Joint signal and channel state information compression for uplink network MIMO systems

Jin Kyu Kang, Osvaldo Simeone, Joonhyuk Kang, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In the uplink of network MIMO systems, in order to cope with backhaul capacity limitations, base stations (BSs) must compress the received baseband data signal and the channel state information (CSI) for communication to the central unit (CU). Assuming ergodic fading, an Estimate-Compress-Forward (ECF) approach is investigated, whereby the BSs perform CSI estimation and forward a compressed version of the CSI to the CU. This approach contrasts with the previously studied Compress-Forward-Estimate (CFE) strategy, whereby CSI estimation is performed at the CU, and is motivated by the information-theoretic optimality of separate estimation and compression. Various ECF schemes are proposed that perform either separate or joint compression of estimated CSI and received baseband signal. Via numerical results, it is shown that a proper design of ECF strategies leads to substantial performance gains compared to the CFE approach.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages875-878
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Keywords

  • Compress and forward
  • Distributed compression
  • Imperfect CSI
  • Limited backhaul
  • Uplink network MIMO

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