Optimal sequences for CDMA under colored noise: A schur-saddle function property

Pramod Viswanath, Venkat Anantharam

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

We consider direct sequence code division multiple access (DS-CDMA), modeling interference from users communicating with neighboring base stations by additive colored noise. We consider two types of receiver structures: first we consider the information-theoretically optimal receiver and use the sum capacity of the channel as our performance measure. Second, we consider the linear minimum mean square error (LMMSE) receiver and use the signal-to-interference ratio (SIR) of the estimate of the symbol transmitted as our performance measure. Our main result is a constructive characterization of the possible performance in both these scenarios. A central contribution of this characterization is the derivation of a qualitative feature of the optimal performance measure in both the scenarios studied. We show that the sum capacity is a saddle function: it is convex in the additive noise covariances and concave in the user received powers. In the linear receiver case, we show that the minimum average power required to meet a set of target performance requirements of the users is a saddle function: it is convex in the additive noise covariances and concave in the set of performance requirements.

Original languageEnglish (US)
Pages (from-to)1295-1318
Number of pages24
JournalIEEE Transactions on Information Theory
Volume48
Issue number6
DOIs
StatePublished - Jun 2002
Externally publishedYes

All Science Journal Classification (ASJC) codes

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

Keywords

  • Code division multiple access (CDMA)
  • Colored noise
  • Optimal sequences
  • Saddle functions
  • Sum capacity

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