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认知无线电网络绿色频谱共享技术研究

发布时间:2018-04-11 17:07

  本文选题:中继协作 + 能效 ; 参考:《西安电子科技大学》2014年硕士论文


【摘要】:认知无线电网络(CRN)中的动态频谱共享技术是有效解决频谱资源利用率低下的关键技术,而绿色通信强调节省能源和保护环境的理念,追求以较小能耗获得较大吞吐量,因此以能效为目标实现绿色频谱共享受到了研究者的广泛关注。基于中继协作的频谱共享技术是一种双赢模式,该技术一方面可以提高主用户(PU)的传输可靠性和稳定性,另一方面使认知用户(SU)获得了接入授权频谱的机会。本文从能效角度研究基于中继协作的频谱共享技术,综合考虑吞吐量和能耗,提出以最大化认知系统加权总能效为目标的绿色频谱共享算法(GSS)来解决功率分配和频谱共享时间的分配问题。与传统解决能效问题的分数规划算法相比,GSS算法在进行认知用户功率分配的同时,有效地解决了协作频谱共享时间的分配问题,且本文提出的GSS算法采用基于认知系统加权总能效的最佳中继选择策略,选出最佳中继集合协助主用户进行传输,在满足主用户QoS需求的条件下使协作中继获得了比其它中继集合更高的加权总能效。最后仿真结果验证了GSS算法使认知系统能效得到了提升,从而说明了GSS算法的合理性和有效性。
[Abstract]:The dynamic spectrum sharing technology in CRN (Cognitive Radio Network) is the key technology to solve the problem of low utilization of spectrum resources. Green communication emphasizes the idea of saving energy and protecting the environment, and seeks to achieve greater throughput with less energy consumption.Therefore, the goal of energy efficiency to achieve green spectrum sharing has been widely concerned by researchers.The spectrum sharing technology based on relay collaboration is a win-win mode. On the one hand, it can improve the transmission reliability and stability of the primary user (PUU); on the other hand, the cognitive user can gain access to the authorized spectrum.This paper studies the spectrum sharing technology based on relay collaboration from the perspective of energy efficiency, considering the throughput and energy consumption.A green spectrum sharing algorithm (GSS) aiming at maximizing weighted total energy efficiency of cognitive systems is proposed to solve the problem of power allocation and spectrum sharing time allocation.Compared with the traditional fractional programming algorithm to solve the problem of energy efficiency, the GSS algorithm not only performs power allocation for cognitive users, but also effectively solves the allocation problem of cooperative spectrum sharing time.The proposed GSS algorithm adopts the optimal relay selection strategy based on the weighted total energy efficiency of cognitive system, and selects the best relay set to assist the primary user in the transmission.Under the condition of satisfying the QoS requirement of the primary user, the cooperative relay can achieve higher weighted total energy efficiency than the other relay sets.Finally, the simulation results show that the efficiency of cognitive system is improved by GSS algorithm, which shows the rationality and effectiveness of GSS algorithm.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN925

【参考文献】

相关博士学位论文 前1条

1 闫盛楠;基于协作的认知无线电频谱共享技术研究[D];北京邮电大学;2011年



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