Multi-cell MIMO downlink with cell cooperation and fair scheduling: A large-system limit analysis

Hoon Huh, Sung Hyun Moon, Young Tae Kim, Inkyu Lee, Giuseppe Caire

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

We consider the downlink of a cellular network with multiple cells and multi-antenna base stations. Our model includes distance-dependent pathloss, arbitrary clusters of cooperating cells, and general "fairness" requirements. Beyond Monte Carlo simulation, no efficient computation method to evaluate the ergodic throughput of such systems has been presented, yet. Furthermore, for systems of practical size with tens of cells and hundreds of users per cell, even simulation becomes challenging. We develop an analytic framework based on the combination of results from large random matrix theory and convex optimization. This allows computationally efficient calculation of the system performance in the so-called "large system limit", i.e., in the limit of a large number of antennas per base station and a large number of users per cell, while the ratio of antennas per user is kept constant. In particular, the system ergodic throughput, subject to per-base station power constraints and to general fairness criteria, is obtained via the iterative solution of a system of fixed-point equations. Comparisons with finite-dimensional simulation results show that the large-system analysis provides remarkably accurate approximations for the actual finite-dimensional systems, even for a small number of users and base station antennas.

Original languageEnglish
Article number6094252
Pages (from-to)7771-7786
Number of pages16
JournalIEEE Transactions on Information Theory
Volume57
Issue number12
DOIs
Publication statusPublished - 2011 Dec 1

Keywords

  • Asymptotic analysis
  • fairness scheduling
  • inter-cell cooperation
  • large-system limit
  • multicell MIMO downlink
  • weighted sum rate maximization

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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