Resource Allocation for OFDMA-based Cognitive Radio Systems with Minimum Rate Constraints
In this paper, we study the resource allocation problem for real-time services in OFDMA-based cognitive radio (CR) systems. A novel resource allocation algorithm is proposed to maximize the sum-rate of all CR users while keeping the interference introduced to the primary user (PU) under a specified threshold and at the same time to meet the constant transmission rate for each CR user to guarantee the real-time service. In contrast to classical resource allocation algorithms, the proposed algorithm can achieve higher transmission rate and guarantee each CR users target transmission rate.
cognitive radio OFDMA minimum rate constraints resource allocation water-filling
Li Li Changqing Xu Jian He
Department of Electronic Engineering Shanghai Jiao Tong University Shanghai, China
国际会议
北京
英文
234-237
2010-09-26(万方平台首次上网日期,不代表论文的发表时间)