HyRA: A Hybrid Resource Allocation Framework for RAN Slicing
Mohammad Zangooei, Bo Sun, Noura Limam, Raouf Boutaba

TL;DR
HyRA is a hybrid RAN slicing framework that combines dedicated and shared resources, improving efficiency and maintaining performance isolation, validated through simulations showing significant spectrum savings.
Contribution
Introduces HyRA, a novel hybrid resource allocation framework for RAN slicing that optimizes resource use while ensuring SLA compliance using advanced optimization techniques.
Findings
Achieves 50-75% spectrum savings over baseline methods.
Effectively balances resource efficiency and performance isolation.
Demonstrates robustness across diverse traffic patterns and SLA configurations.
Abstract
The advent of 5G and the emergence of 6G networks demand unprecedented flexibility and efficiency in Radio Access Network (RAN) resource management to satisfy diverse service-level agreements (SLAs). Existing RAN slicing frameworks predominantly rely on per-slice resource reservation, which ensures performance isolation but leads to inefficient utilization, particularly under bursty traffic. We introduce HyRA, a hybrid resource allocation framework for RAN slicing that combines dedicated per-slice allocations with shared resource pooling across slices. HyRA preserves performance isolation while improving resource efficiency by leveraging multiplexing gains in bursty traffic conditions. We formulate this design as a bi-level stochastic optimization problem, where the outer loop determines the dedicated and shared resource budgets and the inner loop performs per-UE scheduling under a…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Advanced MIMO Systems Optimization · Network Traffic and Congestion Control
