attractive considering the following benefits.Firstly,EADO-OFDM is more energy efficient compared to the power-efficient DCO-OFDM (DC Biased Optical OFDM),since the required DC bias is smaller when appropriate constellation size combinations are chosen.In addition,EADO-OFDM performs better than the conventional ADO-OFDM (Asymmetrically Clipped DC Biased Optical OFDM),because the absolute value operation causes no clipping distortion.
  • 摘要：In this work,we consider employing the NOMA (Non-Orthogonal Multiple Access) technique in downlink VLC (Visible Light Communication) for performance enhancement.In particular,focusing on a typical NOMA scenario with two users,we optimize the power allocation strategies under both sum-rate maximization and max-min fairness criteria,where practical optical power and QoS (Quality of Service) constraints are included.As our main contribution,we achieve optimal power allocation solutions in semi-closed forms via mathematical analysis,which,to the best of our knowledge,have not been reported in literature.Simulation results demonstrate that NOMA can provide remarkable performance gains over OMA (Orthogonal Multiple Access) in the context of VLC downlinks.
  • 摘要：As Internet access widens,IDS (Intrusion Detection System) is becoming a very important component of network security to prevent unauthorized use and misuse of data.An IDS routinely handles massive amounts of data traffic that contain redundant and irrelevant features,which impact the performance of the IDS negatively.Feature selection methods play an important role in eliminating unrelated and redundant features in IDS.Statistical analysis,neural networks,machine learning,data mining techniques,and support vector machine models are employed in some such methods.Good feature selection leads to better classification accuracy.Recently,bio-inspired optimization algorithms have been used for feature selection.This work provides a survey of feature selection techniques for IDS,including bio-inspired algorithms.
  • 摘要：This paper introduces infrastructure-to-vehicle and vehicle-to-vehicle communications using VLC.A VLC coupled with a high-speed image sensor is introduced (i.e.,image sensor communication).The high-speed image sensors provide eyes for autonomous and connected vehicles.VLC imparts data reception capability to image sensors with necessary functions,which can then be provided to autonomous and connected vehicles.In this paper,some of our research on coupling VLC to high-speed image sensors is introduced,including our key findings:the basics of ISC,a vehicle motion model,and range estimation.
  • 摘要：Millimeter wave (mm-wave) communication is widely considered to be a promising technique for 5G (Fifth Generation) cellular systems.Owing to the high path loss of mm-wave channels,5G networks could employ a heterogeneous structure that consists of an MBS (Macro Base Station) and numerous SBSs (Small Base Stations).In this paper,we analyze the coverage and rate performance of an mm-wave heterogeneous network.Using user beam selection,we derive analytical expressions for the coverage probabilities of the SBSs and MBS.Furthermore,the average achievable rate for a typical user is also investigated.It is shown that the analytical results closely follow those of the simulations with marginal differences.
  • 摘要：The 5G network connecting billions of Internet of things (IoT) devices will make it possible to harvest an enormous amount of real-time mobile data.Furthermore,the 5G virtualization architecture will enable cloud computing at the (network) edge.The availability of both rich data and computation power at the edge has motivated Internet companies to deploy artificial intelligence (AI) there,creating the hot area of edge-AI.Edge learning,the theme of this project,concerns training edge-AI models,which endow on IoT devices intelligence for responding to real-time events.However,the transmission of high-dimensional data from many edge devices to servers can result in excessive communication latency,creating a bottleneck for edge learning.Traditional wireless techniques deigned for only radio access are ineffective in tackling the challenge.Attempts to overcome the communication bottleneck has led to the development of a new class of techniques for intelligent radio resource management (RRM),called data-importance aware RRM.Their designs feature the interplay of active machine learning and wireless communication.Specifically,the metrics that measure data importance in active learning (e.g.,classification uncertainty and data diversity) are applied to RRM for effident acquisition of distributed data in wireless networks to train AI models at servers.This article aims at providing an introduction to the emerging area of importance-aware RRM.To this end,we will introduce the design prindples,survey recent advancements in the area,discuss some design examples,and suggest some promising research opportunities.
