Adaptive frequency synchronization for collaborative communication systems

Peter A. Parker, Daniel W. Bliss, Patrick Mitran, Vahid Tarokh

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

7 Scopus citations

Abstract

Cooperative diversity systems are wireless communication systems designed to exploit cooperation among users to mitigate the effects of multipath fading. In fairly general conditions, it has been shown that these systems can achieve the diversity order of an equivalent MISO channel and, if the node geometry permits, virtually the same outage probability is achieved as that of the equivalent MISO channel for a wide range of applicable SNR. However, much of the prior analysis has been performed under the assumption of perfect timing and frequency offset synchronization. In this paper, we derive the estimation bounds and associated maximum likelihood estimators for frequency offset estimation in a cooperative communication system. The cooperative nature of the system is utilized to reduce the estimation error with respect to standard (non-cooperative) frequency estimation algorithms. For a worst case frequency offset distribution among the nodes, we show that this estimator is optimal in the sense of estimation error variance.

Original languageEnglish (US)
Title of host publication27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07
DOIs
StatePublished - Nov 15 2007
Externally publishedYes
Event27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07 - Toronto, ON, Canada
Duration: Jun 22 2007Jun 29 2007

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07
CountryCanada
CityToronto, ON
Period6/22/076/29/07

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Adaptive frequency synchronization for collaborative communication systems'. Together they form a unique fingerprint.

  • Cite this

    Parker, P. A., Bliss, D. W., Mitran, P., & Tarokh, V. (2007). Adaptive frequency synchronization for collaborative communication systems. In 27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07 [4279090] (Proceedings - International Conference on Distributed Computing Systems). https://doi.org/10.1109/ICDCSW.2007.96