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CBRA: A Novel Game Theory, Cell-Degree based Resource Allocation Mechanisms in WiMax Wireless Network

机译:CBRA:一种新的博弈论,即WiMax无线网络中基于单元程度的资源分配机制

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Now-a-days, WiMax becomes one of the hottest broadband wireless technologies. Resource allocation plays a vital role in IEEE 802.16, which enhances cell degree and overall throughput of the system. In this paper work, a novel game theory, cell-degree based resource allocation (CBRA) methodology is proposed. The User/Base Station (BS) assesses the data rate, and the QoS parameter such as bandwidth, latency, jitter, cell loss ratio, cell error ratio. Subsequently, the comparison of BS by User Equipment (UE) is scrutinized to estimate the cell degree with the high value of BS. The degree of user SINR dispersion is introduced as the major parameter for allocating the resource. Also enhanced the fairness of the users, by acquiring a fair share of system resource along with the relay station (RS). The experimental analysis depicts that the proposed CBRA algorithm which incorporates the network throughput, user fairness and game theory. This accomplishes higher network throughput to bandwidth consumption ratio than the existing greedy approaches.
机译:如今,WiMax成为最热门的宽带无线技术之一。资源分配在IEEE 802.16中起着至关重要的作用,它可以提高系统的信元度和整体吞吐量。在本文工作中,提出了一种新的博弈论,即基于细胞度的资源分配(CBRA)方法。用户/基站(BS)评估数据速率和QoS参数,例如带宽,等待时间,抖动,信元丢失率,信元差错率。随后,仔细检查用户设备(UE)对BS的比较,以估计具有高BS值的小区程度。介绍用户SINR分散程度作为分配资源的主要参数。通过与中继站(RS)一起获得系统资源的合理份额,还增强了用户的公平性。实验分析表明,提出的CBRA算法融合了网络吞吐量,用户公平性和博弈论。与现有的贪婪方法相比,这实现了更高的网络吞吐量与带宽消耗之比。

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