Joint CoMP-cell selection and resource allocation in fronthaul-constrained C-RAN

Lei You, D. Yuan
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引用次数: 19

Abstract

Cloud-based Radio Access Network (C-RAN) is a promising architecture for future cellular networks, in which Baseband Units (BBUs) are placed at a centralized location, with capacity-constrained fronthaul connected to multiple distributed Remote Radio Heads (RRHs) that are far away from the BBUs. The centralization of signal processing enables the flexibility for coordinated multi-point transmission (CoMP) to meet high traffic demand of users. We investigate how to jointly optimize CoMP-cell selection and base station resource allocation so as to enhance the quality of service (QoS), subject to the fronthaul capacity constraint in orthogonal frequency-division multiple access (OFDMA) based C-RAN. The problem is proved to be NP-hard in this paper. To deal with the computational complexity, we derive a partial optimality condition as the foundation for designing a cell-selection algorithm. Besides, we provide a solution method of the optimum of the time-frequency resource allocation problem without loss of fairness on the QoS enhancement of all users. The simulations show good performance of the proposed algorithms for jointly optimizing the cell selection and resource allocation in a C-RAN, with respect to QoS.
前约束C-RAN中的联合CoMP-cell选择与资源分配
基于云的无线接入网(C-RAN)是未来蜂窝网络的一种很有前途的架构,其中基带单元(BBUs)被放置在一个集中的位置,容量受限的前传连接到远离BBUs的多个分布式远程无线电头(RRHs)。信号处理的集中化,为多点协调传输(CoMP)提供了灵活性,以满足用户的高流量需求。我们研究了如何在正交频分多址(OFDMA)的C-RAN前传容量约束下,共同优化comp小区选择和基站资源分配,以提高服务质量(QoS)。本文证明了该问题是np困难的。为了解决计算的复杂性,我们推导了一个部分最优性条件作为设计细胞选择算法的基础。此外,我们还提出了一种在不损害所有用户的QoS增强公平性的前提下优化时频资源分配问题的解决方法。仿真结果表明,本文提出的算法能够在QoS方面对C-RAN中的小区选择和资源分配进行联合优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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