Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents
CoRR(2024)
Abstract
Inter-cell interference (ICI) suppression is critical for multi-cell
multi-user networks. In this paper, we investigate advanced precoding
techniques for coordinated multi-point (CoMP) with downlink coherent joint
transmission, an effective approach for ICI suppression. Different from the
centralized precoding schemes that require frequent information exchange among
the cooperating base stations, we propose a decentralized scheme to minimize
the total power consumption. In particular, based on the covariance matrices of
global channel state information, we estimate the ICI bounds via the
deterministic equivalents and decouple the original design problem into
sub-problems, each of which can be solved in a decentralized manner. To solve
the sub-problems at each base station, we develop a low-complexity solver based
on the alternating direction method of multipliers (ADMM) in conjunction with
the convex-concave procedure (CCCP). Simulation results demonstrate the
effectiveness of our proposed decentralized precoding scheme, which achieves
performance similar to the optimal centralized precoding scheme. Besides, our
proposed ADMM solver can substantially reduce the computational complexity,
while maintaining outstanding performance.
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Key words
Coherent joint transmission,decentralized coordinated precoding,power minimization,deterministic equivalents
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