Efficient radio resource management in next generation wireless networks
Enoruwa Obayiuwana · Open University of Cape Town (University of Cape Town) · 2017
The current decade has witnessed a phenomenal growth in mobile wireless communication \tnetworks and subscribers. In 2015, mobile wireless devices and connections were reported to have grown to about 7.9 billion, exceeding human \tpopulation. The explosive growth in mobile wireless communication network subscribers has created a huge demand for wireless network capacity, \tubiquitous wireless network coverage, and enhanced Quality of Service (QoS). These demands have led to several challenging problems for wireless \tcommunication networks operators and designers. The Next Generation Wireless Networks (NGWNs) will support high mobility communications, such as \tcommunication in high-speed rails. Mobile users in such high mobility environment demand reliable QoS, however, such users are plagued with a \tpoor signal-tonoise ratio, due to the high vehicular penetration loss, increased transmission outage and handover information overhead, leading \tto poor QoS provisioning for the networks' mobile users. Providing a reliable QoS for high mobility users remains one of the unique challenges \tfor NGWNs. The increased wireless network capacity and coverage of NGWNs means that mobile communication users at the cell-edge should have \tenhanced network performance. However, due to path loss (path attenuation), interference, and radio background noise, mobile communication \tusers at the cell-edge can experience relatively poor transmission channel qualities and subsequently forced to transmit at a low bit transmission \trate, even when the wireless communication networks can support high bit transmission rate. Furthermore, the NGWNs are envisioned to be Heterogeneous \tWireless Networks (HWNs). The NGWNs are going to be the integration platform of diverse homogeneous wireless communication networks for a convergent \twireless communication network. The HWNs support single and multiple calls (group calls), simultaneously. Decision making is an integral core of radio \tresource management. One crucial decision making in HWNs is network selection. Network selection addresses the problem of how to select the best \tavailable access network for a given network user connection. For the integrated platform of HWNs to be truly seamless and \tefficient, a robust and stable wireless access network selection algorithm is needed. To meet these challenges for the \tdifferent mobile wireless communication network users, the NGWNs will have to provide a great leap in wireless network capacity, coverage, \tQoS, and radio resource utilization. Moving wireless communication networks (mobile hotspots) have been proposed as a solution to providing \treliable QoS to high mobility users. In this thesis, an Adaptive Thinning Mobility Aware (ATMA) Call Admission Control (CAC) algorithm for \timproving the QoS and radio resource utilization of the mobile hotspot networks, which are of critical importance for communicating nodes \tin moving wireless networks is proposed. The performance of proposed ATMA CAC scheme is investigated and compare it with the traditional \tCAC scheme. The ATMA scheme exploits the mobility events in the highspeed mobility communication environment and the calls (new and \thandoff calls) generation pattern to enhance the QoS (new call blocking and \thandoff call dropping probabilities) of the mobile users. The numbers of new and \thandoff calls in wireless communication networks are dynamic random processes that can be \teffectively modeled by the Continuous Furthermore, the NGWNs are envisioned to be Heterogeneous Wireless Networks (HWNs). \tThe NGWNs are going to be the integration platform of diverse homogeneous wireless communication networks for a convergent \twireless communication network. The HWNs support single and multiple calls (group calls), simultaneously. Decision making is an \tintegral core of radio resource management. One crucial decision making in HWNs is network selection. Network selection addresses \tthe problem of how to select the best available access network for a given network user connection. For the integrated platform of \tHWNs to be truly seamless and efficient, a robust and stable wireless access network selection algorithm is needed. To meet these \tchallenges for the different mobile wireless communication network users, the NGWNs will have to provide a great leap in wireless \tnetwork capacity, coverage, QoS, and radio resource utilization. Moving wireless communication networks (mobile hotspots) have been \tproposed as a solution to providing reliable QoS to high mobility users. In this thesis, an Adaptive Thinning Mobility Aware (ATMA) \tCall Admission Control (CAC) algorithm for improving the QoS and radio resource utilization of the mobile hotspot networks, which are \tof critical importance for communicating nodes in moving wireless networks is proposed.