Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks
Generalized Buffer-State-Based Relay Selection in Cooperative Cognitive Radio Networks
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DOI：
10.1109/access.2020.2965742
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Ruichao Zhang;R. Nakai;K. Sezaki;S. Sugiura
中科院分区：
文献类型：
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作者：
Ruichao Zhang;R. Nakai;K. Sezaki;S. Sugiura
在协作认知无线电网络(CRN)环境下，提出了一种新的支持主次网络的基于缓存状态的中继选择方案。在该方案中，通过在二次网络中引入灵活的链路选择算法，成功地抑制了网间干扰和衰落的影响。更具体地说，通过依赖于二级网络中的源节点和中继节点之间的无线通信信道的广播性质，在多个中继节点之间共享相关联的源分组。这使我们能够从额外的自由度中受益。此外，我们还根据次级网络中每个中继节点的缓存状态来考虑链路选择的优先级。这有助于避免有害的空和满缓冲状态。此外，为了验证数值结果，基于马尔可夫链模型，推导了该方案的中断概率和平均分组时延的解析界。还调查了次级网络的中央协调器监视信道状态信息和缓冲器状态所需的开销。数值结果表明，在缓存辅助的CRN中，该方案获得了比传统的基于最大比的方案更好的中断和分组时延性能。
In this paper, we propose a novel buffer-state-based relaying selection scheme in the context of cooperative cognitive radio networks (CRNs), supporting the primary and secondary networks. In the proposed scheme, both the effects of inter-network interference and fading are successfully suppressed by introducing a flexible link selection algorithm in the secondary network. More specifically, by relying on the broadcast nature of wireless communication channels between a source node and relay nodes in the secondary network, the associated source packet is shared among multiple relay nodes. This allows us to benefit from the additional degree of freedom. Furthermore, we consider the priority for link selection based on the buffer state of each relay node in the secondary network. This contributes to the avoidance of detrimental empty and full buffer states. Moreover, analytical bounds of the outage probability and the average packet delay are derived for the proposed scheme based on the Markov chain model, in order to verify the numerical results. The overhead required for a central coordinator of the secondary network to monitor channel state information and buffer states are also investigated. Our numerical results demonstrate that the proposed scheme achieves better outage and packet-delay performance than the conventional max-ratio-based scheme in the buffer-aided CRN.