Bursty traffic over CDMA: predictive MAI temporal structure, rate control and admission control

  • Authors:

  • Junshan Zhang;Ming Hu;Ness B. Shroff

  • Affiliations:

  • Department of Electrical Engineering, Arizona State University, Tempe, AZ;Department of Electrical Engineering, Arizona State University, Tempe, AZ;School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2003

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Abstract

We study data communications for the downlink in code-division-multiple-access (CDMA) networks. The focus of this paper is to exploit the predictive temporal structure of the multi-access interference (MAI) for adaptive resource allocation, particularly for rate control and admission control. We also investigate the impact of fading and traffic burstiness on the system performance. We first present our result that when the input data traffic corresponds to multiple ON-OFF heavy tailed sources, the MAI process is asymptotically self-similar (with Hurst parameter 1/2 H