  • 摘要：While the commercial deployment and promotion of 5G is ongoing,mobile communication networks are still faring three fundamental challenges,i.e.,spectrum resource scarcity,espedally for low-frequency spectrum,exacerbated by fragmented spectrum allocation,user-centric network service provision when facing billions of personalized user demands in the era of Internet of everything (IoE),and proliferating operation costs mainly due to huge energy consumption of network infrastructure.To address these issues,it is imperative to consider and develop disruptive technologies in the next generation mobile communication networks,namely 6G.In this paper,by studying brain neurons and the neurotransmission,we propose the fully-decoupled radio access network (FD-RAN).In the FD-RAN,base stations (BSs) are physically decoupled into control BSs and data BSs,and the data BSs are further physically split into uplink BSs and downlink BSs.We first review the fundamentals of neurotransmission and then propose the 6G design prindples inspired by the neurotransmission.Based on the principles,we propose the FD-RAN architecture,elastic resource cooperation in FD-RAN,and improved transport service layer design.The proposed fully decoupled and flexible architecture can profoundly facilitate resource cooperation to enhance the spectrum utilization,reduce the network energy consumption and improve the quality of user experience.Future research topics in this direction are envisioned and discussed.
  • 摘要：Aerial platforms and edge servers have been recognized as two promising building blocks to improve the quality of service (QoS) in space-air-ground integrated vehicular networks (SAGIN).Communication intensive tasks can be offloaded to aerial platforms via broadcasting,while computation intensive tasks can be offloaded to ground edge servers.However,the key issues including how to allocate radio resources and how to determine the task offloading strategy for the two types of tasks,are yet to be solved.In this paper,the joint optimization of radio resource allocation and bidirectional offloading configuration is investigated.To deal with the non-convex nature of the original problem,we decouple it into a two-step optimization problem.In the first step,we optimize the bidirectional offloading configuration in the case of the radio resource allocation known in advance,which is proved to be a convex optimization problem.In the second step,we optimize the radio resource allocation through a brute-force search method.We use queuing theories to analyze the average delay of the two tasks with respect to the broadcasting capacity and task arrival rate.The offloading strategies with closed-form expressions of communication intensive tasks are proposed.We then propose a heuristic algorithm which is shown to perform better than interior point algorithm in simulations.The numerical results also demonstrate that the aerial platforms and edge servers can significantly reduce the average delay of the tasks under different network conditions.
  • 摘要：As unmanned aerial vehicles (UAV) deployment is shifting from military to civilian sectors,and in particular as a means of facilitating more flexible and versatile wireless communications,the UAV channels that were previously not well understood are attracting increasing research and investigation.As the key component facilitating the UAV-aided communications,UAV channel characteristics and modeling are of critical importance to the designed UAV system to achieve satisfactory performance.In this article,we will provide a comprehensive overview and the future perspective of envisioned UAV communication system benefits,the existing and needed UAV channel measurements and modeling approaches,together with the new viewpoint of UAV channel applications in different communication and networking layers.Both existing work and future directions are extensively covered.
  • 摘要：The Internet of things (IoT),as an extension of the Internet,has become a trend of network development nowadays.In order to protect the integrity and authenticity of the information in the IoT,an identity authentication protocol applied to the networked devices is designed in this paper,using the physical unclonable function (PUF) to extract the uniqueness and tamper resistance of the randomness in the manufacturing process of the physical device.We propose the protocol including the database,accessed devices,access devices and users in the specific network environment.Relying on the unique identification information generated by the PUF embedded in devices and passwords set by users,devices and users identities could be verified through zero-knowledge proofs.The performance analysis and the experiment at the end of this work show that our protocol provides users with a strong security guarantee for IoT devices.
