Adaptive spatial intercell interference cancellation in multicell wireless networks

Jun Zhang, J.G. Andrews

Research output: Journal article publicationJournal articleAcademic researchpeer-review

213 Citations (Scopus)


Downlink spatial intercell interference cancellation (ICIC) is considered for mitigating other-cell interference using multiple transmit antennas. A principle question we explore is whether it is better to do ICIC or simply standard single-cell beamforming. We explore this question analytically and show that beamforming is preferred for all users when the edge SNR (signal-to-noise ratio) is low (0 dB), and ICIC is preferred when the edge SNR is high (10 dB), for example in an urban setting. At medium SNR, a proposed adaptive strategy, where multiple base stations jointly select transmission strategies based on the user location, outperforms both while requiring a lower feedback rate than the pure ICIC approach. The employed metric is sum rate, which is normally a dubious metric for cellular systems, but surprisingly we show that even with this reward function the adaptive strategy also improves fairness. When the channel information is provided by limited feedback, the impact of the induced quantization error is also investigated. The analysis provides insights on the feedback design, and it is shown that ICIC with well-designed feedback strategies still provides significant throughput gain. © 2006 IEEE.
Original languageEnglish
Article number5594699
Pages (from-to)1455-1468
Number of pages14
JournalIEEE Journal on Selected Areas in Communications
Issue number9
Publication statusPublished - 1 Dec 2010
Externally publishedYes


  • base station coordination
  • Cellular network
  • interference cancellation
  • limited feedback
  • other-cell interference

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptive spatial intercell interference cancellation in multicell wireless networks'. Together they form a unique fingerprint.

Cite this