2021 IEEE Global Communications Conference (GLOBECOM) 2021
DOI: 10.1109/globecom46510.2021.9685041
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Non-Coherent Fast-Forward Relays for Full-Duplex Jamming Attack

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Cited by 5 publications
(6 citation statements)
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“…In the countermeasure contributed by [15]- [17], it is assumed that the processing delay at the helper in forwarding the victim's symbols is negligible. Thus, the victim's symbols and the multiplexed symbols from the helper reach the destination during the same symbol interval.…”
Section: A Motivationmentioning
confidence: 99%
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“…In the countermeasure contributed by [15]- [17], it is assumed that the processing delay at the helper in forwarding the victim's symbols is negligible. Thus, the victim's symbols and the multiplexed symbols from the helper reach the destination during the same symbol interval.…”
Section: A Motivationmentioning
confidence: 99%
“…However, when using practical FD radios, the forwarding process may not be instantaneous, and the processing delay at the helper can be of the order of several symbol durations. In such cases, the symbols on the two links reach the destination during different symbol intervals, thereby yieliding a signal model different from that of [15]- [17]. Moreover, if the helper decides to use multiple receive-antennas to improve the diversity order, the processing delay further increases due to additional delay contributed by the self-interfernce cancellation (SIC) blocks of the FD radios [20].…”
Section: A Motivationmentioning
confidence: 99%
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“…1. Some preliminary results on the NC-FFFD scheme have been presented by us in [1], where we compute the optimal energy levels at the victim and the helper for M = 2. In addition, the results of this work are generalisable for M ≥ 2.…”
Section: B Related Work and Noveltymentioning
confidence: 99%
“…8, we show the improvement in Alice's performance when using NC-FFFD relaying scheme. In terms of feasibility of implementation, the complexity analysis of TLGD algorithm has been discussed in the conference proceedings of this work [1].…”
Section: ) Two-layer Greedy Descent (Tlgd) Algorithmmentioning
confidence: 99%