Joint Signal and Channel State Information Compression for the Backhaul of Uplink Network MIMO Systems
Jinkyu Kang, Osvaldo Simeone, Joonhyuk Kang, Shlomo Shamai, (Shitz)

TL;DR
This paper investigates efficient compression strategies for uplink network MIMO systems, proposing an Estimate-Compress-Forward approach that improves backhaul capacity utilization and system performance over traditional methods.
Contribution
It introduces an Estimate-Compress-Forward scheme for uplink MIMO systems, optimizing CSI and signal compression, and demonstrates its advantages over existing approaches through numerical analysis.
Findings
ECF strategies outperform CFE in backhaul efficiency
Joint compression of CSI and received signal enhances performance
Semi-coherent schemes reduce backhaul load without CSI transmission
Abstract
In network MIMO cellular systems, subsets of base stations (BSs), or remote radio heads, are connected via backhaul links to central units (CUs) that perform joint encoding in the downlink and joint decoding in the uplink. Focusing on the uplink, an effective solution for the communication between BSs and the corresponding CU on the backhaul links is based on compressing and forwarding the baseband received signal from each BS. In the presence of ergodic fading, communicating the channel state information (CSI) from the BSs to the CU may require a sizable part of the backhaul capacity. In a prior work, this aspect was studied by assuming a Compress-Forward-Estimate (CFE) approach, whereby the BSs compress the training signal and CSI estimation takes place at the CU. In this work, instead, an Estimate-Compress-Forward (ECF) approach is investigated, whereby the BSs perform CSI estimation…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
