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Computer Science > Information Theory

arXiv:2404.15530 (cs)
[Submitted on 23 Apr 2024 (v1), last revised 22 Oct 2024 (this version, v2)]

Title:Co-existing/Cooperating Multicell Massive MIMO and Cell-Free Massive MIMO Deployments: Heuristic Designs and Performance Analysis

Authors:Stefano Buzzi, Carmen D'Andrea, Li Wang, Ahmet Hasim Gokceoglu, Gunnar Peters
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Abstract:Cell-free massive MIMO (CF-mMIMO) systems represent a deeply investigated evolution from the conventional multicell co-located massive MIMO (MC-mMIMO) network deployments. Anticipating a gradual integration of CF-mMIMO systems alongside pre-existing MC-mMIMO network elements, this paper considers a scenario where both deployments coexist, in order to serve a large number of users using a shared set of frequencies. The investigation explores the impact of this co-existence on the network's downlink performance, considering various degrees of mutual cooperation, precoder selection, and power control strategies. Moreover, to take into account the effect of the proposed cooperation scenarios on the fronthaul links, this paper also provides a fronthaul-aware heuristic association algorithm between users and network elements, which allows the fulfillment of the front-haul requirement on each link. The research is finally completed by extensive simulations, shedding light on the performance outcomes associated with the various levels of cooperation and several solutions delineated in the paper.
Comments: Preprint of a paper accepted on the IEEE Open Journal of the Communications Society
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2404.15530 [cs.IT]
  (or arXiv:2404.15530v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2404.15530
Related DOI: https://doi.org/10.1109/OJCOMS.2024.3465878

Submission history

From: Stefano Buzzi [view email]
[v1] Tue, 23 Apr 2024 21:25:07 UTC (8,579 KB)
[v2] Tue, 22 Oct 2024 18:26:58 UTC (10,378 KB)
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