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Maximizing the secrecy energy efficiency of the cooperative rate-splitting aided downlink in multi-carrier UAV networks

Maximizing the secrecy energy efficiency of the cooperative rate-splitting aided downlink in multi-carrier UAV networks
Maximizing the secrecy energy efficiency of the cooperative rate-splitting aided downlink in multi-carrier UAV networks
Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting the eavesdropper's location, their limited energy motivates our research to propose a secure and energy efficient scheme. Thanks to the common-message philosophy introduced by Rate-Splitting (RS), we no longer have to allocate a portion of the transmit power to radiate Artificial Noise (AN), and yet both the Energy Efficiency (EE) and secrecy can be improved. Hence we define and study the Secrecy Energy Efficiency (SEE) of a multi-carrier multi-UAV network, in which Cooperative Rate-Splitting (CRS) is employed by each multi-antenna UAV Base-Station (UAV-BS) for protecting their downlink transmissions against an external eavesdropper (Eve). Furthermore, we consider the challenging scenario in which CRS is employed by each multi-antenna UAV-BS to protect their corresponding downlink transmissions against an external Eve. We further consider a difficult scenario in terms of security in which only imperfect channel state information of Eve is available at the Tx. Accordingly, we conceive a robust secure resource allocation algorithm, which maximizes the SEE by jointly optimizing both the user association matrix and the network parameter allocation problem, including the RS precoders, time slot sharing and power allocation. Due to the non-convexity of the problem, it is decoupled into a pair of convex sub-problems. Firstly, new two-tier intra-cell optimization problems are formulated for achieving ξ-optimal solutions by iterative block coordinate decent programming. Then, the power of each sub-channel is optimized by formulating the associated power control problem. Simulation results confirm that the scheme conceived enhances both the secrecy and energy efficiency of the system compared to the existing cooperative non-orthogonal benchmarks.
0018-9545
Bastami, Hamed
5d100a5b-7ae9-43e6-a25b-8e0c5c331903
Moradikia, Majid
2a95a978-91ac-4004-b772-6ea761a03906
Abdelhadi, Ahmed
430478ff-e8f2-4c95-a0d4-f0482fb7a7f2
Behroozi, Hamid
ce71a8d4-f34f-4007-ae71-cdde7f6da0cb
Clerckx, Bruno
3f83190f-c8a4-447c-ab89-3f1e1df43ac1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Bastami, Hamed
5d100a5b-7ae9-43e6-a25b-8e0c5c331903
Moradikia, Majid
2a95a978-91ac-4004-b772-6ea761a03906
Abdelhadi, Ahmed
430478ff-e8f2-4c95-a0d4-f0482fb7a7f2
Behroozi, Hamid
ce71a8d4-f34f-4007-ae71-cdde7f6da0cb
Clerckx, Bruno
3f83190f-c8a4-447c-ab89-3f1e1df43ac1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Bastami, Hamed, Moradikia, Majid, Abdelhadi, Ahmed, Behroozi, Hamid, Clerckx, Bruno and Hanzo, Lajos (2022) Maximizing the secrecy energy efficiency of the cooperative rate-splitting aided downlink in multi-carrier UAV networks. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2022.3192298).

Record type: Article

Abstract

Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting the eavesdropper's location, their limited energy motivates our research to propose a secure and energy efficient scheme. Thanks to the common-message philosophy introduced by Rate-Splitting (RS), we no longer have to allocate a portion of the transmit power to radiate Artificial Noise (AN), and yet both the Energy Efficiency (EE) and secrecy can be improved. Hence we define and study the Secrecy Energy Efficiency (SEE) of a multi-carrier multi-UAV network, in which Cooperative Rate-Splitting (CRS) is employed by each multi-antenna UAV Base-Station (UAV-BS) for protecting their downlink transmissions against an external eavesdropper (Eve). Furthermore, we consider the challenging scenario in which CRS is employed by each multi-antenna UAV-BS to protect their corresponding downlink transmissions against an external Eve. We further consider a difficult scenario in terms of security in which only imperfect channel state information of Eve is available at the Tx. Accordingly, we conceive a robust secure resource allocation algorithm, which maximizes the SEE by jointly optimizing both the user association matrix and the network parameter allocation problem, including the RS precoders, time slot sharing and power allocation. Due to the non-convexity of the problem, it is decoupled into a pair of convex sub-problems. Firstly, new two-tier intra-cell optimization problems are formulated for achieving ξ-optimal solutions by iterative block coordinate decent programming. Then, the power of each sub-channel is optimized by formulating the associated power control problem. Simulation results confirm that the scheme conceived enhances both the secrecy and energy efficiency of the system compared to the existing cooperative non-orthogonal benchmarks.

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Accepted/In Press date: 14 July 2022
e-pub ahead of print date: 19 July 2022

Identifiers

Local EPrints ID: 468522
URI: http://eprints.soton.ac.uk/id/eprint/468522
ISSN: 0018-9545
PURE UUID: 55cf8c36-f043-4f5f-8c8c-2437de78f295
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 17 Aug 2022 16:31
Last modified: 18 Aug 2022 01:32

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Contributors

Author: Hamed Bastami
Author: Majid Moradikia
Author: Ahmed Abdelhadi
Author: Hamid Behroozi
Author: Bruno Clerckx
Author: Lajos Hanzo ORCID iD

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