Multihop Backhaul Compression for the Uplink of Cloud Radio Access Networks
Seok-Hwan Park, Osvaldo Simeone, Onur Sahin, Shlomo Shamai (Shitz)

TL;DR
This paper explores multihop backhaul compression strategies for uplink C-RANs, proposing in-network processing to improve performance and analyzing the impact of limited channel information.
Contribution
It introduces a decompression and in-network processing scheme for multihop backhaul in C-RANs, enhancing uplink performance over traditional multiplex-and-forward methods.
Findings
In-network processing significantly improves sum-rate performance.
Limited CSI at RUs affects the optimality of the proposed schemes.
Decentralized algorithms effectively optimize backhaul capacity under CSI constraints.
Abstract
In cloud radio access networks (C-RANs), the baseband processing of the radio units (RUs) is migrated to remote control units (CUs). This is made possible by a network of backhaul links that connects RUs and CUs and that carries compressed baseband signals. While prior work has focused mostly on single-hop backhaul networks, this paper investigates efficient backhaul compression strategies for the uplink of C-RANs with a general multihop backhaul topology. A baseline multiplex-and-forward (MF) scheme is first studied in which each RU forwards the bit streams received from the connected RUs without any processing. It is observed that this strategy may cause significant performance degradation in the presence of a dense deployment of RUs with a well connected backhaul network. To obviate this problem, a scheme is proposed in which each RU decompresses the received bit streams and performs…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Full-Duplex Wireless Communications