  • 摘要：Enabling cellular access for unmanned aerial vehicles (UAVs) is a practically appealing solution to realize their high-quality communications with the ground for ensuring safe and efficient operations.In this paper,we study the trajectory design for a cellularconnected UAV that needs to fly from given initial to final locations,while communicating with the ground base stations (GBSs) subject to a minimum signal-to-noise ratio (SNR) requirement along its flight.However,due to various practical considerations such as GBSs' locations and coverage range as well as UAV's trajectory and mobility constraints,the SNR target may not be met at certain time periods during the flight,each termed as an outage duration.In this paper,we first propose a general outage cost function in terms of outage durations in the flight,which includes the two commonly used metrics,namely total outage duration and maximum outage duration as special cases.Based on it,we formulate a UAV trajectory optimization problem to minimize its mission completion time,subject to a constraint on the maximum tolerable outage cost.To tackle this challenging (non-convex) optimization problem,we first transform it into a tractable form and thereby reveal some useful properties of the optimal trajectory solution.Based on these properties,we further simplify the problem and propose efficient algorithms to check its feasibility and obtain optimal as well as low-complexity suboptimal solutions for it by leveraging graph theory and convex optimization techniques.Numerical results show that our proposed trajectory designs outperform that by the conventional method of dynamic programming,in terms of both performance and complexity.
  • 摘要：This paper studies a wireless powered mobile edge computing (MEC) system with device-to-device (D2D)-enabled task offloading.In this system,a set of distributed multi-antenna energy transmitters (ETs) use collaborative energy beamforming to wirelessly charge multiple users.By using the harvested energy,the actively computing user nodes can offioad their computation tasks to nearby idle users (as helper nodes) via D2D communication links for self-sustainable remote computing.We consider the frequency division multiple access (FDMA) protocol,such that the D2D communications of different user-helper pairs are implemented over orthogonal frequency bands.Furthermore,we focus on a particular time block for task execution,which is divided into three slots for computation task offloading,remote computing,and result downloading,respectively,at different user-helper pairs.Under this setup,we jointly optimize the collaborative energy beamforming at ETs,the communication and computation resource allocation at users and helpers,and the user-helper pairing,so as to maximize the sum computation rate (i.e.,the number of task input-bits executed over this block) of the users,subject to individual energy neutrality constraints at both users and helpers.First,we consider the computation rate maximization problem under any given user-helper pairs,for which an efficient solution is proposed by using the techniques of alternating optimization and convex optimization.Next,we develop the optimal user-helper pairing scheme based on exhaustive search and a lowcomplexity scheme based on greedy selection.Numerical results show that the proposed design significantly improves the sum computation rate at users,as compared to benchmark schemes without such joint optimization.
  • 摘要：Constrained by orbital configuration and spectrum sharing,non-geostationary orbit (NGEO) satellites may be interfered when they are in the beam range of geostationary orbit (GEO) satellite.However,it is difficult for NGEO operators to determine the signal source.Herein,we propose a method to locate the GEO signal source and estimate beam features,including beam pointing azimuth,elevation,and beamwidth,by the beam edge positions.We transform this estimation problem into two optimization problems by minimizing the estimation error,and solve both of them through a multi-variable joint iteration method with acceptable computation complexity.Numerical results show that when NGEO satellites pass through the beam twice,the longitude estimation error is about 0.01 degree,and the estimation results will be more and more accurate as the number of passing times increases.Besides,the proposed method is also effective when there are kilometer-level errors in beam edge positions.
  • 摘要：In this paper,we combine the circular polarization technology and orbital angular momentum (OAM) into the array antenna design for the first time,achieve free switch of the different topological charges in the array by using high-speed radio frequency (RF) switch technology.We arrange microstrip patch antenna elements equidistantly along the circumference to form eight elements multi-modal OAM vortex electromagnetic wave microstrip array antenna.It can generate electromagnetic waves with dual characteristics of circular polarization and multi-modal vortex OAM (where OAM mode values are l =0,l =±1,l =±2,l =±3).Through simulation,we find mutual coupling between the radiating elements is small relatively,and increasing the number of array elements can not only improve the beam quality,but also generate electromagnetic waves with a higher order of OAM modes.Antenna model can meet the basic demands of ordinary array antenna,and also confirm the practicality of this circular polarized microstrip antenna array model.
