Cross-Channel Estimation Using Supervised Probing and Sensing in Cognitive Radio Networks

Date Added: Apr 2011
Format: PDF

Prior work in implementing spectrum sharing scenarios for cognitive radio networks has relied on the unlikely assumption of full cross-channel knowledge made available to the Cognitive Transmitter (CT) and/or the target Primary Receiver (PR). However, estimation of this cross-channel knowledge is not only important from a practical stand-point, but also in limiting the real interference power felt at the PR due to concurrent CT transmissions. The authors propose a supervised probing and sensing model, which enables the CT to gain a decent estimate of the cross-channel, assess the spectrum opportunities in its region of interference, and according to its throughput needs safely share or access primary user spectrum.