Adaptive modulation scheme for simultaneous voice and data transmission over fading channels

Mohamed Slim Alouini*, Xiaoyi Tang, Andrea Goldsmith

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

We propose a new adaptive modulation technique for simultaneous voice and data transmission over fading channels, and study its performance. The proposed scheme takes advantage of the time-varying nature of fading to dynamically allocate the transmitted power between the inphase (I) and quadrature (Q) channels. It uses fixed-rate binary phase shift keying (BPSK) modulation on the Q channel for voice, and variable-rate M-ary amplitude modulation (M-AM) on the I channel for data. For favorable channel conditions most of the power is allocated to high rate data transmission on the I channel. The remaining power is used to support the variable-power voice transmission on the Q channel. As the channel degrades the modulation gradually reduces its data throughput and reallocates most of its available power to insure a continuous and satisfactory voice transmission. The scheme is intended to provide a high average spectral efficiency for data communications while meeting the stringent delay requirements imposed by voice. We present closed-form expressions as well as numerical and simulation results for the outage probability, average allocated power, achievable spectral efficiency, and average bit-error-rate for both voice and data transmission over Nakagami-m fading channels. We also discuss the features and advantages of the proposed scheme.

Original languageEnglish (US)
Pages (from-to)939-942
Number of pages4
JournalIEEE Vehicular Technology Conference
Volume2
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 2 (of 3) - Ottawa, Can
Duration: May 18 1998May 21 1998

ASJC Scopus subject areas

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

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