A feedback scheme based on iterative group splitting for opportunistic scheduling with adaptive modulation

Haewoon Nam; Gustavo  de Veciana; Mohamed-Slim Alouini

7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

Research Article

A feedback scheme based on iterative group splitting for opportunistic scheduling with adaptive modulation

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/WIOPT.2009.5291599,
    author={Haewoon Nam and Gustavo  de Veciana and Mohamed-Slim Alouini},
    title={A feedback scheme based on iterative group splitting for opportunistic scheduling with adaptive modulation},
    proceedings={7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks},
    publisher={IEEE},
    proceedings_a={WIOPT},
    year={2009},
    month={10},
    keywords={Adaptive scheduling  Cities and towns  Computer science education  Fading  Feedback  Probability  Processor scheduling  Robustness  Statistics  Systems engineering education},
    doi={10.1109/WIOPT.2009.5291599}
}

Haewoon Nam
Gustavo de Veciana
Mohamed-Slim Alouini
Year: 2009
A feedback scheme based on iterative group splitting for opportunistic scheduling with adaptive modulation
WIOPT
IEEE
DOI: 10.1109/WIOPT.2009.5291599

Haewoon Nam¹^,*, Gustavo de Veciana²^,*, Mohamed-Slim Alouini³^,*

1: Mobile Devices Technology Ofﬁce Motorola Inc. Austin, TX 78730, USA
2: Dept. of Electrical and Computer Eng. University of Texas Austin, TX 78712, USA
3: Department of Electrical Engineering Texas A&M University at Qatar Education City, Doha, Qatar

*Contact email: haewoon_nam@ieee.org, gustavo@ece.utexas.edu, alouini@qatar.tamu.edu

Abstract

A feedback scheme based on an iterative group splitting along with an opportunistic scheduling in a time division multiplexed wireless system with adaptive modulation is proposed in this paper. Considering a dynamic behavior of users in joining and leaving the multiuser networks, the proposed scheme does not assume any prior knowledge on users' channel statistics and therefore allows more robust and practical design. During a guard period, the proposed scheme exploits user feedback collisions in order to firstly find the signal-to-noise ratio (SNR) region in the adaptive modulation to which the best user belongs and secondly narrow down the range of user candidates by splitting user groups iteratively. As soon as one of the qualified users, whose channel quality falls into the SNR region for the best user, is found during the procedure, this user is selected by the scheduler and no more searching is pursued. Using an iterative group splitting, it is shown that the proposed scheme achieves a significant reduction in the number of feedbacks and thus scales with a large number of users.

Keywords: Adaptive scheduling Cities and towns Computer science education Fading Feedback Probability Processor scheduling Robustness Statistics Systems engineering education

Published: 2009-10-23
Publisher: IEEE

: http://dx.doi.org/10.1109/WIOPT.2009.5291599