Joint base station association and power control for uplink cognitive small cell network

Tuan LeAnh, Seonhyeok Kim, C. Hong
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引用次数: 1

Abstract

In this paper, we propose a framework to jointly optimize user association and power control for the uplink cognitive small cell network (CSN). In the considered CSN, small cell base stations (SBSs) are deployed to serve a set of small cell user equipments (SUEs) by sharing the same licensed spectrum with a macrocell base station. The problem of joint user association and power allocation is formulated as an optimization problem, in which the goal is to maximize the overall uplink throughput while guaranteeing the SINR requirements of the served SUEs and MBS protection. To solve this problem, a distributed framework based on dual decomposition is proposed to find sub-optimal solution of the user association and transmit power in distributed manner. Moreover, distributed frameworks to achieve suboptimal solutions with low-computation complexity are also proposed. Simulation results show that the proposed approaches obtain suboptimal solutions with a small number of iterations.
上行认知小蜂窝网络的联合基站关联与功率控制
本文提出了一种用于上行认知小蜂窝网络(CSN)的用户关联和功率控制联合优化的框架。在考虑的CSN中,部署小型蜂窝基站(SBSs)通过与大型蜂窝基站共享相同的许可频谱来为一组小型蜂窝用户设备(sue)提供服务。将联合用户关联和功率分配问题制定为优化问题,其目标是在保证所服务的suv和MBS保护的信噪比要求的同时,使整体上行吞吐量最大化。为了解决这一问题,提出了一种基于对偶分解的分布式框架,寻找用户关联的次优解,并以分布式方式传输功率。此外,还提出了分布式框架来实现低计算复杂度的次优解。仿真结果表明,所提方法迭代次数少,得到次优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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