一种集中式城域无线资源管理方案
A Centralized Metropolitan-Scale Radio Resource Management Scheme
摘要：
这项工作研究了集中式无线电资源管理的城域网中有非常大量的接入点和用户设备。中央控制器收集来自所有接入点的时间平均流量和信道条件，并在适当的时间尺度上协调整个网络的频谱分配、用户关联和功率控制。在今天的网络中，时间尺度被认为是秒，并且在未来可能会变得更快。在每个时间点的协调问题被公式化为网络效用最大化问题，其中接入点的任何子集可以使用频谱的任何部分来服务设备的任何子集。证明了通过极其稀疏的频谱分配可以使网络效用最大化。通过利用这种稀疏性，一个有效的迭代算法与保证收敛的开发，其中的每一个迭代是在封闭的形式进行。所提出的集中式优化框架可以结合考虑加权和速率、平均分组延迟和/或能量消耗以及对传输功率的非常一般的约束的广泛类别的效用函数。数值结果表明，该算法的可行性的网络多达1,000个接入点和几千个设备。此外，该方案产生显着改善的吞吐量区域和平均分组延迟与几个著名的竞争计划相比。
英文摘要：
This work studies centralized radio resource management in metropolitan area networks with a very large number of access points and user devices. A central controller collects time-averaged traffic and channel conditions from all access points and coordinates spectrum allocation, user association, and power control throughout the network on an appropriate timescale. The timescale is conceived to be seconds in today's networks, and it is likely to become faster in the future. The coordination problem in each time epoch is formulated as a network utility maximization problem, where any subset of access points may use any parts of the spectrum to serve any subsets of devices. It is proved that the network utility can be maximized by an extremely sparse spectrum allocation. By exploiting this sparsity, an efficient iterative algorithm with guaranteed convergence is developed, each iteration of which is performed in closed form. The proposed centralized optimization framework can incorporate a broad class of utility functions that account for weighted sum rates, average packet delay, and/or energy consumption, along with very general constraints on transmission powers. Numerical results demonstrate the feasibility of the algorithm for networks with up to 1,000 access points and several thousand devices. Moreover, the proposed scheme yields significantly improved throughput region and average packet delay comparing with several well-known competing schemes.
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