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Multiuser distortion management of layered video over resource limited downlink multicode-CDMA

  • Zhu Han
  • , Guan Ming Su
  • , Andres Kwasinski
  • , Min Wu
  • , K. J.Ray Liu

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Transmitting multiple real-time encoded videos to multiple users over wireless cellular networks is a key driving force for developing broadband technology. We propose a new framework to transmit multiple users' video programs encoded by MPEG-4 FGS codec over downlink multicode CDMA networks in real time. The proposed framework jointly manages the rate adaptation of source and channel coding, CDMA code allocation, and power control. Subject to the limited system resources, such as the number of pseudo-random codes and the maximal power for CDMA transmission, we develop an adaptive scheme of distortion management to ensure baseline video quality for each user and further reduce the overall distortion received by all users. To efficiently utilize system resources, the proposed scheme maintains a balanced ratio between the power and code usages. We also investigate three special scenarios where demand, power, or code is limited, respectively. Compared with existing methods in the literature, the proposed algorithm can reduce the overall system's distortion by 14% to 26%. In the demand-limited case and the code-limited but power-unlimited case, the proposed scheme achieves the optimal solutions. In the power-limited but code-unlimited case, the proposed scheme has a performance very close to a performance upper bound.

Original languageEnglish
Pages (from-to)3056-3067
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume5
Issue number11
DOIs
Publication statusPublished - Nov 2006

Bibliographical note

Funding Information:
Manuscript received October 12, 2004; revised October 25, 2005; accepted January 12, 2006. The associate editor coordinating the review of this paper and approving it for publication was R. Fantacci. This work is partially supported by MURI AFOSR F496200210217 and the U.S. National Science Foundation under Award #CCR-0133704.

Keywords

  • Adaptive coding
  • Code division multiaccess
  • Land mobile radio cellular systems
  • Multimedia communication
  • Resource management

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