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

机译：上行认知小蜂窝网络的联合基站关联和功率控制

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摘要

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.
机译：在本文中，我们提出了一个框架，用于联合优化上行链路认知小蜂窝网络（CSN）的用户关联和功率控制。在所考虑的CSN中，通过与宏小区基站共享相同的许可频谱，将小型小区基站（SBS）部署为服务一组小型小区用户设备（SUE）。联合用户关联和功率分配的问题被表述为一个优化问题，其目标是在保证所服务的SUE的SINR要求和MBS保护的同时，最大化整个上行链路吞吐量。为了解决这个问题，提出了一种基于对偶分解的分布式框架，以找到用户关联的次优解决方案，并以分布式方式传输功率。此外，还提出了分布式框架以实现低计算复杂度的次优解决方案。仿真结果表明，所提出的方法迭代次数少，可获得次优解。

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