
		<paper>
			<loc>https://jjcit.org/paper/283</loc>
			<title>VEGA-360: VIEWPORT-AWARE HIERARCHICAL GROUPED ALLOCATION FOR MULTI-LAYER 360° VIDEO STREAMING</title>
			<doi>10.5455/jjcit.71-1764146706</doi>
			<authors>Phi Dinh Huynh,Nguyen Viet Hung</authors>
			<keywords>VEGA-360,QoE,360-degree video,SHVC encoding,Virtual reality</keywords>
			<views>1010</views>
			<downloads>293</downloads>
			<received_date>26-Nov.-2025</received_date>
			<revised_date>  13-Jan.-2026</revised_date>
			<accepted_date>  16-Jan.-2026</accepted_date>
			<abstract>Delivering multi-layer, tiled 360° video to multiple wireless users is challenging due to limited radio resources, heterogeneous channel conditions and a strong viewport-dependent quality of experience (QoE). To address this problem, we propose Viewport-Enhanced Grouped Allocation for 360° Video (VEGA-360), a hierarchical viewport-aware resource allocation framework for multi-user 360° video streaming. VEGA-360 adopts a two-stage design. On the main stage, VEGA-360 partitions users into a small number of clusters using a joint criterion that combines spectral efficiency and viewport similarity derived from viewport weights and allocates a per-cluster resource budget accordingly. In the fine-tuning phase, VEGA-360 solves independent optimization sub-problems per cluster at the tile granularity, enforcing radio resource and SHVC scalability constraints while maximizing a utility metric that accounts for viewport-weighted visual quality and the transmission overhead caused by distributing multiple tile instances. By separating coarse-grained grouping and budgeting decisions from fine-grained tile-layer allocation, VEGA-360 reduces the size of each optimization instance and improves computational tractability while maintaining viewport-aware service in dense multi-user scenarios. Simulation results show that VEGA-360 achieves competitive utility/QoE compared to a monolithic MILP baseline, with substantially shorter solution times.</abstract>
		</paper>


