Adaptive feedback partitions in dynamic zero-forcing beamforming based on stochastic geometry

Jeonghun Park, Robert W. Heath

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

Abstract

In this paper, we analyze the performance of dynamic zero-forcing beamforming with limited feedback and propose adaptive feedback partition strategies. Assuming a cellular network model based on stochastic geometry, we derive analytical expressions for the complementary cumulative distribution function (CCDF) of the instantaneous signal-to-interference ratio (SIR) and the ergodic spectral efficiency as functions of the relevant system parameters: the cluster size, the number of feedback bits, the intra-cluster geometry, and the path-loss exponent. By leveraging these expressions, we propose two feedback partition strategies, each of which is applied for known intra-cluster geometry and unknown intra-cluster geometry, respectively. In the simulations, we verify the accurateness of our analysis and demonstrate the proposed strategies by comparing to the equal feedback partition. Our results show that by adaptively partitioning the feedback bits, the intra-cluster interference is efficiently managed whether the intra-cluster geometry is known or not.

Original languageEnglish
Title of host publication2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024827
DOIs
Publication statusPublished - 2016
Event2016 IEEE Globecom Workshops, GC Wkshps 2016 - Washington, United States
Duration: 2016 Dec 42016 Dec 8

Publication series

Name2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings

Other

Other2016 IEEE Globecom Workshops, GC Wkshps 2016
Country/TerritoryUnited States
CityWashington
Period16/12/416/12/8

Bibliographical note

Funding Information:
This material is based upon work supported in part by the National Science Foundation under Grant No. NSF-CCF-1319556

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Communication
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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