  • 摘要：In this paper,a resource mobility aware two-stage hybrid task planning algorithm is proposed to reduce the resource conflict between emergency tasks and the common tasks,so as to improve the overall performance of space information networks.Specifically,in the common task planning stage,a resource fragment avoidance task planning algorithm is proposed,which reduces the contention between emergency tasks and the planned common tasks in the next stage by avoiding the generation of resource fragments.For emergency tasks,we design a metric to quantify the revenue of the candidate resource combination of emergency tasks,which considers both the priority of the tasks and the impact on the planned common tasks.Based on this,a resource mobility aware emergency task planning algorithm is proposed,which strikes a good balance between improving the sum priority and avoiding disturbing the planned common tasks.Finally,simulation results show that the proposed algorithm is superior to the existing algorithms in both the sum task priority and the task completion rate.
  • 摘要：It is commonly believed that orbital an-gular momentum(OAM)multiplexing is only suitable for short-range communications in line-of-sight(LoS)scenario and multipath propagation would be detrimental for OAM communications.It has been demonstrated very recently that OAM multiplexing could work in rich isotropic multipath environment when the conventional spatial equalization is used for data detection.Moreover,the resulting channel capacity is comparable to that of a conventional multiple-input multiple-output system.Nev-ertheless,the rich isotropic multipath environment is an ideal multipath scenario.In this paper,we investigate the performance of OAM multiplexing in arbitrary multipath environment.Contrary to the common belief,it is shown that multipath can be beneficial for OAM multiplexing in terms of channel capacity.Particularly,the OAM capacity increases with enlarged angular spread of the channel and reaches its maximum when the angular spread is comparable to the divergence angle of the OAM beam.Based on the study,the OAM multiplexing is further investigated for base station(BS)applications.It is shown that OAM based BS antennas are comparable to(or even outperform)the conventional BS antennas in terms of channel capacity.
  • 摘要：A low-profile cylindrical dielectric resonator antenna(CDRA)with enhanced impedance bandwidth is proposed via sharing a single triple-mode dielectric resonator.Initially,the resonant frequencies of TM01δ and TM02δ modes of a conventional CDRA are maintained far away from each other under central probe feed.Next,a circular disk with an annular ring is loaded around the conventional CDRA,aiming to excite an additional mode between these dual modes.The electric fields demon-strate that the previous TM02δ mode is transformed into the TM03δ mode for the modified CDRA,and an additional TM02δ mode is successfully excited between the TM01δ and TM03δ modes.As a result,the resonant frequencies of these three radiative modes are reallocated in proximity to each other,thus achieving the desired bandwidth enhancement.In addition,considering the small input impedance of the CDRA,a microstrip feeding line is introduced underneath the central probe for good impedance matching.With these arrangements,the resultant antenna can generate an extended bandwidth under simultaneous radiation of TM01δ,TM02s,and TM03δ modes.Finally,the proposed CDRA is designed,fabricated,and measured to validate the predicted per-formance.The simulated and measured results show that the impedance bandwidth(|S11|＜-10 dB of the antenna is dramatically extended from 8％to about 62％(2.83～5.36 GHz),while keeping a stable conical radiation pattern.In particular,a low profile property of about 0.15 free space wavelength is achieved as well.
