Handover adaptation for dynamic load balancing in 3gpp long term evolution systems
Ridha Nasri, Zwi Altman

TL;DR
This paper proposes an auto-tuning method for LTE handover parameters that dynamically balances load across cells, reducing congestion and improving call admission and user throughput.
Contribution
It introduces a novel auto-tuning approach for LTE handover parameters based on radio load, enhancing load balancing and network performance.
Findings
Significant improvement in call admission rate.
Enhanced user throughput.
Effective load balancing across cells.
Abstract
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.
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Taxonomy
TopicsWireless Communication Networks Research · Advanced MIMO Systems Optimization · Advanced Wireless Network Optimization
