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Cross-Layer Energy-Efficiency Optimization of Packet Based Wireless MIMO Communication Systems

机译:基于分组的无线MIMO通信系统的跨层能效优化

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Energy in today's short-range wireless communication is mostly spent on the analog-and digital hardware rather than on radiated power. Hence, purely information-theoretic considerations fail to achieve the lowest energy per information bit and the optimization process must carefully consider the overall transceiver. In this paper, we propose to perform cross-layer optimization, based on an energy-aware rate adaptation scheme combined with a physical layer that is able to properly adjust its processing effort to the data rate and the channel conditions to minimize the energy consumption per information bit. This energy proportional behavior is enabled by extending the classical system modes with additional configuration parameters at the various layers. Fine grained models of the power consumption of the hardware are developed to provide awareness of the physical layer capabilities to the medium access control layer. The joint application of the proposed energy-aware rate adaptation and modifications to the physical layer of an IEEE 802.11n system, improves energy-efficiency ( averaged over many noise and channel realizations) in all considered scenarios by up to 44 %.
机译:当今的短距离无线通信中的能量主要花费在模拟和数字硬件上,而不是辐射功率上。因此,纯粹基于信息理论的考虑无法实现每个信息位的最低能量,因此优化过程必须仔细考虑整个收发器。在本文中,我们建议基于能量感知速率适配方案与物理层相结合来执行跨层优化,该物理层能够根据数据速率和信道条件适当调整其处理工作量,以最大程度地降低能耗。信息位。通过在各个层上使用其他配置参数扩展经典系统模式,可以实现这种能量比例行为。开发了硬件功耗的细粒度模型,以向媒体访问控制层提供对物理层功能的了解。提议的能量感知速率适配和修改对IEEE 802.11n系统的物理层的联合应用,在所有考虑的场景中将能量效率(在许多噪声和信道实现上平均)提高了44%。

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