Self-Optimization in Mobile Cellular Networks: Power Control and User Association

Chung Shue Chen, F. Baccelli
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引用次数: 57

Abstract

In this work, we develop mathematical and algorithmic tools for the self-optimization of mobile cellular networks. Scalable algorithms which are based on local measurements and do not require heavy coordination among the wireless devices are proposed. We focus on the optimization of transmit power and of user association. The method is applicable to both joint and separate optimizations. The global utility minimized is linked to potential delay fairness. The distributed algorithm adaptively updates the system parameters and achieves global optimality by measuring SINR and interference. It is built on Gibbs' sampler and offers a unified framework that can be easily reused for different purposes. Simulation results demonstrate the effectiveness of the algorithm.
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移动蜂窝网络的自优化:功率控制和用户关联
在这项工作中,我们开发了用于移动蜂窝网络自优化的数学和算法工具。提出了一种基于局部测量且不需要无线设备间大量协调的可扩展算法。我们着重于传输功率和用户关联的优化。该方法既适用于联合优化,也适用于单独优化。全局效用最小化与潜在延迟公平性有关。分布式算法通过测量信噪比和干扰,自适应更新系统参数,达到全局最优。它建立在吉布斯采样器的基础上,提供了一个统一的框架,可以很容易地用于不同的目的。仿真结果验证了该算法的有效性。
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