HANDOVER ADAPTATION FOR DYNAMIC LOAD BALANCING IN 3GPP LONG TERM EVOLUTION SYSTEMS

Ridha Nasri (1) , Zwi Altman (1)

1 Orange Labs [Issy les Moulineaux]

The long-Term Evolution (LTE) of the 3GPP (3rd Generation Partnership Project) radio access network is in early stage of specification. Self-tuning and self-optimisation algorithms are currently studied with the aim of enriching the LTE standard. This paper investigates auto-tuning of LTE mobility algorithm. The auto-tuning is carried out by adapting handover parameters of each base station according to its radio load and the load of its adjacent cells. The auto-tuning alleviates cell congestion and balances the traffic and the load between cells by handing off mobiles close to the cell border from the congested cell to its neighbouring cells. Simulation results show that the auto-tuning process brings an important gain in both call admission rate and user throughput.

Mots clés: 3GPP LONG TERM EVOLUTION; LTE; Handover; Self optimization; Load Balancing; Mobility robustness optimization; LB; MRO

Domaines: Réseaux et télécommunications [cs.NI]; Modélisation et simulation; Robotique [cs.RO]; Automatique / Robotique

Ridha Nasri, Zwi Altman. HANDOVER ADAPTATION FOR DYNAMIC LOAD BALANCING IN 3GPP LONG TERM EVOLUTION SYSTEMS. 5th International Conference on Advances in Mobile Computing & Multimedia (MoMM2007), Dec 2007, Jakarta, Indonesia. pp 145-154. ⟨hal-00840737⟩