MIMO broadcast channels with spatial heterogeneity

  • Authors:
  • Illsoo Sohn;Jeffrey G. Andrews;Kwang Bok Lee

  • Affiliations:
  • Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX;Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX;School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea

  • Venue:
  • IEEE Transactions on Wireless Communications
  • Year:
  • 2010

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Abstract

We develop a realistic model for multiple-input multiple-output (MIMO) broadcast channels, where each randomly located user's average SNR depends on its distance from the transmitter. With perfect channel state information at the transmitter (CSIT), the average sum capacity is proven to scale for many users like αM/2 log K instead of M log log K, where α, M, and K denote the path loss exponent, the number of transmit antennas, and the number of users in a cell. With only partial CSIT, the sum capacity at high SNR eventually saturates due to interference, and the saturation value scales for large B like MB/M-1 where B denotes the quantization resolution for channel feedback.