Interference Mitigation Via Rate-Splitting in Cloud Radio Access Networks
Interference Mitigation Via Rate-Splitting in Cloud Radio Access Networks
复制标题
通过云无线接入网络中的速率分割来减轻干扰
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Mohamed
中科院分区：
文献类型：
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作者：
A. Ahmad;H. Dahrouj;Anas Chaaban;A. Sezgin;Mohamed
云无线接入网络（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）来帮助克服无线资源的稀缺性。本文考虑了C-RAN的下行链路，并评估了速率分割（RS）和公共消息解码技术，作为实现大规模干扰管理的一种手段。为此，本文提出了在CP处将每个用户的消息分割成可在一个用户处解码的私有部分和可在用户子集处解码的公共部分，以用于减轻干扰的唯一目的。然后，本文重点是最大化的加权和速率受到回程容量和发射功率的限制，从而确定每个用户的RS模式，以及相关联的波束成形向量。本文提出了解决这样一个复杂的非凸优化问题，使用内凸近似方法，这保证了实现一个固定的解决方案的问题。数值结果表明，所提出的方法提供了显着的增益相比，经典的干扰缓解技术，不依赖于RS和共同的消息解码。
Cloud-radio access networks (C-RAN) help 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, and evaluates rate-splitting (RS) and common-message decoding techniques, as a means to enable large-scale interference management. To this end, the paper proposes splitting the message of each user at the CP into a private part decodable at one user, and a common part decodable at a subset of users for the sole purpose of interference mitigation. The paper then focuses on maximizing the weighted sum-rate subject to backhaul capacity and transmission power constraints, so as to determine the RS mode of each user, and the associated beamforming vectors. The paper proposes solving such a complicated non-convex optimization problem using an inner-convex approximation approach, which guarantees achieving a stationary solution to the problem. Numerical results show that the proposed method provides significant gain compared to classical interference mitigation techniques that do not rely on RS and common message decoding.