Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers
In this paper, we study an unmanned aerial vehicle (UAV)-assisted communication system, where the UAV is dispatched to implement simultaneous transmission and reception (STR) in the existence of multiple malicious jammers. Two schemes are investigated, namely frequency band-division-duplex (FDD) and...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | Security and Safety |
| Subjects: | |
| Online Access: | https://sands.edpsciences.org/articles/sands/full_html/2024/01/sands20230022/sands20230022.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849390874737246208 |
|---|---|
| author | Huang Zhiyu Liu Shuzhen Sheng Zhichao Yu Hongwen Masaracchia Antonino |
| author_facet | Huang Zhiyu Liu Shuzhen Sheng Zhichao Yu Hongwen Masaracchia Antonino |
| author_sort | Huang Zhiyu |
| collection | DOAJ |
| description | In this paper, we study an unmanned aerial vehicle (UAV)-assisted communication system, where the UAV is dispatched to implement simultaneous transmission and reception (STR) in the existence of multiple malicious jammers. Two schemes are investigated, namely frequency band-division-duplex (FDD) and time-fraction (TF). Based on the FDD scheme, the UAV can transmit information by using the portion of the bandwidth and receive information within the remaining portion of the bandwidth simultaneously. To perform the STR within the whole bandwidth, the TF-based scheme is considered by using a fraction of a time slot for the downlink, while the remaining fraction of the time slot is allocated for the uplink. We aim to maximize the worst-case throughput by optimizing the UAV three-dimensional (3D) trajectory and resource allocation for each scheme. The optimization problem is non-convex and thus computationally intractable. To handle the nonlinear problem, we use the block coordinate decomposition method to disaggregate the optimization problem into four subproblems and adopt the successive convex approximation technique to tackle non-convex problems. The simulation results demonstrate the performance of the TF-based scheme over the benchmark schemes. |
| format | Article |
| id | doaj-art-cf6a14dca5124f1e92f5c6ae72da2922 |
| institution | Kabale University |
| issn | 2826-1275 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Security and Safety |
| spelling | doaj-art-cf6a14dca5124f1e92f5c6ae72da29222025-08-20T03:41:15ZengEDP SciencesSecurity and Safety2826-12752024-01-013202303110.1051/sands/2023031sands20230022Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammersHuang Zhiyu0https://orcid.org/0009-0000-0687-2385Liu Shuzhen1Sheng Zhichao2Yu Hongwen3Masaracchia Antonino4Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai UniversityKey Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai UniversityKey Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai UniversityKey Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai UniversitySchool of Electronics, Electrical Engineering and Computer Science, Queen’s University BelfastIn this paper, we study an unmanned aerial vehicle (UAV)-assisted communication system, where the UAV is dispatched to implement simultaneous transmission and reception (STR) in the existence of multiple malicious jammers. Two schemes are investigated, namely frequency band-division-duplex (FDD) and time-fraction (TF). Based on the FDD scheme, the UAV can transmit information by using the portion of the bandwidth and receive information within the remaining portion of the bandwidth simultaneously. To perform the STR within the whole bandwidth, the TF-based scheme is considered by using a fraction of a time slot for the downlink, while the remaining fraction of the time slot is allocated for the uplink. We aim to maximize the worst-case throughput by optimizing the UAV three-dimensional (3D) trajectory and resource allocation for each scheme. The optimization problem is non-convex and thus computationally intractable. To handle the nonlinear problem, we use the block coordinate decomposition method to disaggregate the optimization problem into four subproblems and adopt the successive convex approximation technique to tackle non-convex problems. The simulation results demonstrate the performance of the TF-based scheme over the benchmark schemes.https://sands.edpsciences.org/articles/sands/full_html/2024/01/sands20230022/sands20230022.htmlunmanned aerial vehicle (uav)-assisted communicationsimultaneous transmission and reception (str)throughput optimizationnon-convex optimization |
| spellingShingle | Huang Zhiyu Liu Shuzhen Sheng Zhichao Yu Hongwen Masaracchia Antonino Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers Security and Safety unmanned aerial vehicle (uav)-assisted communication simultaneous transmission and reception (str) throughput optimization non-convex optimization |
| title | Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| title_full | Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| title_fullStr | Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| title_full_unstemmed | Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| title_short | Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| title_sort | optimization for uav assisted simultaneous transmission and reception communications in the existence of malicious jammers |
| topic | unmanned aerial vehicle (uav)-assisted communication simultaneous transmission and reception (str) throughput optimization non-convex optimization |
| url | https://sands.edpsciences.org/articles/sands/full_html/2024/01/sands20230022/sands20230022.html |
| work_keys_str_mv | AT huangzhiyu optimizationforuavassistedsimultaneoustransmissionandreceptioncommunicationsintheexistenceofmaliciousjammers AT liushuzhen optimizationforuavassistedsimultaneoustransmissionandreceptioncommunicationsintheexistenceofmaliciousjammers AT shengzhichao optimizationforuavassistedsimultaneoustransmissionandreceptioncommunicationsintheexistenceofmaliciousjammers AT yuhongwen optimizationforuavassistedsimultaneoustransmissionandreceptioncommunicationsintheexistenceofmaliciousjammers AT masaracchiaantonino optimizationforuavassistedsimultaneoustransmissionandreceptioncommunicationsintheexistenceofmaliciousjammers |