Sum-rate analysis of general OFDM downlink channels with 1-bit feedback per sub-carrier

Oren Somekh, Osvaldo Simeone, Alexander M. Haimovich, Yeheskel Bar-Ness

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

9 Scopus citations

Abstract

The ergodic sum-rate capacity of a single-input single-output (SISO) OFDM downlink channel, with K homogenous users scales as log log K when optimal scheduling is employed under certain conditions. However, the optimal scheduling requires that the full channel state information (CSI) for all users be available to the transmitter utilizing valuable bandwidth resources. In [1], the authors show that almost the same capacity growth holds even if the feedback rate from the users to the transmitter is reduced to 1-bit per sub-carrier per fading block for a limited class of channels. In this work, we present an alternative simple analysis for a more general class of channels resulting in a closed form expression for the ergodic achievable sum-rate. The mechanism of setting sub-optimal thresholds for the 1-bit quantizers is elucidated by simple lower bound to the sum-rate. Setting these sub-optimal thresholds ensures the same growth rate and non-interference limited behavior (at high-SNR regime) as that of the full-CSI scheme asymptotically with K.

Original languageEnglish (US)
Title of host publication2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages306-311
Number of pages6
ISBN (Print)1424403502, 9781424403509
DOIs
StatePublished - Jan 1 2006
Event2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States
Duration: Mar 22 2006Mar 24 2006

Publication series

Name2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Other

Other2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
Country/TerritoryUnited States
CityPrinceton, NJ
Period3/22/063/24/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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