Double constraints adaptive energy detection for spectrum sensing in cognitive radio networks

In this paper, we propose double constraints adaptive energy detection (DCAED) for spectrum sensing. DCAED adapts the threshold by exploiting the interdependent between Pfa and Pd. DCAED overcomes a demerit of ED and AED in tradeoff between Pfa and Pd. The simulation results show that DCAED gives the highest detection rate, therefore the PU has the maximum protection from harmful interference. The DCAED consumes short sensing time and gives the low of false alarm rate, the SU accordingly has more opportunities to use the channel and also maintain the throughput nearly at the same rate as the other ED techniques.