Distributed Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks
Distributed Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks
复制标题
以用户为中心的无小区 MIMO 网络的分布式资源分配优化
DOI：
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复制
发表时间：
2021
影响因子：
10.4
通讯作者：
K. V. Srinivas
中科院分区：
文献类型：
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作者：
Hussein A. Ammar;R. Adve;S. Shahbazpanahi;G. Boudreau;K. V. Srinivas
我们为以用户为中心、无小区、空间分布、多输入多输出（MIMO）网络开发了两种分布式下行链路资源分配算法。在这样的网络中，每个用户由附近的发射机子集服务，我们称之为分布式单元或du。区域内各du的运行由一个中央单元（CU）控制。我们的第一个方案是在du上实现的，而第二个方案是在控制这些du的cu上实现的。我们定义了一个混合服务质量度量，使系统资源能够以比例公平的方式进行分布式优化。具体来说，我们的每个算法执行用户调度、波束形成和功率控制，同时考虑信道估计误差。重要的是，我们的算法不需要在数据单元分布（CU-distributed）系统的数据单元之间交换信息，同时也能平滑收敛。我们的结果表明，与du分布式系统相比，我们的cu分布式系统提供了1.3到1.8倍的网络吞吐量，在复杂性和前端负载方面略有增加，并且比基准方案（如本地零强制）有很大的提高。我们还分析了cu分布式系统提供的权衡，从而强调了在以用户为中心的无蜂窝网络中部署多个cu的重要性。
We develop two distributed downlink resource allocation algorithms for user-centric, cell-free, spatially-distributed, multiple-input multiple-output (MIMO) networks. In such networks, each user is served by a subset of nearby transmitters that we call distributed units or DUs. The operation of the DUs in a region is controlled by a central unit (CU). Our first scheme is implemented at the DUs, while the second is implemented at the CUs controlling these DUs. We define a hybrid quality of service metric that enables distributed optimization of system resources in a proportional fair manner. Specifically, each of our algorithms performs user scheduling, beamforming, and power control while accounting for channel estimation errors. Importantly, our algorithm does not require information exchange amongst DUs (CUs) for the DU-distributed (CU-distributed) system, while also smoothly converging. Our results show that our CU-distributed system provides 1.3- to 1.8-fold network throughput compared to the DU-distributed system, with minor increases in complexity and front-haul load - and substantial gains over benchmark schemes like local zero-forcing. We also analyze the trade-offs provided by the CU-distributed system, hence highlighting the significance of deploying multiple CUs in user-centric cell-free networks.
影响因子：
8.3
作者：
M. Bashar;H. Ngo;K. Cumanan;A. Burr;P. Xiao;Emil Björnson;E. Larsson
通讯作者：
M. Bashar;H. Ngo;K. Cumanan;A. Burr;P. Xiao;Emil Björnson;E. Larsson
DOI：
10.1109/tgcn.2019.2932071
发表时间：
2019-07
影响因子：
4.8
作者：
M. Bashar;K. Cumanan;A. Burr;H. Ngo;E. Larsson;P. Xiao
通讯作者：
M. Bashar;K. Cumanan;A. Burr;H. Ngo;E. Larsson;P. Xiao