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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science

Adam Wong Yoon Khang

Universiti Teknikal Malaysia Melaka

Author-ID : 2467389

Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 8 Documents Claim Missing Document

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Design of a cell selection mechanism to mitigate interference for cell-edge macro users in femto-macro heterogeneous network Shapina Abdullah; Norashidah Md. Din; Shamsul J. Elias; Adam Wong Yoon Khang; Roshidi Din; Rosmadi Bakar
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

The Femto-Macro heterogeneous network is a promising solution to improve the network capacity and coverage in mobile network. However interference may rise due to femtocell deployment nearby to macro user equipment (MUE) within macrocell network coverage. Femtocell offers main priority in resource allocation to its subscribed femto user equipment (FUE) rather than unsubscribed MUE. MUEs will suffer severe interference when they are placed near or within the femtocell area range especially at the cell edge. This phenomenon occurs due to the distance is far from its serving macro base station (MBS) to receive good signal strength. This paper presents a design of cell selection scheme for cell-edge MUE to select an optimal femto base station (FBS) as its primary serving cell in physical resource block allocation. In this study, the proposed cell selection consists of four main elements: measuring the closest FBS distance, Signal to Interference-plus-Noise-Ratio (SINR), physical resource block (PRB) availability and node density level for the selected base station. The main goal is to ensure cell-edge MUE has priority fairly with FUE in physical resource block allocation per user bandwidth demand to mitigate interference. Hence, the cell-edge MUE has good experienced on receiving an adequate user data rate to improve higher network throughput.

Last mile mobile hybrid optical wireless access network routing enhancement Adam Wong Yoon Khang; Shamsul J. Elias; J. Pusppanathan; Nadiatulhuda Zulkifli; N. H. Halim; Shapina Abdullah
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

This study focuses on mobile ad hoc networks (MANETs) that support Internet routing protocol imposing stringent resource consumption constraints of Quality of service (QoS). The mobile Internet causes the on-going issue of inefficient use of the MANET resources due to its random nature of wireless environments. In this paper, the new improved architecture of the last mile mobile hybrid optical-wireless access network (adLMMHOWAN) is proposed and designed to tackle the arised issues. The proposed design is based on a unified wireless-wired network solution required the deployment of MANET-based wireless fidelity (WiFi) technology at the wireless front-end and wavelengths division multiplexing passive optical network (WDM PON) at the optical backhaul. The critical performance metrics such as network capacity and energy consumption based on modified AODVUU routing protocol using OMNeT++ software is analyzed with 2 scenarios, namely the number of nodes and mobility speed. This mode of communication results in better QoS network capacity of 47.07% improvement, with 26.85% reduction of lower energy resource consumption for mobile wireless front-end over passive optical network backhaul architecture when compared with the existing work of oRiq scheme that focus on improvement in MANETs.

Co-Authors ASM Supa’at Farabi Iqbal J. Pusppanathan Jamaluddin Jasmis Mohamad Yusof Darus N. H. Halim Nadiatulhuda Zulkifli Noor Aishah Zainiar Norashidah Md. Din R. Badlishah Ahmad Roshidi Din Rosmadi Bakar Shahirah Mohamed Hatim Shamsul J. Elias Shamsul J. Elias Shamsul Jamel Elias Shapina Abdullah Shapina Abdullah Shapina Abdullah

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