A. M. Miyim

Vertical Handover Solutions Over LTE-Advanced Wireless Networks: An Overview

The convergence of multitude radio access networks forming a cluster of seamless heterogeneous wireless environment has made the wireless communication industry meet the paradigm of always best connected, where various mobile devices are able to access numerous types of applications and services. However, achieving such landmarks could not be possible without difficulties which this paper tries to highlight some of the technical challenges underlying seamless vertical handover. It provides a general overview of the mobility management process including a brief on multi-homing mobility protocol and focuses on vertical handover decision making techniques, hi ghlighting some radio interface standar and analysed some handover approaches. The paper proposes fast intelligent inter-layer network selection as a new handover approach to select the best network among the candidate networks, where Quality of Service, handover delay and improved data bit rates are set to be achieved.

Performance Analysis of Multi-level Vertical Handover in Wireless Heterogeneous Networks

The quest for high data rates, mobility and QoS has witness the integration of diverse wireless network systems in providing services to mobile users anywhere and at all-time. The convergence of these networks makes it possible for the mobile user equipment to roam seamlessly across the heterogeneous networks with session continuity. However, the integration comes with its own difficulties of selecting the right target network to handover to and therefore requires the right decision to achieve such task. This paper attempts to describe multi-level vertical handover decision algorithm that employs multi-attribute decision making in selecting the best network to optimize the VHO. The algorithm considers received signal sensitivity (power level or RSS), bandwidth and cost as the deciding factors in selecting the correct network based on the established memberships (function and degree) of the processed correlated weight vector. The results of the simulation show how the vertical handover optimization could be realized by selected the right target network.

Enhanced cellular systems for cooperative communication in 5G networks

The exciting moments for cellular networks is the currently on-going deployment of fourth generation (4G) networks offering services to customers worldwide. The key asset for users and operators alike is the support 5G networks continue to receive towards improved communication systems. This paper addresses issues of integrated resource scheduling within cellular networks and proposing an improvement of the proportional fairness algorithm (NIPFA) to examine the upcoming 5G networks. The impact of heterogeneity in cellular networks is being evaluated in a scenario combining macro and micro-coverage. Findings show how the versatility of heterogeneous networks help macrocells retain an edge for general-purpose downloading, while microcell produce an appealing solution for viral content.

Fast handover proximity for heterogeneous cellular networks

The increase in popularity and pervasiveness of mobile wireless networks is facing the challenge of integrating a potentially large number of heterogeneous wireless technologies to provide efficient handover schemes and flawless mobility. Fast handover proximity entity (HOPE) is a scheme introduced to support fast and efficient handovers in heterogeneous cellular networks. The proposed method demonstrate how the new scheme take only half of handover time as against what was obtainable with legacy handovers. Also recorded is a speed of 1/3 higher than what is obtained in legacy handover. Results obtained show that fast handover proximity help in reducing not only the handover latency, but also the end-to-end latency for MIP in frequent handover environment. This is beneficial for the integration of heterogeneous networks and a solution for viral content data transfers.

Fair channel allocation techniques for clustered cooperative communication in LTE/LTE advanced

Cell Clustering has been identified as one of the technique and mechanism for cooperative communication used in Long Term Evolution (LTE). However, the proposed mechanism is subjected to many difficulties in cooperative decisions. This paper gives an overview on clustering techniques for User Equipment (UEs) and eNodeBs (eNBs) being handled in the LTE/LTE-Advanced network such as static and dynamic clustering. Strategic channel allocation schemes are required to equally allocate bandwidth and communication channels to the eNBs. This tends to maximize system spectral efficiency when assigning channels to cells in a cellular network without interference with neighbouring. A new proposed fair channel allocation using a combination of a static and dynamic clustering is being introduced to improve the previous channel assignment techniques. Moreover, fairness among UEs and eNBs during sub-carrier allocation under various propagation impairments has been investigated. By implementing dynamic clustering with fair channel allocation, the inter-cell interference is reduced, thus improving the throughput and networks performance.