Weighted Sum Rate Maximization in Full-Duplex Multi-User Multi-Cell MIMO Networks
Weighted Sum Rate Maximization in Full-Duplex Multi-User Multi-Cell MIMO Networks
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DOI：
10.1109/tcomm.2017.2652475
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发表时间：
2017-01
影响因子：
8.3
通讯作者：
Paula Aquilina;A. Cirik;T. Ratnarajah
中科院分区：
文献类型：
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作者：
Paula Aquilina;A. Cirik;T. Ratnarajah
在本文中，我们重点研究了具有全双工（FD）基站和半双工（HD）下行链路（DL）和上行链路（UL）用户的多用户多小区场景，其中所有节点都配备了多个天线。我们的目标是设计加权和率（WSR）最大化的滤波器，同时考虑到发射机和接收机失真的影响。由于WSR问题是非凸的，我们利用速率和均方误差之间的关系，提出了保证收敛的低复杂度交替优化算法。虽然最初的设计假设了完美的信道状态信息（CSI），但我们也超越了这一假设，并考虑了不完美CSI下的WSR问题。这是通过两种类型的误差模型完成的；第一种是范数有界误差模型，适用于CSI误差由量化问题主导的情况；第二种是随机误差模型，适用于信道估计过程本身发生的误差。结果表明，FD模式下实现的速率高于基线HD方案，并证明了所提出的不完善CSI设计的鲁棒性。此外，我们还将原始的WSR问题扩展为在每个UL用户达到预期目标速率的情况下最大化总DL速率的问题。后一种设计可用于克服潜在的不公平问题，并确保在每个时隙中为所有UL用户提供平等的服务。
In this paper, we focus on a multi-user multi-cell scenario with full-duplex (FD) base-stations and half-duplex (HD) downlink (DL) and uplink (UL) users, where all nodes are equipped with multiple antennas. Our goal is to design filters for weighted sum rate (WSR) maximization whilst taking into consideration the effect of transmitter and receiver distortion. Since WSR problems are non-convex, we exploit the relationship between rate and mean squared error in order to propose low complexity alternating optimization algorithms, which are guaranteed to converge. While the initial design assumes perfect channel state information (CSI), we also move beyond this assumption and consider WSR problems under imperfect CSI. This is done using two types of error models; the first is a norm-bounded error model, suitable for cases where the CSI error is dominated by quantization issues, and the second is a stochastic error model, suitable for errors that occur during the channel estimation process itself. Results show that rates achieved in FD mode are higher than those achieved by the baseline HD schemes and demonstrate the robust performance of the proposed imperfect CSI designs. In addition, we also extend our original WSR problem to one which maximizes the total DL rate subject to each UL user achieving a desired target rate. This latter design can be used to overcome potential unfairness issues and ensure that all UL users are equally served in every time slot.