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Weighted Sum-Rate Maximization in Multi-Cell Networks via Coordinated Scheduling and Discrete Power Control

机译:通过协调调度和离散功率控制实现多小区网络中的加权和速率最大化

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Inter-cell interference mitigation is a key challenge in the next generation wireless networks which are expected to use an aggressive frequency reuse factor and a high-density base station deployment to improve coverage and spectral efficiency. modified{In this work, we consider the problem of maximizing the weighted sum-rate of a wireless cellular network via coordinated scheduling and discrete power control. We present two distributed iterative algorithms which require limited information exchange and data processing at each base station. Both algorithms provably converge} to a solution where no base station can unilaterally modify its status modified{(i.e., transmit power and user selection) to improve the weighted sum-rate of the network.} Numerical studies are carried out to assess the performance of the proposed schemes in a realistic system based on the IEEE 802.16m specifications. Simulation results show that the proposed algorithms achieve a significant rate gain over uncoordinated transmission strategies for both cell-edge and inner users.
机译:小区间干扰的缓解是下一代无线网络的关键挑战,下一代无线网络有望使用积极的频率复用因子和高密度基站部署来改善覆盖范围和频谱效率。在本文中,我们考虑了通过协调调度和离散功率控制来最大化无线蜂窝网络的加权和速率的问题。我们提出了两种分布式迭代算法,它们需要在每个基站进行有限的信息交换和数据处理。两种算法都证明可以收敛到一个解决方案,在该解决方案中,任何基站都无法单方面修改其状态(即,发射功率和用户选择)来改善网络的加权总和。}进行了数值研究,以评估基站的性能。在基于IEEE 802.16m规范的现实系统中提出的方案。仿真结果表明,对于小区边缘用户和内部用户,该算法均比不协调的传输策略具有明显的速率增益。

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