# An Optimized Load Balance Solution for Multi-homed Host in Heterogeneous Wireless Networks
## 1 Introduction
On the other hand, the user-centric methodology is maintained on the user terminal to engage directly with the multiple connections. Multihoming for user devices is widely considered in providing everlasting, ubiquitous access and reliability. User devices do not have the required intelligence to make use of multiple connections and operate with only a single preferred connection while maintaining other remaining connections as standby [6]. There are techniques that have been developed to solve this problem such as handover, mobility, bandwidth aggregation, multiplexing, and load balancing [13]. The load-balance is implemented in HetNet wireless networks by the dynamic optimization of the utility function of the split ratio of data among multiple access networks without considering the type of application or the needed quality of service QoS [14; 15; 16; 17]. Up to the best of our knowledge, no work considered the possibility of data distribution by unequal load balance with multiple access simultaneously while considering the application type as a leading perspective. Simultaneous multiple access is the newest concept in HetNet, which can as well be called \"multihoming\". Motivated by the need of 5G networks to deliver new services with higher data rates, the objective of this paper is to propose a framework for evaluating the multihoming principle and introducing a system for improving its applicability for devices with numerous interfaces. This paper tackles the load balance issue. The solution for load balance requires the ranking of available multiple connections. This is achieved using algorithms for multiple attributes decision making (MADM) [18]. The MADM can frequently be depicted as the operation of selecting one from many available options, or placement decisions. This paper studies the performance and compares three of the most remarkable MADM techniques in alternative-choice-making. This is to suggest that the most appropriate solution technique for the multi-homed host (MH), is to send the application data traffic in an unequal cost load balance distribution while matching both the application categories and connection parameters. This aims to better optimize the utilization of the available resources. These techniques are the: simple additive weighting (SAW) method, technique for order preference by similarity to ideal solution (TOPSIS) method and analytical hierarchy process (AHP) method [19]. The proposed model is considered a general solution for end-user devices and terminals. Simulation results are carried out to investigate the validation and performance of the proposed model. Simulation results aim to reveal that the proposed model can achieve the required objective, which is transmitting the data traffic per application preference over the available network connections in an unequal cost load balance scheme instead of offloading application data based on the ranking of connections. This paper is organized as follows: Section 2 presents related works and problem statement of the load balance issue. Section 3 presents the proposed system model and provide the connection utility equation. Section 4 presents the simulation and analysis of the proposed model. Section 5 provides insight into future work and Section 6 concludes the paper.