Interference-Aware Power Control for Cognitive Radio Networks

The notion that spectrum is a scarce and diminishing commodity has been derived from static frequency allocations that are being increasingly labeled as outdated. The underutilization of spectrum is a driving force behind research on efficient techniques for spectrum access. The deployment of cognitive radio networks is a means of allowing for efficient spectrum sharing and opportunistic spectrum access. It presents new challenges to the classical problem of interference management in wireless networks. Dynamic power allocation is an essential feature in cognitive radio that has been under-explored in comparison to power control in cellular networks. This work develops a general framework for power allocation in cognitive radio networks based on four goals: QoS protection to primary users, opportunism to secondary users, admissibility to secondary users, and autonomous operation by individual users. Two additional goals that are desirable rather than essential are also presented. A general class of Dual Priority Class Power Control (DPCPC) policies that satisfy such goals are introduced. Through theoretical analysis and simulation, it's shown that a specific autonomous interference-aware power control algorithm (AIPC) can address such goals.

Siamak Sorooshyari is a Member of the Technical Staff at Bell Labs -Alcatel-Lucent where he is involved in the development of physical layer and link layer algorithms for next generation wireless data networks. His research has been in the general areas of statistical channel modeling, performance analysis of diversity systems, and radio resource management. His current research has been focused on resource allocation for wireless networks, optimization and stochastic control of communication networks, and distributed algorithms for resource allocation.