Multihop backhaul compression for the uplink of cloud radio access networks

Seok Hwan Park, Osvaldo Simeone, Onur Sahin, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work investigates efficient backhaul compression strategies for the uplink of cloud radio access networks with a general multihop backhaul topology. In these systems, each radio unit (RU) communicates with the managing control unit (CU) through a set of intermediate RUs. 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. To obviate this problem, a scheme is proposed in which each RU decompresses the received bit streams and performs linear in-network processing of the decompressed signals. For both the MF and the decompress-process-and-recompress (DPR) backhaul schemes, the optimal design is addressed with the aim of maximizing the sum-rate under the backhaul capacity constraints. Based on the analysis, numerical results are provided to compare the performance of the MF and DPR schemes, highlighting the potential advantage of in-network processing.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Information Theory, ISIT 2014
Pages2704-2708
Number of pages5
DOIs
StatePublished - 2014
Event2014 IEEE International Symposium on Information Theory, ISIT 2014 - Honolulu, HI, United States
Duration: 29 Jun 20144 Jul 2014

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Conference

Conference2014 IEEE International Symposium on Information Theory, ISIT 2014
Country/TerritoryUnited States
CityHonolulu, HI
Period29/06/144/07/14

Keywords

  • Cloud radio access network
  • compression
  • in-network processing
  • mesh backhaul
  • multihop backhaul

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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