Constructive interference based secure precoding

Muhammad R. A. Khandaker; Christos Masouros; Kai-Kit Wong

doi:10.1109/ISIT.2017.8007055

Constructive interference based secure precoding

Muhammad R. A. Khandaker, Christos Masouros, Kai-Kit Wong

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

8 Citations (Scopus)

Abstract

Recent advances in interference exploitation showed that exploiting knowledge of interference constructively can improve the receive signal-to-interference and noise ratio (SINR) at the destination. This paper exploits this concept to design artificial noise (AN) beamformers constructive to the intended receiver (IR) yet keeping AN disruptive to possible eavesdroppers (Eves). A multiple-input single-output (MISO) wiretap channel with multiple eavesdroppers scenario has been investigated taking both perfect and imperfect channel information into consideration. The main objective is to improve the receive SINR at the IR through exploitation of AN power in an attempt to minimize the total transmit power, while confusing the Eves.

Original language	English
Title of host publication	2017 IEEE International Symposium on Information Theory (ISIT)
Publisher	IEEE
Pages	2875-2879
Number of pages	5
ISBN (Electronic)	9781509040964
DOIs	https://doi.org/10.1109/ISIT.2017.8007055
Publication status	Published - 15 Aug 2017
Event	2017 IEEE International Symposium on Information Theory - Aachen, Germany Duration: 25 Jun 2017 → 30 Jun 2017

Conference

Conference	2017 IEEE International Symposium on Information Theory
Abbreviated title	ISIT 2017
Country/Territory	Germany
City	Aachen
Period	25/06/17 → 30/06/17

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modelling and Simulation
Applied Mathematics

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10.1109/ISIT.2017.8007055

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title = "Constructive interference based secure precoding",

abstract = "Recent advances in interference exploitation showed that exploiting knowledge of interference constructively can improve the receive signal-to-interference and noise ratio (SINR) at the destination. This paper exploits this concept to design artificial noise (AN) beamformers constructive to the intended receiver (IR) yet keeping AN disruptive to possible eavesdroppers (Eves). A multiple-input single-output (MISO) wiretap channel with multiple eavesdroppers scenario has been investigated taking both perfect and imperfect channel information into consideration. The main objective is to improve the receive SINR at the IR through exploitation of AN power in an attempt to minimize the total transmit power, while confusing the Eves.",

author = "Khandaker, {Muhammad R. A.} and Christos Masouros and Kai-Kit Wong",

year = "2017",

month = aug,

day = "15",

doi = "10.1109/ISIT.2017.8007055",

language = "English",

pages = "2875--2879",

booktitle = "2017 IEEE International Symposium on Information Theory (ISIT)",

publisher = "IEEE",

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note = "2017 IEEE International Symposium on Information Theory, ISIT 2017 ; Conference date: 25-06-2017 Through 30-06-2017",

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T1 - Constructive interference based secure precoding

AU - Khandaker, Muhammad R. A.

AU - Masouros, Christos

AU - Wong, Kai-Kit

PY - 2017/8/15

Y1 - 2017/8/15

N2 - Recent advances in interference exploitation showed that exploiting knowledge of interference constructively can improve the receive signal-to-interference and noise ratio (SINR) at the destination. This paper exploits this concept to design artificial noise (AN) beamformers constructive to the intended receiver (IR) yet keeping AN disruptive to possible eavesdroppers (Eves). A multiple-input single-output (MISO) wiretap channel with multiple eavesdroppers scenario has been investigated taking both perfect and imperfect channel information into consideration. The main objective is to improve the receive SINR at the IR through exploitation of AN power in an attempt to minimize the total transmit power, while confusing the Eves.

AB - Recent advances in interference exploitation showed that exploiting knowledge of interference constructively can improve the receive signal-to-interference and noise ratio (SINR) at the destination. This paper exploits this concept to design artificial noise (AN) beamformers constructive to the intended receiver (IR) yet keeping AN disruptive to possible eavesdroppers (Eves). A multiple-input single-output (MISO) wiretap channel with multiple eavesdroppers scenario has been investigated taking both perfect and imperfect channel information into consideration. The main objective is to improve the receive SINR at the IR through exploitation of AN power in an attempt to minimize the total transmit power, while confusing the Eves.

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DO - 10.1109/ISIT.2017.8007055

M3 - Conference contribution

AN - SCOPUS:85034079104

SP - 2875

EP - 2879

BT - 2017 IEEE International Symposium on Information Theory (ISIT)

PB - IEEE

T2 - 2017 IEEE International Symposium on Information Theory

Y2 - 25 June 2017 through 30 June 2017

ER -

Constructive interference based secure precoding

Abstract

Conference

ASJC Scopus subject areas

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