Adaptive discrete rate and power transmission for spectrum sharing systems

Mohamed M. Abdallah; Ahmed H. Salem; Mohamed-Slim Alouini; Khalid A. Qaraqe

doi:10.1109/TWC.2012.030512.111035

Adaptive discrete rate and power transmission for spectrum sharing systems

Mohamed M. Abdallah, Ahmed H. Salem, Mohamed-Slim Alouini, Khalid A. Qaraqe

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

15 Scopus citations

Abstract

In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized channel state information (CSI) of the secondary and the secondary-to-primary interference channels available at the secondary transmitter. We consider the problem under the constraints of maximum average interference power levels at the primary receiver. We develop a sub-optimal computationally efficient iterative algorithm for finding the optimal CSI quantizers as well as the discrete power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. We show via analysis and simulations that the proposed algorithm converges for Rayleigh fading channels. Our numerical results give the number of bits required to sufficiently represent the CSI to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI. © 2012 IEEE.

Original language	English (US)
Pages (from-to)	1283-1289
Number of pages	7
Journal	IEEE Transactions on Wireless Communications
Volume	11
Issue number	4
DOIs	https://doi.org/10.1109/TWC.2012.030512.111035
State	Published - Apr 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: A part of this work was accepted to the 2011 Conference on Information Sciences and Systems. This publication was made possible by NPRP grant # [08-152-2-043] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

ASJC Scopus subject areas

Applied Mathematics
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TWC.2012.030512.111035

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@article{23df583bc91b48e8a5c952964b4bda2d,

title = "Adaptive discrete rate and power transmission for spectrum sharing systems",

abstract = "In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized channel state information (CSI) of the secondary and the secondary-to-primary interference channels available at the secondary transmitter. We consider the problem under the constraints of maximum average interference power levels at the primary receiver. We develop a sub-optimal computationally efficient iterative algorithm for finding the optimal CSI quantizers as well as the discrete power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. We show via analysis and simulations that the proposed algorithm converges for Rayleigh fading channels. Our numerical results give the number of bits required to sufficiently represent the CSI to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI. {\textcopyright} 2012 IEEE.",

author = "Abdallah, {Mohamed M.} and Salem, {Ahmed H.} and Mohamed-Slim Alouini and Qaraqe, {Khalid A.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: A part of this work was accepted to the 2011 Conference on Information Sciences and Systems. This publication was made possible by NPRP grant # [08-152-2-043] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.",

year = "2012",

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doi = "10.1109/TWC.2012.030512.111035",

language = "English (US)",

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T1 - Adaptive discrete rate and power transmission for spectrum sharing systems

AU - Abdallah, Mohamed M.

AU - Salem, Ahmed H.

AU - Alouini, Mohamed-Slim

AU - Qaraqe, Khalid A.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: A part of this work was accepted to the 2011 Conference on Information Sciences and Systems. This publication was made possible by NPRP grant # [08-152-2-043] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

PY - 2012/4

Y1 - 2012/4

N2 - In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized channel state information (CSI) of the secondary and the secondary-to-primary interference channels available at the secondary transmitter. We consider the problem under the constraints of maximum average interference power levels at the primary receiver. We develop a sub-optimal computationally efficient iterative algorithm for finding the optimal CSI quantizers as well as the discrete power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. We show via analysis and simulations that the proposed algorithm converges for Rayleigh fading channels. Our numerical results give the number of bits required to sufficiently represent the CSI to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI. © 2012 IEEE.

AB - In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized channel state information (CSI) of the secondary and the secondary-to-primary interference channels available at the secondary transmitter. We consider the problem under the constraints of maximum average interference power levels at the primary receiver. We develop a sub-optimal computationally efficient iterative algorithm for finding the optimal CSI quantizers as well as the discrete power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. We show via analysis and simulations that the proposed algorithm converges for Rayleigh fading channels. Our numerical results give the number of bits required to sufficiently represent the CSI to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI. © 2012 IEEE.

UR - http://hdl.handle.net/10754/562145

UR - http://ieeexplore.ieee.org/document/6166333/

UR - http://www.scopus.com/inward/record.url?scp=84860222422&partnerID=8YFLogxK

U2 - 10.1109/TWC.2012.030512.111035

DO - 10.1109/TWC.2012.030512.111035

M3 - Article

SN - 1536-1276

VL - 11

SP - 1283

EP - 1289

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 4

ER -

Adaptive discrete rate and power transmission for spectrum sharing systems

Abstract

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