Abstract
In a network topology, where 5G (mm Waves) have better coverage footprint compared to 4G (LTE or LTE-A) technology, mobile devices would generally be handed over from 4G to 5G. In this work, a supervised intelligent prediction technique for improved handover success rate (HSR) from 4G to 5G technology is proposed. The technique is applicable for base stations enabled with sub-6-GHz and mm-wave bands. This technique is novel since it can predict HSR even before switching to 5G radio circuitry or initiating its measurement gap for acquisition of mm-wave reference signal received power (RSRP) unlike conventional algorithms. Thus, preempting all handovers which are likely to fail will provide improvements in latency, delay, and handover success rate, as well as decrease call drops. Therefore, this research work answers previous research shortcomings and can unleash applications of supervised intelligent algorithms for predicting the HSR from 4G to 5G. The proposed algorithm is validated by showing improvements obtained through simulation results performed using Python-based framework. The proposed algorithm is tested for reliability with increasing parameters such as the intensity number of UEs and simulation time. Improvements in standard handover algorithm are also proposed.
Highlights
The boundless demand of high-speed wireless communications poses a challenge for cellular networks in inter-RAT handovers
Conventional handover algorithms are based upon scanning of radio parameters for every handover; the current trend is shifting toward intelligent handovers where equipment predicts the success of upcoming handover and radio parameters by using previous already available data
This research work contributes to the field as follows: Section 1 outlines the limitations of previous research work, reduction of steps in an actual handover algorithm for improved delay and latency; Section 2 offers a mathematical prediction of handover success to mm waves; Section 3 validates the proposed technique by demonstrating the improvement in handover success rate (HSR), Section 3 shows that the proposed algorithm generates decisions different to conventional algorithms after the training period and proves that the proposed algorithm improves with an increase in the number of UEs and the simulation time
Summary
The boundless demand of high-speed wireless communications poses a challenge for cellular networks in inter-RAT (radio access technology) handovers. This research focuses on improved inter-RAT handovers, where a measurement gap can only be triggered while having an accepted level of probability for a successful handover. This will reduce demand for unnecessary measurement gaps and, user data transmission will not cease during this interval. This research work contributes to the field as follows: Section 1 outlines the limitations of previous research work, reduction of steps in an actual handover algorithm for improved delay and latency; Section 2 offers a mathematical prediction of handover success to mm waves (without a radio link to 5G at the time of handover); Section 3 validates the proposed technique by demonstrating the improvement in HSR, Section 3 shows that the proposed algorithm generates decisions different to conventional algorithms after the training period and proves that the proposed algorithm improves with an increase in the number of UEs and the simulation time
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