一种基于多小区OFDMA系统用户公平性约束的分布式资源分配算法

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。

A Distributed Resource Allocation for Multi-Cell OFDMA Networks with User Fairness

The resource allocation with user fairness is considered for the downlink of a cellular orthogonal frequency division multiaccess （OFDMA） system, in which multiple base stations are coordinated itera tively by a distributed resource allocation algorithm. In each cell, an iterative algorithm is proposed to opti mize subcarrier and power allocation alternatively, while taking into consideration both the inter-cell inter ference and the fairness among the users. In each iteration, the subearrier allocation is updated by user fairness, while the power allocation is updated by solving a convex optimization problem as lower bound with a distributed optimal algorithm. The effectiveness of the algorithm has been illustrated by numerical experiments. The result of simulation indicates that the proposed scheme could significantly improve the o- verall network throughput while maintaining fairness as compared to a conventional network with fixed transmit power spectrum.