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A Joint Routing and Time-Slot Assignment Algorithm for Multi-Hop Cognitive Radio Networks with Primary-User Protection

机译:具有主用户保护的多跳认知无线电网络的联合路由和时隙分配算法

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Cognitive radio has recently emerged as a promising technology to improve the utilization efficiency of the radio spectrum. In cognitive radio networks, secondary users (SUs) must avoid causing any harmful interference to primary users (PUs) and transparently utilize the licensed spectrum bands. In this paper, we study the PU-protection issue in multi-hop cognitive radio networks. In such networks, secondary users carefully select paths and time slots to reduce the interference to PUs. We formulate the routing and time-slot assignment problem into a mixed integer linear programming (MILP). To solve the MILP which is NP-Hard in general, we propose an algorithm named RSAA (Routing and Slot Assignment Algorithm). By relaxing the integral constraints of the MILP, RSAA first solves the max flow from the source to the destination. Based on the max flow, RSAA constructs a new network topology. On the new topology, RSAA uses branch and bound method to get the near optimal assignment of time slots and paths. The theoretical analyses show that the complexity of our proposed algorithm is O(N~4). Also, simulation results demonstrate that our proposed algorithm can obtain near-optimal throughputs for SUs.
机译:认知无线电最近已经成为提高无线电频谱利用效率的有前途的技术。在认知无线电网络中,次要用户(SU)必须避免对主要用户(PU)造成任何有害干扰,并透明地使用许可的频段。在本文中,我们研究了多跳认知无线电网络中的PU保护问题。在这样的网络中,次级用户仔细选择路径和时隙以减少对PU的干扰。我们将路由和时隙分配问题表述为混合整数线性规划(MILP)。为了解决通常为NP-Hard的MILP,我们提出了一种名为RSAA(路由和时隙分配算法)的算法。通过放宽MILP的整体约束,RSAA首先解决了从源头到目的地的最大流量。基于最大流量,RSAA构造一个新的网络拓扑。在新拓扑上,RSAA使用分支和绑定方法来获取时隙和路径的最佳分配。理论分析表明,该算法的复杂度为O(N〜4)。仿真结果还表明,我们提出的算法可以为SUs获得接近最优的吞吐量。

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