  • 摘要：Massive machine type communication(mMTC)is anticipated to be an essential part of fifth generation(5G)networks.The main challenge for mMTC devices(mMTCDs)is the design of an access authentication scheme that can fulfill the security and privacy requirements of 5G applications,which have specific conditions,including rigorous latency and si-multaneous access.Thus,a novel 5G authentication and key agreement(5G-AKA)protocol was introduced by the 3rd generation partnership project(3GPP)to achieve mMTCD access authentication.However,5G-AKA protocol comes with some security vulnerabilities and significant delay for real-time mMTC applications,particularly when mMTCDs concurrently roam into new networks.In order to address the real-time secure and efficient access issues of multiple mMTCDs,this paper proposes a lightweight and efficient group authen-tication protocol for mMTC in 5G wireless networks.The proposed protocol,which integrates bilinear maps and an aggregate certificateless signature mechanism,can achieve several security goals,including avoidance of signaling congestion in the authentication process,mutual authentication,session key agreement,perfect forward/backward secrecy,and masked attack and key escrow resistance.Compared to existing conventional protocols,the proposed protocol demonstrates robust security and improved performance in terms of signaling cost authentication,bandwidth consumption and compu-tational cost.
  • 摘要：With the rapid upsurge of deep learn-ing tasks at the network edge,effective edge artificial intelligence(AI)inference becomes critical to provide low-latency intelligent services for mobile users via leveraging the edge computing capability.In such scenarios,energy efficiency becomes a primary concern.In this paper,we present a joint inference task selection and downlink beamforming strategy to achieve energy-efficient edge AI inference through minimizing the overall power consump-tion consisting of both computation and transmission power consumption,yielding a mixed combinatorial optimization problem.By exploiting the inherent connec-tions between the set of task selection and group sparsity structural transmit beamforming vector,we reformulate the optimization as a group sparse beamforming problem.To solve this challenging problem,we propose a log-sum function based three-stage approach.By adopting the log-sum function to enhance the group sparsity,a proximal iteratively reweighted algorithm is developed.Furthermore,we establish the global convergence analysis and provide the ergodic worst-case convergence rate for this algorithm.Simulation results will demonstrate the effectiveness of the proposed approach for improving energy efficiency in edge AI inference systems.
  • 摘要：As a widely-used machine-learning classifier,a decision tree model can be trained and deployed at a ser-vice provider to provide classification services for clients,e.g.,remote diagnostics.To address privacy concerns regarding the sensitive information in these services(i.e.,the clients'inputs,model parameters,and classification results),we propose a privacy-preserving decision tree classification scheme(PDTC)in this paper.Specifically,we first tailor an additively homomorphic encryption primitive and a secret sharing technique to design a new secure two-party comparison protocol,where the numeric inputs of each party can be privately compared as a whole instead of doing that in a bit-by-bit manner.Then,based on the comparison protocol,we exploit the structure of the decision tree to construct PDTC,where the input of a client and the model parameters of a service provider are concealed from the counterparty and the classification result is only revealed to the client.A formal simulation-based security model and the security proof demonstrate that PDTC achieves desirable security prop-erties.In addition,performance evaluation shows that PDTC achieves a lower communication and computation overhead compared with existing schemes.
  • 摘要：In order to meet the real-time performance requirements,intelligent decisions in Internet of things applications must take place right here right now at the network edge.Pushing the artificial intelligence frontier to achieve edge intelligence is nontrivial due to the con-strained computing resources and limited training data at the network edge.To tackle these challenges,we de-velop a distributionally robust optimization(DRO)-based edge learning algorithm,where the uncertainty model is constructed to foster the synergy of cloud knowledge and local training.Specifically,the cloud transferred knowledge is in the form of a Dirichlet process prior distribution for the edge model parameters,and the edge device further constructs an uncertainty set centered around the empirical distribution of its local samples.The edge learning DRO problem,subject to these two distri-butional uncertainty constraints,is recast as a single-layer optimization problem using a duality approach.We then use an Expectation-Maximization algorithm-inspired method to derive a convex relaxation,based on which we devise algorithms to learn the edge model.Furthermore,we illustrate that the meta-learning fast adaptation procedure is equivalent to our proposed Dirichlet process prior-based approach.Finally,extensive experiments are implemented to showcase the performance gain over standard approaches using edge data only.

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