认知无线网状网络中的电源管理和带宽分配

M. Haidar, Mehdi Msakni, Z. Dziong
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引用次数: 10

摘要

在本文中,我们考虑了一种认知无线网状网络,其中未许可频谱上的网状节点可以机会地访问许可频谱。由于感兴趣的频谱被许可给主用户(PU)或网络,因此网格节点上的电源管理和带宽分配应该仔细挑选,以便PU容忍的干扰不超过预定义的阈值。我们的兴趣是通过服务于尽可能多的网格节点来最大化认知无线电网络的频谱利用率,同时适当地保护PU免受有害干扰。该问题被表述为非线性整数规划(NLIP)。然而,由于问题的复杂性,提出了一种较低复杂度的启发式算法。结果提供了有多少和哪些认知网格节点被服务,它们的最终传输功率水平和频谱利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Management and Bandwidth Allocation in a Cognitive Wireless Mesh Network
In this paper, we consider a cognitive wireless mesh network where mesh nodes on an unlicensed spectrum make opportunistic access to a licensed spectrum. Since the spectrum of interest is licensed to a Primary User (PU) or network, power management and bandwidth allocation at the mesh nodes should be carefully picked out such that the interference tolerated at the PU does not exceed a predefined threshold value. Our interest is to maximize the spectrum utilization of the cognitive radio network by serving the most possible mesh nodes while appropriately protecting the PU from harmful interference. The problem is formulated as a Non-Linear Integer Program (NLIP). However, due to the complexity of the problem, a lower complexity heuristic algorithm is proposed. Results provide how many and which cognitive mesh nodes have been served, their final transmitted power level, and the spectrum utilization.
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