异构网络中基于最大吞吐量的联合资源优化

摘要

随着互联网应用的快速发展以及数据业务需求的爆炸式增长,无线网络面临着巨大的挑战,超密集异构网络是应对此挑战的一个重要解决方案.文章提出了一种联合基站连接、功率分配和信道分配的优化模型,其优化目标为最大网络吞吐量,同时增加了单个用户的服务质量约束,保证了用户公平性.为了求解联合优化模型,提出了迭代算法,仿真结果表明,所提算法能有效地提高网络吞吐量.%With the rapid development of Internet applications and the increasing demand of data services, there are great challenges in wireless networks.In this paper, the optimization model of joint base-station association, power allocation and channel allocation is proposed.The optimization objective is to maximize the throughput of the network, and to ensure the fairness of the user under the constraints of the individual user quality-of-service.An iterative algorithm is proposed to solve the optimization model, and the simulation results show that the proposed algorithm can effectively improve the network throughput.