A Suboptimal Scheme for Multi-User Scheduling in Gaussian Broadcast Channels

Ammar Zafar; Mohammad Shaqfeh; Mohamed-Slim Alouini; Hussein Alnuweiri

doi:10.1109/LSP.2014.2350776

A Suboptimal Scheme for Multi-User Scheduling in Gaussian Broadcast Channels

Ammar Zafar, Mohammad Shaqfeh, Mohamed-Slim Alouini, Hussein Alnuweiri

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This work proposes a suboptimal multi-user scheduling scheme for Gaussian broadcast channels which improves upon the classical single user selection, while considerably reducing complexity as compared to the optimal superposition coding with successful interference cancellation. The proposed scheme combines the two users with the maximum weighted instantaneous rate using superposition coding. The instantaneous rate and power allocation are derived in closed-form, while the long term rate of each user is derived in integral form for all channel distributions. Numerical results are then provided to characterize the prospected gains of the proposed scheme.

Original language	English (US)
Pages (from-to)	136-140
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	22
Issue number	2
DOIs	https://doi.org/10.1109/LSP.2014.2350776
State	Published - Feb 2015

ASJC Scopus subject areas

Signal Processing
Applied Mathematics
Electrical and Electronic Engineering

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10.1109/LSP.2014.2350776

https://repository.kaust.edu.sa/bitstream/10754/317597/1/document.pdf

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title = "A Suboptimal Scheme for Multi-User Scheduling in Gaussian Broadcast Channels",

abstract = "This work proposes a suboptimal multi-user scheduling scheme for Gaussian broadcast channels which improves upon the classical single user selection, while considerably reducing complexity as compared to the optimal superposition coding with successful interference cancellation. The proposed scheme combines the two users with the maximum weighted instantaneous rate using superposition coding. The instantaneous rate and power allocation are derived in closed-form, while the long term rate of each user is derived in integral form for all channel distributions. Numerical results are then provided to characterize the prospected gains of the proposed scheme.",

author = "Ammar Zafar and Mohammad Shaqfeh and Mohamed-Slim Alouini and Hussein Alnuweiri",

note = "KAUST Repository Item: Exported on 2021-09-14 Acknowledgements: This work was supported by YSREP Grant 2-011-2-002 from the Qatar National Research Fund (a member of Qatar Foundation). The work of A. Zafar was supported in part by the King Abdullah University of Science and Technology (KAUST). The work of M.-S. Alouini was supported by KAUST. The statements made herein are solely the responsibility of the authors.",

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N1 - KAUST Repository Item: Exported on 2021-09-14 Acknowledgements: This work was supported by YSREP Grant 2-011-2-002 from the Qatar National Research Fund (a member of Qatar Foundation). The work of A. Zafar was supported in part by the King Abdullah University of Science and Technology (KAUST). The work of M.-S. Alouini was supported by KAUST. The statements made herein are solely the responsibility of the authors.

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N2 - This work proposes a suboptimal multi-user scheduling scheme for Gaussian broadcast channels which improves upon the classical single user selection, while considerably reducing complexity as compared to the optimal superposition coding with successful interference cancellation. The proposed scheme combines the two users with the maximum weighted instantaneous rate using superposition coding. The instantaneous rate and power allocation are derived in closed-form, while the long term rate of each user is derived in integral form for all channel distributions. Numerical results are then provided to characterize the prospected gains of the proposed scheme.

AB - This work proposes a suboptimal multi-user scheduling scheme for Gaussian broadcast channels which improves upon the classical single user selection, while considerably reducing complexity as compared to the optimal superposition coding with successful interference cancellation. The proposed scheme combines the two users with the maximum weighted instantaneous rate using superposition coding. The instantaneous rate and power allocation are derived in closed-form, while the long term rate of each user is derived in integral form for all channel distributions. Numerical results are then provided to characterize the prospected gains of the proposed scheme.

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A Suboptimal Scheme for Multi-User Scheduling in Gaussian Broadcast Channels

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