A Novel Heuristic for Handover Priority in Mobile Heterogeneous Networks

Abstract

Handover (HO) is designed to facilitate user mobility and ensure quality of service in mobile networks. In multiple base station (eNodeBs) scenarios, the HO priority process is a problem that has been studied in many surveys, as neglecting the use of priority-based schemes can result in high amounts of HO and, consequently, a decrease in the quality of services provided. This paper presents a Heuristic for Handover based on AHP-TOPSIS-FUZZY (H 2 ATF), which generates a priority ranking of eNodeBs from the use of (a) the analytical hierarchical process (AHP) to define the weights of the criteria; (b) the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to rank the selected target cells; and (c) the use of an adaptive hysteresis calculated through a fuzzy inference system based on parameters that directly impact the HO process. Through this proposal, it was possible to define the best time and, together, the best antenna to perform the HO. The results demonstrate a decrease of up to 43% in HO ping pong (HPP), a widely used metric in the literature to evaluate HO heuristics. INDEX TERMS Handover, priority, heterogeneous networks, mobile networks, AHP-TOPSIS, fuzzy logic.

Algoritmo Genético para Handover em Redes Heterogêneas Móveis

“…O algoritmo H 2 AG foi comparado com o algoritmo H 2 ATF, a fim de demostrar a eficiência da proposta. O algoritmo H 2 ATF faz o uso de métodos analíticos de tomada de decisão associado com uma histerese dinâmica proveniente do uso da lógica Fuzzy, sendo ideal para analisar números de taxa de HO, taxa de HPP e taxa de HF, e como mostrado em seu artigo original [13] Além disso, em relação ao desempenho resultante da simulação e considerando os resultados apresentados nas Figuras 4 e 3, o comportamento acima mencionado também é apresentado por [10], que descreve o trade-off entre o HPP e as HF como algo esperado. O esquema proposto minimizou a taxa de falhas e apresentou maior taxa de HPP do que outro algoritmo competitivo usando parâmetros específicos em alguns cenários.…”

“…Em [13] é apresentada uma Heurística para HO baseada em AHP-TOPSIS-FUZZY (H 2 ATF), a qual utiliza uma análise multicritério para definição de BSs em um processo de HO em cenários de HetNets. A abordagem aplica o método AHP para definição dos pesos dos critérios, assim como do TOPSIS para ranquear as BSs candidatas para HO, tendo como parâmetros a velocidade do usuário, RSRP, RSRQ e o SINR; o valor de histerese é calculado através de um modelo de inferência Fuzzy, para definir valores dinâmicos que favorecem a BS atual e evitar o HPP.…”

Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation

“…Several metrics, such as latency, jitter, throughput and packet loss ratio, are used as decision criteria for handover. The works in [10] and [11] use a different MADM algorithm known as Analytic Hierarchy Process (AHP) to compute the subjective weight value for each handover criterion. In contrast, works in [12] and [13] implement the objective weighting methods, i.e., entropy and standard deviation attributes weighting to calculate weight value for each handover criterion.…”

Selecting Projects on the Brazilian R&D Energy Sector: A Fuzzy-Based Approach for Criteria Selection

“…Saaty [44] is the first to introduce AHP, an article that received more than 8.000 citations to date and that summarizes all advantages of AHP in simplicity and clarity. It is the most used MADM method in decision-making, appearing in many recent articles and in a variety of scientific fields [45], [46]. Only in Scopus R , more than 33 thousand articles result when searching for ''Analytic Hierarchy Process'' OR ''AHP''.…”