Optimizing training and feedback for spatial intercell interference cancellation

Jun Zhang, Jeffrey G. Andrews, Khaled B. Letaief

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)


In this paper, we investigate spatial intercell interference cancellation - an efficient technique to mitigate intercell interference in multicell networks. We consider a practical model for channel state information (CSI), where the transmit CSI is acquired through downlink training and uplink feedback. Due to the requirement of channel information from multiple base stations, the training and feedback design is quite different from conventional single-cell processing systems. We optimize training and feedback, where both analog and digital feedback is considered. For analog feedback, it is shown that the downlink training optimization provides a more significant performance gain than feedback optimization; while conversely for digital feedback over a finite-rate feedback channel, the feedback bit allocation is more important than the training optimization.

Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
Publication statusPublished - 1 Dec 2011
Externally publishedYes
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: 5 Dec 20119 Dec 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Conference54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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