QOS OPTIMIZATION FOR MULTIMEDIA DELIVERY CONTENT OVER HETEROGENEOUS WIRELESS NETWORKS

The transition from analogue TV to digital TV has led a fast-growing of available multimedia contents. In recent decades, there has been a great development of digital broadcasting systems, in addition to those relating to the existing DVB consortium other examples just as representative as DAB (Digital Audio Broadcasting) and DRM (Digital Radio Mondiale). The purpose of the Part I of this project therefore is as follows: the study and implementation of an algorithm for optimizing the planning of digital broadcasting networks based on COFDM modulation for use in single frequency networks (SFN). This algorithm manipulates the information on a broadcast network and estimates degree of coverage and interference that offers a particular network, and does it the best way possible and at minimum cost. Subsequently the study and implementation of this algorithm optimization, we have studied in terms of functionality and performance, to evaluate the usefulness of them and if conclusions drawn from their application can be applied reliably. Part II of this thesis proposes two novel algorithms: the Adaptive Eeal-time Multi-user Access Network Selection (ARMANS) and Prioritized ARMANS (P-ARMANS). ARMANS is a load balancing algorithm that takes into account not only the real-time global traffic load on each network, but also considering the different classes of traffic, voice, video, best-effort, and background. The proposed algorithm improves both QoS and load balancing in comparison with the case when a classic network selection with no traffic type load balancing is employed. The novel P-ARMANS load balancing algorithm Markov decision process (MDP)-based multi-agent framework was introduced to perform the bandwidth allocation on users with different typology and priority and considering and classifying the type of traffic involved in a multimedia data user demand. The proposed approach performs the available bandwidth on users with different screen resolution and priority. We demonstrate that P-ARMANS framework ensures high QoS distributing different type of traffic load among typical and business users compared to a classic no-priority model. Both ARMANS and P-ARMANS operate over heterogeneous wireless networks (HWNs), 4G-LTE and 802.11n.