Research Interests
In nowadays, game theory has been widely recognized as an important tool in the research area of network design. A promising potential application of game theory in communication networks is the area of congestion control, network routing, load balancing, multi-commodity flow, resource allocation and quality of service provisioning. Intensive research work has also been devoted to game models in wireless mobile networks. Some of the main issues are power control, bandwidth pricing, incentive mechanism for cooperation between mobile nodes, resource sharing, the access control to a common radio channel, and auctions for wireless bandwidth. In addition, new problems are constantly propounded in various areas such as network security and software engineering. In recent years, these issues have become an increasingly important part of network design.
In applying game theory for wireless communications and networking, wide application examples can be efficiently addressed. The applications are mainly motivated by the inherent characteristics of wireless systems. First, wireless bandwidth is very scarce and limited resource in communications. With the increasing number of wireless access terminals, wireless bandwidth scarcity and hence competition among mobile users becomes more severe. This competition for limited resources closely matches with the concept of game theory. Second, the wireless network systems become more complicated with respect to network size, protocol heterogeneity, QoS sensitive multimedia services and dynamic interactions. In such issues, game theory is able to significantly help better understand the complex interactions, and design more efficient, scalable, and robust protocols. Third, the current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. Therefore, the effectiveness of network performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. This demands intelligent network management and operation, which may well be solved within the game theoretical framework.
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