Utility-Based Opportunistic Scheduling Under Multi-Connectivity With Limited Backhaul Capacity

Konstantinos Alexandris (1) , Chia-Yu Chang (1) , Navid Nikaein (1)

1 Eurecom [Sophia Antipolis]

Multi-connectivity is a 5G key enabler to fulfill multi-service quality-of-service (QoS) requirements. This work examines an opportunistic resource allocation problem under multi-connectivity and limited backhaul capacity in evolved LTE using two utility functions: proportional fairness (PF) and utility proportional fairness (UPF). We then propose an efficient algorithm to deal with the formulated NP-hard problem. Such algorithm guarantees to produce a solution with an explicit bound on the optimal solution. Finally, simulation results justify that UPF utility function with opportunistic scheduling in multiconnectivity can better satisfy QoS requirements.

Mots clés: 5G Multi-connectivity Backhaul QoS; 5G; Multi-connectivity; Backhaul; QoS

Domaines: Ingénierie assistée par ordinateur

Konstantinos Alexandris, Chia-Yu Chang, Navid Nikaein. Utility-Based Opportunistic Scheduling Under Multi-Connectivity With Limited Backhaul Capacity. IEEE Networking Letters, 2019, 1 (2), pp.80-83. ⟨10.1109/LNET.2019.2909732⟩. ⟨hal-03901483⟩