Schynol, Lukas ; Pesavento, Marius (2023)
Coordinated Sum-Rate Maximization in Multicell MU-MIMO With Deep Unrolling.
In: IEEE Journal on Selected Areas in Communications, 41 (4)
doi: 10.1109/JSAC.2023.3242716
Artikel, Bibliographie
Kurzbeschreibung (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 obtained by the weighted minimum mean squared error (WMMSE) algorithm which facilitates a distributed implementation in multicell networks. However, it often suffers from slow convergence and therefore large communication overhead. To obtain more practical solutions, the unrolling/unfolding of traditional iterative algorithms gained significant attention. In this work, we demonstrate a complete unfolding of the WMMSE algorithm for transceiver design in multicell MU-MIMO interference channels with local channel state information. The resulting architecture termed GCN-WMMSE applies ideas from graph signal processing and is agnostic to different wireless network topologies, while exhibiting a low number of trainable parameters and high efficiency w.r.t. training data. It significantly reduces the number of required iterations while achieving performance similar to the WMMSE algorithm, alleviating the overhead in a distributed deployment. Additionally, we review previous architectures based on unrolling the WMMSE algorithm and compare them to GCN-WMMSE in their specific applicable domains.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Schynol, Lukas ; Pesavento, Marius |
| Art des Eintrags: | Bibliographie |
| Titel: | Coordinated Sum-Rate Maximization in Multicell MU-MIMO With Deep Unrolling |
| Sprache: | Englisch |
| Publikationsjahr: | April 2023 |
| Verlag: | IEEE |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Journal on Selected Areas in Communications |
| Jahrgang/Volume einer Zeitschrift: | 41 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.1109/JSAC.2023.3242716 |
| Kurzbeschreibung (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 obtained by the weighted minimum mean squared error (WMMSE) algorithm which facilitates a distributed implementation in multicell networks. However, it often suffers from slow convergence and therefore large communication overhead. To obtain more practical solutions, the unrolling/unfolding of traditional iterative algorithms gained significant attention. In this work, we demonstrate a complete unfolding of the WMMSE algorithm for transceiver design in multicell MU-MIMO interference channels with local channel state information. The resulting architecture termed GCN-WMMSE applies ideas from graph signal processing and is agnostic to different wireless network topologies, while exhibiting a low number of trainable parameters and high efficiency w.r.t. training data. It significantly reduces the number of required iterations while achieving performance similar to the WMMSE algorithm, alleviating the overhead in a distributed deployment. Additionally, we review previous architectures based on unrolling the WMMSE algorithm and compare them to GCN-WMMSE in their specific applicable domains. |
| Freie Schlagworte: | Signal processing algorithms, Computer architecture, Machine learning algorithms, Downlink, Antenna arrays, Transceivers, Symbols, Deep unrolling, deep unfolding, WMMSE algorithm, coordinated downlink beamforming, multiuser MIMO, multicell network, graph convolutional neural network |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Nachrichtentechnische Systeme |
| Hinterlegungsdatum: | 16 Jan 2025 12:16 |
| Letzte Änderung: | 16 Jan 2025 12:16 |
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