Using geolocation information for dynamic spectrum access in cellular networks

In this paper, we explore the possibility of deploying a cognitive network that can opportunistically access the spectrum allocated to a primary cellular network. The main problem is that cellular networks are characterized by multiple simultaneous and dynamic transmissions combined with power control. The proposed approach assumes that the cognitive network knows the positions of the primary base stations and its own base stations. It utilizes a Maximum Likelihood Estimator (MLE) to detect the activity of neighboring primary base stations and exploits this information to determine the power with which a cognitive radio can transmit. The results show the possibility of using such a method to deploy an IEEE 802.11-like network as a cognitive network under specific constraints related to the position, the number and the distribution of the spectrum monitoring sensors inside the primary network.