Mixed Coherent and Non-Coherent Transmission for Multi-CPU Cell-Free Systems
Roberto P. Antonioli, Iran M. Braga Jr., Gabor Fodor, Yuri C. B. Silva, and Walter C. Freitas Jr

TL;DR
This paper introduces a mixed transmission scheme for multi-CPU cell-free systems that combines coherent and non-coherent transmissions based on synchronization capabilities, improving scalability and performance.
Contribution
It proposes a novel mixed transmission strategy and extends clustering algorithms to enhance multi-CPU cell-free system performance under realistic synchronization constraints.
Findings
Mixed transmission performs close to ideal coherent transmission.
Extensions of clustering algorithms improve system scalability.
Simulation results validate the effectiveness of the proposed approach.
Abstract
Existing works on cell-free systems consider either coherent or non-coherent downlink data transmission and a network deployment with a single central processing unit (CPU). While it is known that coherent transmission outperforms noncoherent transmission when assuming unlimited fronthaul links, the former requires a perfect timing synchronization, which is practically not viable over a large network. Furthermore, relying on a single CPU for geographically large cell-free networks is not scalable. Thus, to realize the expected gains of cellfree systems in practice, alternative transmission strategies for realistic multi-CPU cell-free systems are required. Therefore, this paper proposes a novel downlink data transmission scheme that combines and generalizes the existing coherent and non-coherent transmissions. The proposed transmission scheme, named mixed transmission, works based on the…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Cellular Automata and Applications
