Handover adaptation for dynamic load balancing in 3gpp long term evolution systems
This work addresses dynamic load balancing for LTE networks, but it appears incremental as it builds on existing self-optimization studies.
The paper tackled the problem of cell congestion in 3GPP LTE systems by auto-tuning handover parameters based on radio load, resulting in significant gains in call admission rate and user throughput.
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.