Adaptive Resource Management for Multimedia Applications in   Femtocellular and Macrocellular Networks
  The increasing demands of various high data rate wireless applications have been seen in the recent years and it will continue in the future. To fulfill these demands, the limited existing wireless resources should be utilized properly or new wireless technology should be developed. Therefore, we propose some novel idea to manage the wireless resources and deployment of femtocellular network technology. The study was mainly divided into two parts: (a) femtocellular network deployment and resource allocation and (b) resource management for macrocellular networks. The femtocellular network deployment scenarios, integrated femtocell/macrocell network architectures, cost-effective frequency planning, and mobility management schemes are presented in first part. In the second part, we provide a CAC based on adaptive bandwidth allocation for the wireless network in. The proposed CAC relies on adaptive multi-level bandwidth-allocation scheme for non-real-time calls. We propose video service provisioning over wireless networks. We provide a QoS adaptive radio resource allocation as well as popularity based bandwidth allocation schemes for scalable videos over wireless cellular networks. All the proposed schemes are verified through several numerical and simulation results. The research results presented in this dissertation clearly imply the advantages of our proposed schemes. 
Mostafa Zaman Chowdhury
cs.NI cs.MM