Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs
In this work, we apply the Deep Deterministic Policy Gradient (DDPG) technique to improve the security of a non-orthogonal multiple access (NOMA) downlink network by enabling use of a reconfigurable intelligent surface (RIS) equipped unmanned aerial vehicles (UAV). Our main objective is to prevent e...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Riau
2024-11-01
|
| Series: | International Journal of Electrical, Energy and Power System Engineering |
| Subjects: | |
| Online Access: | https://ijeepse.id/journal/index.php/ijeepse/article/view/195 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832542418886459392 |
|---|---|
| author | Syed Zain Ul Abideen Abdul Wahid Mian Muhammad Kamal |
| author_facet | Syed Zain Ul Abideen Abdul Wahid Mian Muhammad Kamal |
| author_sort | Syed Zain Ul Abideen |
| collection | DOAJ |
| description | In this work, we apply the Deep Deterministic Policy Gradient (DDPG) technique to improve the security of a non-orthogonal multiple access (NOMA) downlink network by enabling use of a reconfigurable intelligent surface (RIS) equipped unmanned aerial vehicles (UAV). Our main objective is to prevent eavesdroppers from accessing the network while preserving seamless communication for authorized users. The system is made up of a UAV integrated with an RIS which is essential for optimizing signal paths, and a Base Station. Our work aims to maximize secrecy rates for all users under possible eavesdropping scenarios by dynamically adjusting the RIS’s phase shifts and power allocations. This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems. |
| format | Article |
| id | doaj-art-02e7f9700bec4bf5bf5fa3c2afc12123 |
| institution | Kabale University |
| issn | 2654-4644 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Universitas Riau |
| record_format | Article |
| series | International Journal of Electrical, Energy and Power System Engineering |
| spelling | doaj-art-02e7f9700bec4bf5bf5fa3c2afc121232025-02-04T04:33:38ZengUniversitas RiauInternational Journal of Electrical, Energy and Power System Engineering2654-46442024-11-017315817410.31258/ijeepse.7.3.158-174195Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVsSyed Zain Ul Abideen0Abdul Wahid1Mian Muhammad Kamal2College of Computer Science and Technology, Qingdao University, Qingdao 266071, ChinaCollege of Computer Science and Technology, Qingdao University, Qingdao 266071, ChinaSchool of Electronic Science and Engineering, Southeast University, Nanjing, ChinaIn this work, we apply the Deep Deterministic Policy Gradient (DDPG) technique to improve the security of a non-orthogonal multiple access (NOMA) downlink network by enabling use of a reconfigurable intelligent surface (RIS) equipped unmanned aerial vehicles (UAV). Our main objective is to prevent eavesdroppers from accessing the network while preserving seamless communication for authorized users. The system is made up of a UAV integrated with an RIS which is essential for optimizing signal paths, and a Base Station. Our work aims to maximize secrecy rates for all users under possible eavesdropping scenarios by dynamically adjusting the RIS’s phase shifts and power allocations. This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems.https://ijeepse.id/journal/index.php/ijeepse/article/view/195non-orthogonal multiple access, reconfigurable intelligent surface, unmanned aerial vehicles, deep reinforcement learning, deep deterministic policy gradient, physical layer security. |
| spellingShingle | Syed Zain Ul Abideen Abdul Wahid Mian Muhammad Kamal Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs International Journal of Electrical, Energy and Power System Engineering non-orthogonal multiple access, reconfigurable intelligent surface, unmanned aerial vehicles, deep reinforcement learning, deep deterministic policy gradient, physical layer security. |
| title | Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs |
| title_full | Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs |
| title_fullStr | Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs |
| title_full_unstemmed | Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs |
| title_short | Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs |
| title_sort | adaptive security solutions for noma networks the role of ddpg and ris equipped uavs |
| topic | non-orthogonal multiple access, reconfigurable intelligent surface, unmanned aerial vehicles, deep reinforcement learning, deep deterministic policy gradient, physical layer security. |
| url | https://ijeepse.id/journal/index.php/ijeepse/article/view/195 |
| work_keys_str_mv | AT syedzainulabideen adaptivesecuritysolutionsfornomanetworkstheroleofddpgandrisequippeduavs AT abdulwahid adaptivesecuritysolutionsfornomanetworkstheroleofddpgandrisequippeduavs AT mianmuhammadkamal adaptivesecuritysolutionsfornomanetworkstheroleofddpgandrisequippeduavs |