Joint base station selection and distributed compression for cloud radio access networks

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

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

8 Scopus citations

Abstract

This work studies joint base station (BS) selection and distributed compression for the uplink of a cloud radio access network. Multiple multi-antenna BSs are connected to a central unit, also referred to as cloud decoder, via capacity-constrained backhaul links. Since the signals received at different BSs are correlated, distributed source coding strategies for communication to the cloud decoder are potentially beneficial. Moreover, reducing the number of active BSs can improve the network energy efficiency, since BS energy consumption provides a major contribution to the overall energy expenditure for the network. An optimization problem is formulated in which compression and BS selection are performed jointly by introducing a sparsity-inducing term into the objective function. An iterative algorithm is proposed. From numerical results, it is observed that the proposed joint BS selection and compression algorithm performs close to the more complex exhaustive search solution.

Original languageEnglish (US)
Title of host publication2012 IEEE Globecom Workshops, GC Wkshps 2012
Pages1134-1138
Number of pages5
DOIs
StatePublished - 2012
Event2012 IEEE Globecom Workshops, GC Wkshps 2012 - Anaheim, CA, United States
Duration: Dec 3 2012Dec 7 2012

Publication series

Name2012 IEEE Globecom Workshops, GC Wkshps 2012

Other

Other2012 IEEE Globecom Workshops, GC Wkshps 2012
Country/TerritoryUnited States
CityAnaheim, CA
Period12/3/1212/7/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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