A Cognitive Radio Parallel Cooperative Spectrum Sensing Method

Abstract

Disclosed is a cognitive radio parallel cooperative spectrum sensing method. The method includes firstly, computing a system benefit matrix according to defined sensing overhead and transmission gain, applying a Kuhn-Munkres algorithm for allocating one component channel to one cognitive user for sensing, and if surplus cognitive users exist, computing a system benefit incremental matrix; and secondly, iterating the Kuhn-Munkres algorithm for optimally continuing allocating cognitive users to component channels so as to perform cooperative sensing for the component channel together with the previously allocated cognitive users. The parallel cooperative spectrum sensing method has the advantages that sensing performance differences of the sensing overhead, the system gain and different cognitive users on different component channels are fully considered, the shortcoming that an existing parallel cooperative spectrum sensing method only considers detection accuracy and needs many users for sensing is overcome, a sensing strategy can be determined optimally, system benefit is improved effectively, and number of cognitive users participating in cooperative sensing is decreased.

Description

(1) Technical field [0001] The invention relates to a parallel cooperative spectrum sensing method in the technical field of cognitive radio spectrum sensing. (2) Background technology [0002] With the rapid growth of people's demand for wireless communication, the problem of shortage of spectrum resources is becoming more and more serious. The traditional fixed spectrum allocation method can no longer meet people's increasing demand for spectrum. Cognitive radio technology changes the fixed spectrum allocation method in the past, enables unlicensed users to use spectrum flexibly without affecting licensed users, and provides an effective solution to the problem of shortage of spectrum resources. It is the future communication development The inevitable trend. [0003] The key and prerequisite for the realization of cognitive radio is effective spectrum sensing technology. Cooperative spectrum sensing technology is a widely used spectrum sensing method at present. It col...

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Problems solved by technology

Behzad Shahrasbi, Nazanin Rahnavard, ″Cooperative parallel spectrum sensing in cognitive radio networks using bipartite matching, ″in Military communications conference, 2011-MILCOM2011, 2011, pp.19-24 equates the parallel cooperative spectrum sensing problem into a bipartite graph For the problem of optimal matching, the Hungarian algorithm is used to obtain the optimal spectrum sensing method, but this method only considers the situation that one subchannel is perceived by only one user. Due to the influence of channel fading and shadow effects, the perception result of a single user may not be precise

Article Wang Zaili, Feng Zhiyong, Zhang Ping, "An Iterative Hungarian Algorithm Based Coordinated Spectrum Sensing Strategy," IEEE Communications Letters, vol.15, pp.49-51, 2011 and article Zai Li Wang, Zhi Yong Feng, Di Zhang, Jian Tao Xue, Ping Zhang, "Optimized strategies for coordinated spectrum sensing in Cognitive Radio Networks," in 2011Sixth International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2011, pp.96-100 separately proposed the use of iterative Hungary Algorithm and iterative Kuhn-Munkres (KM) algorithm for parallel spectrum sensing, but these two methods only consider the accuracy of detection, but do not consider the problem of sensing overhead and system benefits, and because the method does not have a perfect termination condition, As a result, more cognitive users are required for spectrum sensing, which will seriously increase the energy consumption of cognitive users and increase the probability of false alarms of the system

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