Multiuser capacity of cellular time-varying channels

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

7 Scopus citations

Abstract

The next generation of wireless networks will require efficient use of the underlying time-varying channel. Cellular architectures efficiently utilize the limited spectrum by reusing the same channel in spatially separated cells. However, frequency reuse introduces cochannel interference, which determines the data rate that can be supported by each channel for a given BER. The efficiency within a cell is quantified by its spectral efficiency: the data rate per user per unit of bandwidth. In this paper, the maximum spectral efficiency for cellular systems with channel estimation and transmitter feedback is derived from Shannon theory. We first review capacity resultsfor single-user time-varying channels, which show that eficiency is inax-imized through a combination of power control, adaptive coding, and variahle data rates. We then extend this result to the multiuser capacity region for both broadcast and multiaccess channels. 7Ris yieMs an analytical framework to compare the efficiency of channel sharing within a single cell using TDMA, FDMA, and CDMA. We conclude that CDMA with interference cancellation is optimal, but TDMA and FDMA have superior performance if interference cancellation is not exploited. Moreover, i f the received power of all users is kept constant, then CDMA with interference cancellation does no better than FDMA and TDMA.

Original languageEnglish (US)
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages83-88
Number of pages6
ISBN (Electronic)0818664053
DOIs
StatePublished - 1994
Externally publishedYes
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: Oct 31 1994Nov 2 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume1
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
CountryUnited States
CityPacific Grove
Period10/31/9411/2/94

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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