Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network

Abdul, Qahar (2021) Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network. PhD thesis, Universiti Malaysia Sarawak.

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Abstract

Wireless Heterogeneous Small Cells Network (WHSCN) raised an enormous interest among communication industry and academia all around the world. Recent development of mobile services and applications has resulted in an imposing rise in the network traffic. In order to enhance the network capacity to meet the traffic demands, the Service Providers (SPs) make use of dense deployment of small cells base stations. However, dense deployment of small cells poses several challenges such as inefficient utilization of resources, imbalance of load during peak-hours and underutilization of resources during off-hours leading to high energy consumption and hence degrading the network efficiency of WHSCN. In order to address these issues, this research has proposed a centralized Intelligent Network Management (INM) mechanism. The INM mechanism is implemented in a centralized Small Base Station (SBS). This centralized SBS is known as High Signal Strength (HSS-SBS). The proposed INM mechanism has efficiently utilized the resources by monitoring the load of each SBSs in a cluster. INM also shares the SBSs’ load by activating the centralized SBS during peak-hours and reducing high energy consumption by deactivating the under loaded SBSs during the off-hours. The simulation results show that the proposed mechanism outperforms in terms of decreased user rejection ratio only 3% during peak-hours while 30% reduced energy consumption as compared to Mobility Load Balancing (MLB) scheme of Random Sleep SBSs (RS-SBSs) and Sleep Only Centralized SBS (SOC-SBS) scheme during off-hours. Thus, the proposed INM mechanism has proved to be a better solution to address the issue of inefficient utilization of resources, imbalance of load sharing and energy inefficiency in the WHSCNs.

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