Optimal Channel Reservation in Cooperative Cognitive Radio Networks
Optimal Channel Reservation in Cooperative Cognitive Radio Networks
复制标题
协作认知无线电网络中的最优信道预留
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
R. Vesilo
中科院分区：
文献类型：
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作者：
Jin Lai;R. Liu;E. Dutkiewicz;R. Vesilo
研究了认知无线电协作网络（CRN）中的最优信道预留问题，其中次用户（SU）可以使用协作CRN的联合频谱池。受协作CRN中SU高强制终止的启发，我们提出了两种信道预留方案：固定信道放置预留（FCPR）和动态信道放置预留（DCPR），并使用马尔可夫链方法从理论上分析了它们的性能。我们的数值结果，通过仿真验证，表明对于一个给定数量的预留信道，DCPR算法实现更好的用户体验，通过减少强制终止概率。在此基础上，提出了两种增强的预约算法：算法A最大化CRN的整体容量，使网络运营商增加收入;算法B最小化用户体验成本函数，提供更好的服务。
This paper studies optimal channel reservation in cooperative cognitive radio networks (CRNs) where secondary users (SUs) have access to the combined spectrum pool of cooperating CRNs. Motivated by SU high forced termination in cooperative CRNs, we propose two channel reservation schemes, Fixed Channel Placement Reservation (FCPR) and Dynamic Channel Placement Reservation (DCPR), and theoretically analyze their performances using the Markov chain approach. Our numerical results, validated by simulation, indicate that for a given number of reserved channels, the DCPR algorithm achieves better user experience by reducing the forced termination probability. Based on this analysis, we propose two enhanced reservation algorithms: Algorithm A maximizes the overall capacity of CRNs to enable network operators to increase their revenue; Algorithm B minimizes the user experience cost function to provide better services.