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   Articles with "wmmse" as a keyword



Coordinated Sum-Rate Maximization in Multicell MU-MIMO With Deep Unrolling

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recommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2023.3242716

Abstract: Coordinated weighted sum-rate maximization in multicell MIMO networks with intra- and intercell interference and local channel state at the base stations is recognized as an important yet difficult problem. A classical, locally optimal solution is… read more here.

Keywords: wmmse; maximization multicell; multicell mimo; rate maximization ... See more keywords

A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding

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recommendations! Published in 2025 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2025.3600648

Abstract: Weighted Minimum Mean Square Error (WMMSE) precoding can achieve near-optimal weighted sum rate (WSR) in MU-MIMO-OFDM systems, but it suffers from high computational complexity and severe dependence on accurate channel state information (CSI). This letter… read more here.

Keywords: deep unfolding; driven deep; network; wmmse ... See more keywords

Model-Driven Distributed WMMSE for Downlink Massive MIMO Systems

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recommendations! Published in 2025 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2025.3600415

Abstract: Distributed signal processing based on the decentralized architecture plays an important role in the next generation of wireless communications. In this letter, we propose a model-driven distributed WMMSE algorithm (MDD-WMMSE) for downlink massive MIMO systems.… read more here.

Keywords: distributed wmmse; wmmse downlink; driven distributed; wmmse ... See more keywords

Distributed Multiuser Precoding via Unfolding WMMSE for Multicell MIMO Downlinks

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recommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"

DOI: 10.1109/tccn.2024.3511956

Abstract: Multiuser precoding design in multicell-cooperation multiple-input multiple-output (MU-MIMO) systems is a challenging task due to the inevitable information exchange among cooperative base stations (BSs). Based on the productive deep unfolding technique, this paper proposes a… read more here.

Keywords: multiuser precoding; multicell cooperation; distributed multiuser; usd wmmse ... See more keywords

A Matrix-Inverse-Free Implementation of the MU-MIMO WMMSE Beamforming Algorithm

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recommendations! Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2023.3238275

Abstract: The WMMSE beamforming algorithm is a popular approach to address the NP-hard weighted sum rate (WSR) maximization beamforming problem. Although it efficiently finds a local optimum, it requires matrix inverses, eigendecompositions, and bisection searches, operations… read more here.

Keywords: wmmse; beamforming algorithm; implementation; mimo ... See more keywords

Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?

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recommendations! Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2023.3244104

Abstract: Precoding design for maximizing weighted sum-rate (WSR) is a fundamental problem for downlink of massive multi-user multiple-input multiple-output (MU-MIMO) systems. It is well-known that this problem is generally NP-hard due to the presence of multi-user… read more here.

Keywords: wmmse; number; wmmse complexity; rethinking wmmse ... See more keywords