The proliferation of wireless systems requires that the coexistence between heterogeneous technologies be addressed. This paper presents a cognitive framework in which sensing- based resource management of an infrastructure system effectively suppresses interference to close-by ad-hoc or peer-to- peer links. By utilizing its superior communication resources the infrastructure system estimates interference conditions and judiciously allocates transmission power such as to minimize interference. Despite adapting its transmission behavior, a rate constraint ensures that the infrastructure system continues to meet a specified quality-of-service level. The problem of optimal coexistence is formulated as a convex program. Structured solutions similar to classical water filling are derived and a solution method with guaranteed convergence is developed. An average-rate formulation extends the results to water filling across frequency and time. Numerical results corroborate our analysis and demonstrate a promising interference reduction.
['Stefan Geirhofer', 'Lang Tong', 'Brian M. Sadler']
A Cognitive Framework for Improving Coexistence Among Heterogeneous Wireless Networks