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Convex Scheme for the Secrecy Capacity of a MIMO Wiretap Channel with a Single Antenna Eavesdropper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications (ICC) Proceedings
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)978-1-5386-8088-9
ISBN (Print)978-1-5386-8089-6
DOIs
DateAccepted/In press - 3 Feb 2019
DateE-pub ahead of print (current) - 15 Jul 2019
EventIEEE International Conference on Communications - Shanghai, China
Duration: 20 May 201924 May 2019
Conference number: 53
https://icc2019.ieee-icc.org/

Publication series

NameInstitute of Electrical and Electronic Engineers
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications
Abbreviated titleICC
CountryChina
CityShanghai
Period20/05/1924/05/19
Internet address

Abstract

Security has traditionally been dealt with at layers higher than the physical layer but in the wake of 5G, security at all layers is necessary to deal with the variations in complexity of connected devices. Low power devices may use physical layer security as a solution, while other devices may use physical layer security to complement security at higher layers. One key metric for physical layer security is the secrecy capacity. This is the maximum rate that a system can transmit with perfect secrecy.
Multiple Input Multiple Output (MIMO) and Massive MIMO systems look likely to play a part in 5G, but the secrecy capacity for such systems is not fully understood. For a Gaussian MIMO channel, the secrecy capacity is a non-convex optimisation problem for which a general solution is not available. This paper
presents an optimisation scheme that enables us to determine the secrecy capacity of a MIMO system with a single eavesdrop antenna. It is shown that, for certain parameters, the presented scheme is a concave problem which can therefore be solved efficiently using existing convex optimisation software.

    Research areas

  • convex optimisation, MIMO, secrecy capacity

Event

IEEE International Conference on Communications

Abbreviated titleICC
Conference number53
Duration20 May 201924 May 2019
CityShanghai
CountryChina
Web address (URL)
Degree of recognitionInternational event

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8761316. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 136 KB, PDF document

DOI

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