Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks
Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks
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DOI：
10.1109/access.2019.2921626
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发表时间：
2019-03
期刊：
影响因子：
3.9
通讯作者：
Alaa Alameer Ahmad;H. Dahrouj;Anas Chaaban;A. Sezgin;Mohamed-Slim Alouini
中科院分区：
文献类型：
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作者：
Alaa Alameer Ahmad;H. Dahrouj;Anas Chaaban;A. Sezgin;Mohamed-Slim Alouini
云无线电接入网络（C-RAN）通过实现基站（BS）的密集部署并将其连接到中央处理器（CP），有助于克服无线电资源的稀缺性。本文考虑了C-RAN的下行链路，其中云通过有限容量的回程链路连接到BS。我们提出并优化了一种C-RAN传输方案，该方案结合了速率分割、公共消息解码以及波束成形向量设计和聚类。为此，本文优化了一种传输方案，结合速率分裂（RS），公共消息解码（CMD），和集群和协调波束成形。在本文中，我们专注于最大化的加权和速率受到每BS回程容量和发射功率的限制，从而共同确定RS-CMD传输模式，集群的BS服务的私人和公共消息的每个用户，以及每个用户的私人和公共消息的相关联的波束成形向量。本文提出用l_{0}$ -范数松弛技术求解这样一个复杂的非凸优化问题，然后用内凸逼近（伊卡）方法求解，从而得到松弛非凸问题的稳定解。数值结果表明，所提出的方法提供了显着的性能增益相比，传统的干扰缓解技术在C-RAN中，简单地处理干扰噪声（TIN）。
Cloud-radio access networks (C-RAN) help in overcoming the scarcity of radio resources by enabling dense deployment of base-stations (BSs) and connecting them to a central-processor (CP). This paper considers the downlink of a C-RAN, where the cloud is connected to the BSs via limited-capacity backhaul links. We propose and optimize a C-RAN transmission scheme that combines rate splitting, common message decoding, and beamforming vectors design and clustering. To this end, this paper optimizes a transmission scheme that combines rate splitting (RS), common message decoding (CMD), and clustering and coordinated beamforming. In this paper, we focus on maximizing the weighted sum-rate subject to per-BS backhaul capacity and transmit power constraints, so as to jointly determine the RS-CMD mode of transmission, the cluster of BSs serving private and common messages of each user, and the associated beamforming vectors of each user private and common messages. This paper proposes solving such a complicated non-convex optimization problem using $l_{0}$ -norm relaxation techniques, followed by inner-convex approximations (ICA), so as to achieve stationary solutions to the relaxed non-convex problem. The numerical results show that the proposed method provides significant performance gain as compared to conventional interference mitigation techniques in C-RAN which simply treat interference as noise (TIN).