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针对多小区OFDMA系统下行链路,研究了用户公平性约束下的资源分配问题,提出了一种多基站协作的迭代优化的分布式资源分配算法。每个小区根据干扰状况及用户公平性,迭代地进行子载波和功率的资源优化;而每次迭代中,根据用户公平性准则分配子载波,并将非凸的小区功率优化问题转化为其下界的凸问题,通过一个分布式算法来求解。通过仿真验证了算法的有效性;仿真结果表明,与传统网络的固定功率分配的情形相比,所提算法保证了用户之间的公平性并显著提高了系统吞吐量。
Aiming at the downlink of OFDMA system in multi-cell system, the problem of resource allocation under user fairness constraints is studied. An iterative and optimized distributed resource allocation algorithm based on multi-cell cooperation is proposed. Each cell iteratively performs resource optimization of subcarriers and power according to interference conditions and user fairness. In each iteration, subcarriers are allocated according to user fairness criteria, and the non-convex cell power optimization problem is transformed into its lower bound The convex problem, solved by a distributed algorithm. Simulation results show the effectiveness of the proposed algorithm. Simulation results show that compared with the traditional fixed power allocation, the proposed algorithm can ensure fairness among users and significantly improve system throughput.