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To reduce the huge consumption of traditional sensing, a multi-centers estimation based sensing scheme is proposed in this paper. Firstly, all potential channels are clustered into highly related groups with some channels selected as detecting channels (DCs) using an unsupervised algorithm. In each group, the states of other channels (estimated channels, ECs) are estimated according to their correlations...
To utilize the valuable spectrum resources efficiently, cognitive radio is proposed, in which spectrum sensing plays an essential role. In this paper, we propose a novel spectrum sensing scheme to reduce the consumption of wide-band spectrum sensing. Firstly, all potential channels are clustered into highly correlated groups. In addition to the greedy clustering algorithm (GC) discussed in our previous...
With recent breakthroughs in full-duplex radio, there is a growing trend to combine it with cognitive radio. Thus the topic of spectrum sensing in full-duplex scenario is addressed in this paper. Firstly, the concept of full-duplex spectrum sensing and its advantage over traditional half-duplex spectrum sensing are analyzed. Then a correlation based least square algorithm is formulated to cancel out...
Under current popularity of full duplex radio, this paper explores the adaption of energy detector (ED) to full duplex scenario. To improve sensing performance,firstly a correlation based channel estimation algorithm is formulated to cancel out self-interference. We then notice traditional ED has a long delay in finding sensing error. To tackle this problem, sliding window ED is proposed, in which...
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