Citation

Ullah, Nasr and Ali, Farman and Ullah, Yasir and Roslee, Mardeni and Jizat, Noorlindawaty Md. and Wali, Qamar and Ahmad, Shabeer and Ismail, Azmi (2025) UAV-to-Ground Link Optimization Using HHO for Dense Urban Networks. In: 2025 Multimedia University Engineering Conference (MECON), 21-23 July 2025, Cyberjaya, Malaysia.

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Abstract

Unmanned Aerial Vehicles (UAVs) are transforming sectors like surveillance, logistics, and disaster response. However, maintaining reliable UAV-to-Ground (U2G) communication in dense urban networks remains a key challenge due to signal blockages, mobility, and interference. This paper introduces Harris Hawk Optimization (HHO) to enhance U2G connectivity in dense urban networks. Key parameters such as UAV altitude, mobility, and Line-of-Sight (LoS) probability are modeled according to 3GPP urban standards. Advanced machine learning models predict complex channel variations, while HHO optimizes UAV trajectories and communication resources, ensuring robust, energy efficient links under urban interference. Simulation outcomes demonstrate the proposed HHO-based framework, showing significant improvements in throughput, latency reduction, and connection reliability.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Unmanned Aerial Vehicles (UAVs), UAV-to-Ground (U2G) Communication, Harris Hawk Optimization (HHO)
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 Suzilawati Abu Samah
Date Deposited:	17 Mar 2026 03:18
Last Modified:	19 Mar 2026 01:38
URII:	http://shdl.mmu.edu.my/id/eprint/15473

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