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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks
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Joint Power Control, Base Station Assignment, and Channel Assignment in Cognitive Femtocell Networks

机译：认知毫微微小区网络中的联合功率控制，基站分配和信道分配

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摘要

Cognitive radio and femtocells are recent technology breakthroughs that aim to achieve throughput improvement by means of spectrum management and interference mitigation, respectively. However, these technologies are limited by the former's susceptibility to interference and the latter's dependence on bandwidth availability. In this paper, we overcome these limitations by integrating cognitive radio and femtocell technology and exploring its feasibility and throughput improvement. To realize this, we propose an integrated architecture and formulate a multiobjective optimization problem with mixed integer variables for the joint power control, base station assignment, and channel assignment scheme. In order to find a pareto optimal solution, a weighted sum approach was used. Based on numerical results, the optimization framework is found to be both stable and converging. Simulation studies further show that the proposed architecture and optimization framework improve the aggregate throughput as the client population rises, hence confirming the successful and beneficial integration of these technologies.
机译：认知无线电和毫微微小区是近期的技术突破，旨在分别通过频谱管理和干扰缓解来实现吞吐量的提高。但是，这些技术受到前者对干扰的敏感性以及后者对带宽可用性的依赖的限制。在本文中，我们通过整合认知无线电和毫微微小区技术并探索其可行性和吞吐量提高来克服这些限制。为了实现这一目标，我们提出了一个集成架构，并为混合功率控制，基站分配和信道分配方案制定了一个混合整数变量的多目标优化问题。为了找到最优解，使用了加权和方法。根据数值结果，发现优化框架既稳定又收敛。仿真研究进一步表明，随着客户数量的增加，所提出的体系结构和优化框架提高了总吞吐量，从而证实了这些技术的成功和有益的集成。

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