Spectral efficiency of distributed antenna network using MIMO spatial multiplexing

Shinya Kumagai, Ryusuke Matsukawa, Tatsunori Obara, Tetsuya Yamamoto, Fumiyuki Adachi

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

9 Citations (Scopus)


Multiple-input multiple-output (MIMO) spatial multiplexing is known to increase the transmission rate without bandwidth expansion. However, in cellular networks (CNs), the transmission rate of a user close to the cell edge significantly degrades because the received signal-to-interference plus noise power ratio (SINR) degrades due to the presence of strong co-channel interference (CCI) from neighboring cells. Distributed antenna network (DAN), in which many antennas are spatially distributed over the cell, is suitable for MIMO spatial multiplexing because the received SINR improves over the entire cell. In this paper, assuming block transmission with cyclic prefix (CP) insertion, we theoretically derive an expression for the downlink spectral efficiency of DAN-MIMO spatial multiplexing in a multi-cell environment. Then, we propose the optimal and suboptimal transmit power allocation schemes for DAN-MIMO spatial multiplexing. We evaluate the spectral efficiency distribution by Monte Carlo numerical computation method to show that DAN allows single frequency reuse and achieves higher spectral efficiency compared to CN.

Original languageEnglish
Title of host publication2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
Publication statusPublished - 2012
Externally publishedYes
Event76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada
Duration: 2012 Sep 32012 Sep 6

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other76th IEEE Vehicular Technology Conference, VTC Fall 2012
CityQuebec City, QC


  • Distributed antenna
  • Frequency-selective channel
  • MIMO spatial multiplexing
  • Multi-cell environment
  • Spectral efficicency

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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