摘要
多用户MIMO-OFDM系统中的信道质量信息(CQI)反馈与量化算法是实现自适应资源分配的关键技术。本文利用概率论与随机过程的知识推导了反馈信息与用户服务质量(QoS)如误码率、传输速率和中断概率要求之间的数学关系,并以系统误码率要求为约束条件,给出使系统整体传输速率最大化的量化门限。仿真结果表明,本文提出的动态有限反馈与量化算法根据系统用户数及QoS要求动态调整反馈信息与量化门限,既可有效降低系统的反馈开销,还能显著提高系统的频谱效率,并且实时运算复杂度低,是一种实际可行的方案。
Channel quality information（CQI） feedback and quantization algorithm is a core technique of adaptive resource allocation in multiuser MIMO-OFDM system. Using the theory of probability and random processes, the mathematic relationship of the feedback information and user＇s quality of service（QoS） such as bit errors ratio, transmission rate, outage probability is discussed in this paper. Then, the optimal quantization thresholds are provided in order to maximize the average transmission rate of the system based on the predefined average bit errors ratio. Simulation results show that the proposed dynamic limited feedback and quantization algorithm can not only save the feedback cost, but also improve the spectrum efficiency, and the complication of real time operation is well situated. It is a feasible scheme.
出处
《计算机科学》
CSCD
北大核心
2008年第4期106-108,134,共4页
Computer Science
基金
国家高技术研究发展计划资助项目(2003AA12331005)
国家自然科学基金资助项目(60496315)
