2013/12/26 by Seok-Hwan Park, Park, Seok-Hwan, Osvaldo Simeone +6
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1312.7135
openalex publication_date 2013/12/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In cloud radio access networks (C-RANs), the baseband processing of the radio\nunits (RUs) is migrated to remote control units (CUs). This is made possible by\na network of backhaul links that connects RUs and CUs and that carries\ncompressed baseband signals. While prior work has focused mostly on single-hop\nbackhaul networks, this paper investigates efficient backhaul compression\nstrategies for the uplink of C-RANs with a general multihop backhaul topology.\nA baseline multiplex-and-forward (MF) scheme is first studied in which each RU\nforwards the bit streams received from the connected RUs without any\nprocessing. It is observed that this strategy may cause significant performance\ndegradation in the presence of a dense deployment of RUs with a well connected\nbackhaul network. To obviate this problem, a scheme is proposed in which each\nRU decompresses the received bit streams and performs linear in-network\nprocessing of the decompressed signals. For both the MF and the\ndecompress-process-and-recompress (DPR) backhaul schemes, the optimal design is\naddressed with the aim of maximizing the sum-rate under the backhaul capacity\nconstraints. Recognizing the significant demands of the optimal solution of the\nDPR scheme in terms of channel state information (CSI) at the RUs,\ndecentralized optimization algorithms are proposed under the assumption of\nlimited CSI at the RUs. Numerical results are provided to compare the\nperformance of the MF and DPR schemes, highlighting the potential advantage of\nin-network processing and the impact of CSI limitations.\n