In battery-powered Cognitive Machine-to-MachineCommunications (CM2M), the energy consumption, opportunis-tic data access capacity and interference to the licensed systemneed to be optimized simultaneously. We consider this as jointcooperative spectrum sensing and power allocation, and modelthis as a constraint multiobjective optimization problem of threeobjectives. Our model helps to find a Pareto optimal variableset of sensing duration, detection threshold and transmissionpower for each individual sensor in cooperative spectrum sensing.The evaluation of our model shows that energy consumption,opportunistic data capacity and interference are optimizedsimultaneously while keeping the total cooperative spectrumsensing error lower than a predefined threshold. Pareto optimalresults show that better energy efficiency [bits/joule] makes lowerharmful interference to the primary system.
展开▼
