Title
Multi-Cell Interference Exploitation: Enhancing the Power Efficiency in Cell Coordination
Abstract
In this paper, we propose a series of novel coordination schemes for multi-cell downlink communication. Starting from full base station (BS) coordination, we first propose a fully-coordinated scheme to exploit beneficial effects of both inter-cell and intra-cell interference, based on sharing both channel state information (CSI) and data among the BSs. To reduce the coordination overhead, we then propose a partially-coordinated scheme where only intra-cell interference is designed to be constructive while inter-cell is jointly suppressed by the coordinated BSs. Accordingly, the coordination only involves CSI exchange and the need for sharing data is eliminated. To further reduce the coordination overhead, a third scheme is proposed, which only requires the knowledge of statistical inter-cell channels, at the cost of a slight increase on the transmission power. For all the proposed schemes, imperfect CSI is considered. We minimize the total transmission power in terms of probabilistic and deterministic optimizations. Explicitly, the former statistically satisfies the users’ signal-to-interference-plus-noise ratio (SINR) while the latter guarantees the SINR requirements in the worst case CSI uncertainties. Simulation verifies that our schemes consume much lower power compared to the existing benchmarks, i.e., coordinated multi-point (CoMP) and coordinated-beamforming (CBF) systems, opening a new dimension on multi-cell coordination.
Year
DOI
Venue
2020
10.1109/TWC.2019.2946818
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
Optimization,Signal to noise ratio,Throughput,Wireless communication,Probabilistic logic
Electrical efficiency,Computer network,Electronic engineering,Interference (wave propagation),Mathematics
Journal
Volume
Issue
ISSN
19
1
1536-1276
Citations 
PageRank 
References 
7
0.46
0
Authors
4
Name
Order
Citations
PageRank
Zhongxiang Wei1233.71
Christos Masouros2126394.92
Kai-Kit Wong33777281.90
X. Kang4885.92