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Optimum Throughput Constrained Opportunistic Scheduling in Cellular Data Networks

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3 Author(s)
Syed Hussain Ali ; Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada V6T 1Z4. Email: ; Ki-dong Lee ; Victor C. m. Leung

This paper considers the problem of scheduling multiple users in the downlink of a time-slotted cellular data network. For such a network, opportunistic scheduling algorithms exploit the time-varying radio channel and improve the system performance. This paper introduces a new optimum scheduling algorithm that maximizes the sum of average user performance subject to certain minimum and maximum performance constraints. The proposed algorithm, which is named as throughput constrained opportunistic scheduling (TCOS), is an extension of the framework proposed by Liu et al. For memory less fading channels, TCOS performs identically to another optimum algorithm. For fading channels with memory, TCOS significantly improves system performance. The TCOS with the minimum and maximum performance constraints offers better service differentiation among different classes of users than opportunistic scheduling algorithm provides with only minimum performance constraints

Published in:

2006 IEEE International Symposium on Signal Processing and Information Technology

Date of Conference:

Aug. 2006