Citation

Ullah, Yasir and Roslee, Mardeni and Ali, Farman and Ismail, Mohd Azmi and Khan, Adil and Adeoye, Idris Olalekan (2025) DDPG-Enabled UAV-RIS Framework for Improved Urban Mobility and Enhanced Connectivity. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

Text IEEE Xplore Full-Text PDF_44.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

In future wireless networks (FWNs), maintaining seamless connectivity in dense urban scenarios remains a key challenge due to frequent handovers (HOs) and lineof-sight (LoS) blockages. This paper proposes a framework that integrates unmanned aerial vehicles (UAVs) with reconfigurable intelligent surfaces (RIS) to enhance mobility support and overcome these connectivity issues. We introduce a deep-deterministic policy gradient (DDPG)-based approach that jointly optimizes UAV positioning and RIS phase shifts, ensuring improved signal quality and reduced handover failure (HOF). To efficiently manage the mobility of ground users (GUs), a K-means clustering algorithm is employed for user partitioning, based on signal-to-interference-plus-noise ratio (SINR) and location information. The proposed method enables adaptive UAV-RIS deployment that enhances LoS probability and communication reliability while optimizing energy efficiency (EE) and throughput. Simulation results validate the effectiveness of the proposed framework in reducing energy consumption and improving network performance in urban environments

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	UAV Trajectory, UAV-RIS, User Grouping
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 04:30
Last Modified:	18 Mar 2026 04:55
URII:	http://shdl.mmu.edu.my/id/eprint/15535

Downloads

Edit (login required)