Sensing-throughput/positioning tradeoff in indoor cognitive radio networks

This paper evaluates the performance of indoor cognitive networks in terms of the throughput and the positioning, according to the spectrum sensing time. A better sensing quality can be obtained by using a longer sensing time. The better sensing quality of a secondary user (SU), the more accurate information about a primary user (PU) positioning. However, there exists a tradeoff between the sensing quality and the achievable throughput. In the previous works, the achievable throughput has been derived under the assumption that the PU has a constant occupancy state during the entire frame duration. Actually, however, the state of PUs varies during the entire frame duration. We exploit a cooperative spectrum sensing for better observation on the PU positioning. Simulation results show that the proposed scheme gets more reliable positioning performance and better achievable throughput compare to those of previous works.