联合网络容量与认知用户满意度的资源分配优化方案

A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks

机会频谱接入技术是提高频谱利用率的一种有效方法,论文综合考虑信道的时变性、子信道空闲的检测可信度、认知网络与主网络间的互干扰等因素,建立了一种最大化认知网络有效容量和认知用户满意度的多目标优化模型,提出了一种联合资源分配和用户调度的PAUS算法.仿真结果表明,在主用户分布密度较低的环境中,该模型较最大化网络有效容量模型具有更高的用户满意度;较最大化认知用户满意度模型可获得更高的网络有效容量.

Opportunistic spectrum access is an effective method to improve the spectrum utilization. In this paper, a multi-ob- jective optimization model is proposed to take the time-variance characteristic of wireless channel, confidence level of sub-channel detection and the mutual interference between the primary networks and the cognitive radio networks into consideration,in which the effective capacity and user satisfaction are jointly optimized. Then, we also present a resource allocation scheme for power allocation and user scheduling （PAUS）. The simulation results show that in lower density environment for the primary user, the proposed opti- mization model can achieve better performance in user satisfaction than that of the model to maximize the system capacity, and it can obtain higher network capacity than that of the optimization model to maximize the user satisfaction.