Abstract
Ultra dense network (UDN) is the extreme densification of heterogeneous radio access technologies (RATs) that are deployed closely in a coordinated or uncoordinated manner. The densification of RATs forms an overlapping zone of signal coverage, leading user equipment (UE) to frequent signal handovers among the available RATs. Consequently, this degrades the overall system performance. The traditional approach of RAT selection is network-centric and the decision is primarily focused on the signal aspect. However, the next generation of digital wave is a paradigm shift to being user-centric. In this paper, a context-aware multi-attribute RAT (CMRAT) selection approach is proposed to eliminate unnecessary handover of UE among RATs and determine the best RAT as the next point of attachment among the available ones in the UDN. CMRAT integrates the context-aware concept with multi-attribute decision making (MADM) theory in RAT selection. CMRAT is formed with two mechanisms, including, first, a context-aware analytical hierarchy process mechanism to prioritize the criteria for obtaining the weight. Then, a context-aware technique for order preference by similarity to an ideal solution mechanism is employed to choose the best RAT amongst the available RATs. The proposed CMRAT mechanism was implemented and validated using MATLAB. The obtained simulation findings demonstrate that the proposed CMRAT approach outperforms classic MADM methods, namely TOPSIS, SAW, and GRA with respect to the number of handovers and ranking abnormality metrics. Hence, this paper paves the way to choose RAT based on context information comprising network and user preference criteria information.
Highlights
The recent societal development and explosion of smart phone usage with ubiquity support are leading to the avalanche of mobile and wireless traffic volume fore casted to intensify thousand fold over the decade
The densified multi-radio access technologies (RATs) heterogeneous environment with imperative approach of RAT selection leads to frequent unnecessary handover while degrading system performance
There is a need for an efficient RAT selection mechanism which enhances the quality of experience of the user while utilizing the network resources optimally
Summary
The recent societal development and explosion of smart phone usage with ubiquity support are leading to the avalanche of mobile and wireless traffic volume fore casted to intensify thousand fold over the decade. The 5G networks are a kind of a revolution and evolution from previous generations It is characteristically revolutionary, as it dynamically aids information access to various devices with different kinds of new upcoming applications with paradigm shift features. As it dynamically aids information access to various devices with different kinds of new upcoming applications with paradigm shift features It is evolutionary, in the sense it extends the horizon like the previous generations in terms of signal strength, data rate, frequency bands, and other network resources to accommodate huge service demand [3]. Most RAT selection processes are based on the link quality parameters like RSS, SINR, or bandwidth This approach is inadequate for heterogeneous UDN [8]. The findings revealed that the CMRAT was quantitatively better in comparison with the other MADM approaches
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