A Multi-Objective Approach for a Multihoming Load Balancing Scheme in WHN

The telco operators face up to challenges related to the need of ensuring a quality of service to the user in a planning, maintenance and resource allocation in their complex networks. These challenges are directly related with the need to ensure an user’s service with a good level of quality in a highly dynamic environment in terms of changes in the radio access technologies, growth in the number of mobile users, technical requirements of the new services and applications, and the possibility to connect to different networks at the same time, among others. In this paper, we address the problem of the user’s service allocation into the different feasible networks in order to reduce the network overloading. We present a multihoming load balancing scheme that allows the re-allocation of services according to their QoS requirements and the availability of network resources. We propose a multi-objective optimization model of this problem together with an evolutionary algorithm to solve it. Through simulation in different scenarios, we show that our algorithm is efficient, sensitive, scalable and provides optimal solutions

A Fairness Load Balancing Algorithm in HWN Using a Multihoming Strategy

Due to the growth of the number of intelligent devices and thebroadband requirements, between others technical requirements, of the newapplications, suppose a new challenge in planning, maintenance and resourceallocation in mobile networks for the telecommunication operators. Serviceproviders must ensure a quality of service for users in a new environmentbased in Heterogeneous Wireless Networks (HWN). A good way to achievethis goal is to prevent the quantity of services of each mobile users beingconnected to the same access networks and therefore reducing the possibilityof overloading it. This paper presents a load balancing optimization schemethat enables operators to make decisions about re-allocation of each of theservices in different access networks, keeping the required Quality of Service(QoS). In this paper, we propose 1) a mathematical model addressed as afairness resource allocation in order to obtain a global load balancing, and 2) atwo-step algorithm based on the anchor-adjustment heuristic to solve it. Ouralgorithm contribute to unload the network with maximum load while at thesame time, the other networks are balanced. As a result, we show that ouralgorithm finds (near)-optimal solutions while keeps low complexity