On the Optimal Detection and Error Performance Analysis of the Hardware Impaired Systems

Sidrah Javed; Osama Amin; Salama S. Ikki; Mohamed-Slim Alouini

doi:10.1109/glocom.2017.8254795

On the Optimal Detection and Error Performance Analysis of the Hardware Impaired Systems

Sidrah Javed, Osama Amin, Salama S. Ikki, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

The conventional minimum Euclidean distance (MED) receiver design is based on the assumption of ideal hardware transceivers and proper Gaussian noise in communication systems. Throughout this study, an accurate statistical model of various hardware impairments (HWIs) is presented. Then, an optimal maximum likelihood (ML) receiver is derived considering the distinct characteristics of the HWIs comprised of additive improper Gaussian noise and signal distortion. Next, the average error probability performance of the proposed optimal ML receiver is analyzed and tight bounds are derived. Finally, different numerical and simulation results are presented to support the superiority of the proposed ML receiver over MED receiver and the tightness of the derived bounds.

Original language	English (US)
Title of host publication	GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-7
Number of pages	7
ISBN (Print)	9781509050192
DOIs	https://doi.org/10.1109/glocom.2017.8254795
State	Published - Jan 15 2018

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KAUST Repository Item: Exported on 2020-10-01

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10.1109/glocom.2017.8254795

https://repository.kaust.edu.sa/bitstream/10754/627294/1/HWI_ErrProb_GCOM_April14_2017%20-%20CameraR.pdf

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title = "On the Optimal Detection and Error Performance Analysis of the Hardware Impaired Systems",

abstract = "The conventional minimum Euclidean distance (MED) receiver design is based on the assumption of ideal hardware transceivers and proper Gaussian noise in communication systems. Throughout this study, an accurate statistical model of various hardware impairments (HWIs) is presented. Then, an optimal maximum likelihood (ML) receiver is derived considering the distinct characteristics of the HWIs comprised of additive improper Gaussian noise and signal distortion. Next, the average error probability performance of the proposed optimal ML receiver is analyzed and tight bounds are derived. Finally, different numerical and simulation results are presented to support the superiority of the proposed ML receiver over MED receiver and the tightness of the derived bounds.",

author = "Sidrah Javed and Osama Amin and Ikki, {Salama S.} and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2018",

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day = "15",

doi = "10.1109/glocom.2017.8254795",

language = "English (US)",

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T1 - On the Optimal Detection and Error Performance Analysis of the Hardware Impaired Systems

AU - Javed, Sidrah

AU - Amin, Osama

AU - Ikki, Salama S.

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2018/1/15

Y1 - 2018/1/15

N2 - The conventional minimum Euclidean distance (MED) receiver design is based on the assumption of ideal hardware transceivers and proper Gaussian noise in communication systems. Throughout this study, an accurate statistical model of various hardware impairments (HWIs) is presented. Then, an optimal maximum likelihood (ML) receiver is derived considering the distinct characteristics of the HWIs comprised of additive improper Gaussian noise and signal distortion. Next, the average error probability performance of the proposed optimal ML receiver is analyzed and tight bounds are derived. Finally, different numerical and simulation results are presented to support the superiority of the proposed ML receiver over MED receiver and the tightness of the derived bounds.

AB - The conventional minimum Euclidean distance (MED) receiver design is based on the assumption of ideal hardware transceivers and proper Gaussian noise in communication systems. Throughout this study, an accurate statistical model of various hardware impairments (HWIs) is presented. Then, an optimal maximum likelihood (ML) receiver is derived considering the distinct characteristics of the HWIs comprised of additive improper Gaussian noise and signal distortion. Next, the average error probability performance of the proposed optimal ML receiver is analyzed and tight bounds are derived. Finally, different numerical and simulation results are presented to support the superiority of the proposed ML receiver over MED receiver and the tightness of the derived bounds.

UR - http://hdl.handle.net/10754/627294

UR - http://ieeexplore.ieee.org/document/8254795/

UR - http://www.scopus.com/inward/record.url?scp=85046423151&partnerID=8YFLogxK

U2 - 10.1109/glocom.2017.8254795

DO - 10.1109/glocom.2017.8254795

M3 - Conference contribution

SN - 9781509050192

SP - 1

EP - 7

BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

On the Optimal Detection and Error Performance Analysis of the Hardware Impaired Systems

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