多用户协作通信中基于比例公平的资源分配

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．

Proportional rate constraints-based resource allocation in multi-user cooperative networks

Scenario of a multi-user cooperative network was considered,in which the system throughput was optimized by using opportunistic relaying.In consideration of both fairness guarantee and throughput enhancement,it was showed that the optimization problem was formulated as a non-convex optimization problem,which was difficult to find the global optimum in terms of computational complexity.Thus the optimization problem was decomposed into two sub-problems of opportunistic relaying scheme and power allocation.First,the opportunistic relaying strategy was proposed by making use of the equivalent channel power gain.Second,a low-complexity power allocation scheme was given.The simulation result shows that the proposed scheme can both improve the system throughput and ensure the fairness with a low-complexity computational cost.