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Distributed Resource Allocation Based on Queue Balancing in Multihop Cognitive Radio Networks

机译:多跳认知无线电网络中基于队列平衡的分布式资源分配

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Cognitive radio (CR) allows unlicensed users to access the licensed spectrum opportunistically (i.e., when the spectrum is left unused by the licensed users) to enhance the spectrum utilization efficiency. In this paper, the problem of allocating resources (channels and transmission power) in multihop CR networks is modeled as a multicommodity flow problem with the dynamic link capacity resulting from dynamic resource allocation, which is in sharp contrast with existing flow-control approaches that assume fixed link capacity. Based on queue-balancing network flow control that is ideally suited for handling dynamically changing spectrum availability in CR networks, we propose a distributed scheme (installed and operational in each node) for optimal resource allocation without exchanging spectrum dynamics information between remote nodes. Considering the power masks, each node makes resource-allocation decisions based on current or past local information from neighboring nodes to satisfy the throughput requirement of each flow. Parameters of these proposed schemes are configured to maintain the network stability. The performance of the proposed scheme for both asynchronous and synchronous scenarios is analyzed comparatively. Both cases of sufficient and insufficient network capacity are considered.
机译:认知无线电(CR)允许非许可用户机会性地访问许可频谱(即,当频谱被许可用户闲置时),以提高频谱利用效率。本文将多跳CR网络中的资源分配(信道和传输功率)问题建模为一种多商品流问题,其动态链路容量是由动态资源分配引起的,这与假定的现有流控制方法形成鲜明对比固定链接容量。基于非常适合处理CR网络中动态变化的频谱可用性的队列平衡网络流量控制,我们提出了一种分布式方案(在每个节点中安装并运行)以实现最佳的资源分配,而无需在远程节点之间交换频谱动态信息。考虑到功率掩码,每个节点基于来自相邻节点的当前或过去的本地信息来做出资源分配决策,以满足每个流的吞吐量要求。这些提议的方案的参数被配置为维持网络稳定性。比较分析了该方案在异步和同步情况下的性能。考虑网络容量充足和不足的两种情况。

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