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首页> 外文期刊>International journal of communication systems >Guided joint spectrum sensing and resource allocation using a novel random walk grey wolf optimization for frequency hopping cognitive radio networks
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Guided joint spectrum sensing and resource allocation using a novel random walk grey wolf optimization for frequency hopping cognitive radio networks

机译：使用新型随机游走的灰太狼优化技术对跳频认知无线电网络进行联合频谱感知和资源分配

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Effective use of unused licensed spectrum by secondary nodes without causing any harmful interference to the primary users is one of the challenging task, and in this paper, a detailed description of joint spectrum sensing and resource allocation in cognitive radio (CR) networks is discussed. The CR system utility is maximized by joint spectrum sensing and channel resource allocation scheme based on random walk grey wolf optimization (RW-GWO) algorithm for frequency hopping cognitive radio-based networks. In this paper, the nodes will sense the presence of primary users in the same channel and move to another channel in the guidance of a guide node (GN) if primary signal is detected in the channel. In order to achieve collision-free communication, primary signals and secondary signals use the channels strategically and the mechanism is described in this paper. RW-GWO is used to derive the optimum sensing and data transmission schedules. It selects the sensing nodes to sense the spectrum and other nodes take part in transmitting the data. GNs not only guide the nodes to hop to the next channel if the primary channel is detected, but also distribute the nodes in different available secondary hopping channels. Simulation results show that reliable spectrum sensing and efficient channel allocation can be achieved in our proposed algorithm.
机译：次要节点有效使用未使用的许可频谱而不会对主要用户造成任何有害干扰是一项艰巨的任务，在本文中，将对认知无线电（CR）网络中联合频谱感知和资源分配进行详细描述。通过基于频谱的认知无线电网络的随机游走的灰太狼优化（RW-GWO）算法的联合频谱感知和信道资源分配方案，CR系统的效用得以最大化。在本文中，如果在信道中检测到主信号，则节点将感知同一信道中主要用户的存在，并在引导节点（GN）的引导下移动到另一个信道。为了实现无冲突的通信，主要信号和次要信号策略性地使用了信道，并在本文中描述了这种机制。 RW-GWO用于得出最佳的传感和数据传输时间表。它选择感测节点以感测频谱，而其他节点参与传输数据。如果检测到主要信道，GN不仅会引导节点跳到下一个信道，而且还会将节点分配到不同的可用次要跳跃信道中。仿真结果表明，该算法可以实现可靠的频谱感知和有效的信道分配。

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