The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Efficient resource allocation and call admission control in high capacity wireless networks
Author:	Hou, Jiongkuan
View Online:	njit-etd2003-074 (xii, 99 pages ~ 4.8 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Doctor of Philosophy
Program:	Computer Engineering
Document Type:	Dissertation
Advisory Committee:	Papavassiliou, Symeon (Committee chair) Ansari, Nirwan (Committee member) Tekinay, Sirin (Committee member) Yao, Yu-Dong (Committee chair) Ziavras, Sotirios (Committee member)
Date:	2003-05
Keywords:	resource allocation call admission control wireless networks
Availability:	Unrestricted
Abstract:	Resource Allocation (RA) and Call Admission Control (CAC) in wireless networks are processes that control the allocation of the limited radio resources to mobile stations (MS) in order to maximize the utilization efficiency of radio resources and guarantee the Quality of Service (QoS) requirements of mobile users. In this dissertation, several distributed, adaptive and efficient RA/CAC schemes are proposed and analyzed, in order to improve the system utilization while maintaining the required QoS. Since the most salient feature of the mobile wireless network is that users are moving, a Mobility Based Channel Reservation (MBCR) scheme is proposed which takes the user mobility into consideration. The MBCR scheme is further developed into PMBBR scheme by using the user location information in the reservation making process. Through traffic composition analysis, the commonly used assumption is challenged in this dissertation, and a New Call Bounding (NCB) scheme, which uses the number of channels that are currently occupied by new calls as a decision variable for the CAC, is proposed. This dissertation also investigates the pricing as another dimension for RA/CAC. It is proven that for a given wireless network there exists a new call arrival rate which can maximize the total utility of users, while maintaining the required QoS. Based on this conclusion, an integrated pricing and CAC scheme is proposed to alleviate the system congestion.