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研究了多用户协作通信系统容量与用户间比例公平性的折衷优化问题,将该优化问题视作非凸优化问题.为减小算法复杂度,利用并行分解的方法给出了一种机会中继与分布式功率分配的联合资源优化算法.首先提出了基于用户容量增益的机会中继选择策略,然后利用KKT条件给出了分布式节点优化功率分配算法.仿真结果表明:相对于随机中继选择以及平均功率分配,该算法在具有较低的算法复杂度的同时,能够显著提高系统性能并保证公平性.
The trade-off between the capacity of multi-user cooperative communication system and the user-to-user ratio fairness is studied, and the optimization problem is considered as nonconvex optimization problem. To reduce the complexity of the algorithm, an opportunistic relay And joint distributed resource allocation optimization algorithm.At first, an opportunistic relay selection strategy based on user capacity gain is proposed, and then a distributed node optimized power allocation algorithm is given by using KKT conditions.The simulation results show that, compared with the random relay selection As well as the average power allocation, the algorithm can significantly improve system performance and ensure fairness while having a lower algorithmic complexity.