Transmitter Selection for Secrecy Against Colluding Eavesdroppers with Backhaul Uncertainty
Burhan Wafai, Ankit Dubey, and Chinmoy Kundu

TL;DR
This paper introduces generalized secrecy analysis methods for multi-transmitter systems with backhaul uncertainty and colluding eavesdroppers, deriving ESR expressions and highlighting the benefits of backhaul activity knowledge.
Contribution
It proposes new transmitter selection schemes and a unified secrecy analysis framework applicable to both backhaul knowledge scenarios, enabling ESR evaluation.
Findings
Secrecy performance improves with backhaul activity knowledge.
Performance degrades as the number of eavesdroppers increases.
Asymptotic expressions reveal system parameter influences.
Abstract
Due to the exponential growth of interconnected devices and reduced cell coverage, beyond fifth-generation networks will be dense. Thus, instead of wired backhaul, wireless backhaul will be cost-effective and flexible. For security in multi-transmitter systems, sub-optimal and optimal transmitter selection schemes exist. However, including backhaul activity knowledge available (BKA) and backhaul activity knowledge unavailable (BKU) cases and transmitter selection schemes, there is no generalized secrecy analysis method. Moreover, evaluation of the ergodic secrecy rate (ESR) of the optimal selection schemes is impossible using existing solution approaches. To address these, we propose two sub-optimal and optimal transmitter selection schemes for a small-cell multi-transmitter system in BKU or BKA cases in the presence of multiple colluding eavesdroppers. We derive the distribution of the…
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Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding
