Abstract
Ultra-dense networks represent the trend for future wireless 5G networks, which can provide high transmission rates in dense urban environments. However, a massive number of small cells are required to be deployed in such networks, and this requirement increases interference and number of handovers (HOs) in heterogeneous networks (HetNets). In such scenario, mobility management becomes an important issue to guarantee seamless communication while the user moves among cells. In this paper, we propose an auto-tuning optimization (ATO) algorithm that utilizes user speed and received signal reference power to adapt HO margin and time to trigger. The proposed algorithm aims to reduce the number of frequent HOs and HO failure (HOF) ratio. The performance of the proposed algorithm is evaluated through simulation with a two-tier model that consists of 4G and 5G networks. Simulation results show that the average rates of ping-pong HOs and HOF are significantly reduced by the proposed algorithm compared with other algorithms from the literature. In addition, the ATO algorithm achieves a low call drop rate and reduces HO delay and interruption time during user mobility in HetNets.
Highlights
Generation of cellular network technologies is expected to improve wireless services, such as data rates, latency, quality, and mobility
The results showed that the dynamic HCP (D-HCP) algorithm achieved lower radio link failure (RLF) and HO ping-pong (HOPP) rates compared with those of HCPs with fixed values
The proposed autotuning optimization (ATO) algorithm periodically adjusts the values of HCPs on the basis of user equipment (UE) speed and reference signal received power (RSRP)
Summary
Generation of cellular network technologies is expected to improve wireless services, such as data rates, latency, quality, and mobility. System performance is degraded due to the high frequency of call drop rate (CDR) and long interruption time (IT) This issue must be solved to guarantee that next-generation networks will provide seamless communication during user movement among different deployment scenarios. It focuses on the threshold of measurement reports without periodically adjusting HCPs in accordance with user experience Several studies, such as [3], [12]–[14] have proposed various MRO algorithms to reduce HOF by improving HO performance in HetNets. The major contribution of this paper is to optimize HCPs in MRO to minimize the HOF rate and maintain connection links between serving evolved node B (eNB) and mobile user equipment (UE) To achieve this objective, HCPs are adjusted contentiously after each measurement report, reducing HOPP, HO delay, IT, and CDR.
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