Cross-layer scheduling with prescribed QoS guarantees in adaptive wireless networks

Qingwen Liu, Shengli Zhou, Georgios B Giannakis

Research output: Contribution to journalArticlepeer-review

119 Scopus citations


Providing guaranteed quality-of-service (QoS) for multimedia applications over wireless fading channels is challenging. To this end, we develop a cross-layer design for multiuser scheduling at the data link layer, with each user employing adaptive modulation and coding (AMC) at the physical layer. By classifying users into: QoS-guaranteed and best-effort users, the proposed scheduler enables prescribed QoS guarantees and efficient bandwidth utilization simultaneously. Furthermore, our cross-layer scheduler enjoys low-complexity implementation and analysis, provides service isolation and scalability, decouples delay from dynamically-scheduled bandwidth, and is backward compatible with existing separate-layer designs. Accuracy of the performance analysis is verified by simulations and pertinent robustness issues are briefly discussed. Numerical examples illustrate the steady-state statistical performance for a single and multiple users, as well as the asymptotic behavior for a large number of users.

Original languageEnglish (US)
Pages (from-to)1056-1065
Number of pages10
JournalIEEE Journal on Selected Areas in Communications
Issue number5
StatePublished - May 2005

Bibliographical note

Funding Information:
Manuscript received April 1, 2004; revised December 28, 2004. The work of Q. Liu and G. B. Giannakis was supported in part by the Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The work of S. Zhou was supported in part by University of Connecticut Research Foundation internal Grant 445157. This paper was presented in part at the GLOBECOM Conference, Dallas, TX, November 29–December 3, 2004.


  • Adaptive modulation and coding (AMC)
  • Admission control
  • Cross-layer design
  • Quality-of-service (QoS)
  • Scheduling
  • Wireless networks


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