Vilas Wuwongse

Intelligence in Communication Systems

This paper reports the findings of recent studies on the impact of intelligence in modern/future-oriented telecom networks. The ICT/ telecommunication market evolution and future trends are presented. Subsequently, the business opportunities are also discussed. The main drivers for the evolution as well as market success are mobility, security, and intelligence in the network. Though the global economy is still far from recovery, analysts expect the world telecom market in 2004 to exceed 1,000 billion Euros, with an impressive annual growth rate of between 3% and 4% Current security threats and security fiascos reveal the fact that, in spite all innovative and advanced security solutions offered by renowned companies, the security market is still quite promising. There are big business opportunities for mature solutions involving intrusion detection systems, fire walls, antivirus systems, encryption and secure mobility. The evolution towards mobility is currently passing from third-generation to fourth-generation, milli-wave lAN and HAPS solutions in the next decade. Considering the technological evolution and the current trends, the telecommunication market will present excellent opportunities for intelligent solutions and products that provide maximum bandwidth with optimal mobility, convergence between mobile and fixed networks, connectivity on demand, and finally build, transfer, optimize, manage and operate the network.

Towards a Plug and Play Architecture for Telecommunications

This paper presents an architecture specified within the project “Plug-and-play for Network and Teleservice Components” supported by The Norwegian Research Council. The hardware and software parts, as well as complete network elements that constitute a communication system, shall have the ability to configure themselves when installed into a network and then to provide services according to their own capabilities, the service repertoire and the operating policies of the system.

Intelligence in Networks

This paper proposes the use of active networking technology for congestion control and fast error correction with application level error recovery code deployed in active nodes. Its focus lies on real-time video transmission of sender based adaptive applications which are supported by active network nodes. Experiments with a prototype model show a considerable improvement with respect to video quality, error correction time, and bandwidth utilisation