Performance evaluation and system optimization of Green cognitive radio networks with a multiple-sleep mode
Performance evaluation and system optimization of Green cognitive radio networks with a multiple-sleep mode
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DOI：
10.1007/s10479-018-3086-6
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发表时间：
2019-06-01
影响因子：
4.8
通讯作者：
Yue, Wuyi
中科院分区：
文献类型：
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作者：
Liu, Jianping;Jin, Shunfu;Yue, Wuyi
认知无线电网络（CRN）已经成为实现动态频谱分配的解决方案。CRN中的绿色通信将有助于减少排放污染，最大限度地降低运营成本和降低能源消耗。绿色CRN将有助于实现绿色频谱管理。在本文中，我们研究的关键问题，以显示如何保存基站的能量在绿色CRNs。为了满足更可持续的绿色通信的需求，我们提出了一种多睡眠模式的授权信道在CRN。基于多睡眠模式下的动态频谱接入策略，建立了一个连续时间马尔可夫链模型来描述次用户和主用户数据包的随机行为。利用矩阵几何解法，得到了系统模型的稳态概率分布。本文进一步从SU分组的吞吐量、SU分组的平均延迟、系统的节能率和信道利用率四个方面分析了系统的性能指标。我们也提供了统计实验与分析和仿真，以调查的影响，一个信道的服务速率和睡眠定时器参数的系统性能指标。为了最大限度地利用频谱资源，满足用户对服务质量的要求，构造了系统代价函数，并采用改进的Jaya算法，利用昆虫种群模型对节能策略进行优化。通过数值计算，给出了系统费用的最优组合和全局最小值.
Cognitive radio networks (CRNs) have been emerged as a solution for realizing dynamic spectrum allocation. Green communication in CRNs will contribute to reducing emission pollution, minimizing operation cost and decreasing energy consumption. The Green CRNs would help in realizing green spectrum management. In this paper, we examine the key issue to show how to conserve the energy of base stations in the Green CRNs. In order to meet the demand for more sustainable green communication, we propose a multiple-sleep mode for licensed channels in CRNs. Based on a dynamic spectrum access strategy with the proposed multiple-sleep mode, we establish a continuous-time Markov chain model to capture the stochastic behavior of secondary user (SU) and primary user packets. By using the matrix geometric solution method, we obtain the steady-state probability distribution for the system model. This paper further presents analysis for performance measures in terms of the throughput of SU packets, the average latency of SU packets, the energy saving rate of the system and the channel utilization. We also provide statistical experiments with analysis and simulation to investigate the influences of the service rate of one channel and the sleep timer parameter on the system performance measures. In order to get the utmost out of the spectrum resource and meet the demands for the quality of service requirements of SUs, we construct a system cost function, and improve a Jaya algorithm employing an insect-population model to optimize the proposed energy saving strategy. We also show the optimal combination and global minimum of the system cost by numerical results.