摘要
针对基于MIMO-OFDM技术的认知无线电系统,在考虑TCM编码的情况下提出了一种限速率反馈资源分配算法。该算法首先定义系统中各用户的有效发射模式集合;其次,根据链路质量指示函数,以最大化感知协作组吞吐量为目标进行初始的资源分配;然后,以确保认识用户公平享用频谱资源为目标,在认知用户间重新分配子载波和功率;最后,运用统计近似工具更新拉格朗日乘子并通过在线递归方法得到渐进收敛的资源分配解。仿真结果表明,该算法在保证授权用户权益的情况下不仅能有效提高感知协作组吞吐量,而且能保证认识用户公平享用频谱资源,并且具有反馈开销低的特点。
Limited-rate feedback resource allocation algorithm was proposed for cognitive radio systems based on multiple-input multiple-output orthogonal frequency-division multiplexing （MIMO-OFDM） technology considering the trellis coded modulation.Firstly,the algorithm defined the effective set of transmission mode per user.Secondly,it allocated the resource allocation with the goal of maximizing the collaborative awareness group throughput according to the function of link quality indicator.Thirdly,it reallocated the subcarriers and power among the cognitive users with the goal of guaranteeing the cognitive users to access the spectrum fairly.Finally,it updated the Lagrange multipliers utilizing stochastic approximation tools and obtained the asymptotic convergence solution of resource allocation by means of on-line recursion.Simulations corroborate that the algorithm not only improves the throughput of collaborative awareness group effectively but also ensures the cognitive users to access the spectrum fairly,while requiring low feedback overhead.
出处
《通信学报》
EI
CSCD
北大核心
2010年第7期96-103,共8页
Journal on Communications
基金
江苏省产学研基金资助项目(BY2009101)
航空基金资助项目(2009ZC52036)
国家自然科学基金资助项目(60801052)
国家教育部博士点基金资助项目(20093218120021)~~
