认知无线网络中从用户联合功率时间优化方案
Joint Optimal Power and Time Allocation for the Secondary User in Cognitive Radio Network
无线通信技术飞速发展的今天，人们对无线通信网络的数据传输需求不断增加，无线频谱的稀缺成为限制无线通信发展的瓶颈。认知无线电技术是一种解决无线频谱紧缺问题的新技术。认知用户通过感知周围环境，进行频谱接入，有效地提高了通信系统的容量和频谱利用率。无线资源管理作为认知无线网络中的一项关键技术，已成为当前研究的热点。本文基于Underlay模式的认知无线网络，提出了一种联合功率时间优化方案，以实现从用户可达速率的最大化。该方案在高信干噪比的假设下，将难以求解的优化问题进行了简化，使问题可解。仿真结果表明，该方案与单一的功率或时间优化方案相比，从用户具有更高的可达速率。
In cognitive radio networks, efficient resource allocation is essential to meet the challenges of future wireless networks. In this paper, we consider an underlay cognitive relay network and propose a joint power and time allocation approach to maximize the achievable rate for the secondary user. Since the formulated optimazation problem is analytically intractable, we further simplify the problem in the high-power scenario. Numerical results are presented to show the advantage of our approach over existing methods.
徐文波、王一凡
无线通信通信
信息与通信工程认知无线网络系统资源分配最优化
information and communication engineeringcognitive radio networkresource allocationoptimization problem
徐文波,王一凡.认知无线网络中从用户联合功率时间优化方案[EB/OL].(2015-05-25)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201505-340.点此复制
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