Secure Communication in Underlay Cognitive Massive MIMO Systems with Pilot Contamination
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this paper, the detrimental effects of intra-cell pilot contamination for physical layer secure communication in cognitive multi-user massive multiple-input multiple-output (MIMO) systems with underlay spectrum sharing are investigated. The channel estimates at the primary base-station (PBS) and secondary base-station are obtained by using non-orthogonal pilot sequences transmitted by the primary user nodes and secondary user nodes, respectively. Hence, these channel estimates are affected by intra-cell pilot contamination. Furthermore, a passive multi-antenna eavesdropper is assumed to be eavesdropping upon either the primary or secondary confidential transmissions. In this context, a physical layer security strategy is provisioned for the primary and secondary transmissions via artificial noise generation at the PBS and zero-forcing precoders. For this system set-up, the average and asymptotic achievable secrecy rate expressions are derived in closed-form, and thereby, the secrecy rate degradation due to intra-cell pilot contamination is quantified. Our analysis reveals that a physical layer secure communication can be provisioned for both primary and secondary massive MIMO systems even with channel estimation errors and pilot contamination.
Details
Original language | English |
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Title of host publication | GLOBECOM 2017 - 2017 IEEE Global Communications Conference |
Place of Publication | Singapore |
Pages | 1-7 |
Number of pages | 7 |
ISBN (electronic) | 978-1-5090-5019-2 |
Publication status | Published - 2017 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | IEEE Conference on Global Communications (GLOBECOM) |
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ISSN | 1930-529X |
Conference
Title | 2017 IEEE Global Communications Conference, GLOBECOM 2017 |
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Duration | 4 - 8 December 2017 |
City | Singapore |
Country | Singapore |
External IDs
ORCID | /0000-0002-1702-9075/work/165878321 |
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