Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering

This paper investigates the secrecy outage probability in the downlink with ordered user equipment (UE) based on two ordering metrics. UEs and independently acting eavesdroppers (EDs) are positioned randomly according to a Poisson point process. We consider a transmit antenna selection (TAS) scheme...

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Main Authors: Chen, G, Coon, J
Format: Journal article
Published: Institute of Electrical and Electronics Engineers 2017
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author Chen, G
Coon, J
author_facet Chen, G
Coon, J
author_sort Chen, G
collection OXFORD
description This paper investigates the secrecy outage probability in the downlink with ordered user equipment (UE) based on two ordering metrics. UEs and independently acting eavesdroppers (EDs) are positioned randomly according to a Poisson point process. We consider a transmit antenna selection (TAS) scheme at the base station (BS) to enhance secrecy performance and propose two metrics to order the UEs: one based on long-term average channel gain information from the BS to the UEs, and the other based on instantaneous channel gains. We derive closed form expressions for the secrecy outage probability subject to each of these ordering policies and verify our calculations through Monte Carlo simulations. Our results show that while TAS yields a performance improvement relative to single-antenna systems, the secrecy outage probability for TAS systems actually increases with the path loss exponent. Furthermore, we show that the importance of the specific user ordering policy that is adopted in these systems is reduced for high path loss environments or situations where large numbers of antennas are employed.
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spelling oxford-uuid:8a4a803f-4ae0-4001-a1ee-fce650b718082022-03-26T22:30:35ZSecrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User OrderingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8a4a803f-4ae0-4001-a1ee-fce650b71808Symplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2017Chen, GCoon, JThis paper investigates the secrecy outage probability in the downlink with ordered user equipment (UE) based on two ordering metrics. UEs and independently acting eavesdroppers (EDs) are positioned randomly according to a Poisson point process. We consider a transmit antenna selection (TAS) scheme at the base station (BS) to enhance secrecy performance and propose two metrics to order the UEs: one based on long-term average channel gain information from the BS to the UEs, and the other based on instantaneous channel gains. We derive closed form expressions for the secrecy outage probability subject to each of these ordering policies and verify our calculations through Monte Carlo simulations. Our results show that while TAS yields a performance improvement relative to single-antenna systems, the secrecy outage probability for TAS systems actually increases with the path loss exponent. Furthermore, we show that the importance of the specific user ordering policy that is adopted in these systems is reduced for high path loss environments or situations where large numbers of antennas are employed.
spellingShingle Chen, G
Coon, J
Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title_full Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title_fullStr Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title_full_unstemmed Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title_short Secrecy Outage Analysis in Random Wireless Networks with Antenna Selection and User Ordering
title_sort secrecy outage analysis in random wireless networks with antenna selection and user ordering
work_keys_str_mv AT cheng secrecyoutageanalysisinrandomwirelessnetworkswithantennaselectionanduserordering
AT coonj secrecyoutageanalysisinrandomwirelessnetworkswithantennaselectionanduserordering