Double Threshold Energy Detection of Cooperative Spectrum Sensing in Cognitive Radio

Abstract

Abstract-Cognitive radio has become an effective theory to solve the inefficiency of the spectrum usage, and cooperative spectrum sensing among the secondary users to detect the primary user accurately is broadly studied before. In this paper, we employ a double threshold method in energy detector to perform spectrum sensing, while a fusion center in the cognitive radio network collects the local decisions and observational values of the secondary users, and then makes the final decision to determine whether the primary user is absence or not. Simulation results will show that the spectrum sensing performance in AWGN channels is improved significantly under the proposed scheme as opposed to the conventional method.

Adaptive Communication Techniques for the Internet of Things

“…The scheme proposed in [91] demonstrates one of the examples which uses dual-mode in order to improve signal detection. Hard combination is adopted by default with predefined upper and lower thresholds which are shared among all users, similar to [92].…”

“…However, nodes cannot make local decisions if the detected energy level falls between the two thresholds; alternatively, they handle the "unknown state" by switching to soft fusion and send local sensing value to cluster-heads or the FC instead. Accordingly, the entity responsible for the fusion process would need to make higher level soft fusion on behalf of those indecisive nodes and then combine all decisions to generate the final judgment [91]. A two-stage hybrid data fusion is proposed in [93].…”

Voting rule optimisation for double threshold energy detector-based cognitive radio networks

“…The associated probabilities for the k-out-of-N rule for a single threshold detector network are [13], [15]:…”

Cooperative Adaptive Threshold Based Energy and Matched Filter Detector in Cognitive Radio Networks

“…Our proposed scheme has higher detection performance as compared to other conventional methods and the method described in Ref. [10]. We take the advantages of energy efficient ED to make the local decision in the clear region and reliable MF to take the decision in the confused region.…”

“…This method can reduce the sensing time and cause sensing failure problem. Paper [10] also proposed a method using double threshold based on ED to increase the detection performance as compared to the conventional ED. In this method, first SU will make the local decision by comparing their O i of the clear region with the pre-defined threshold of ED.…”