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In order to improve the prediction accuracy of cognitive radio spectrum and providing more reliable spectrum access for the subsequent spectrum detection, the dynamic fuzzy neural network is applied to predict the cognitive radio spectrum, and prove its feasibility. Simulation results show that the algorithm has higher accuracy than the general spectral prediction algorithm.
Multiple Input Multiple Output (MIMO) system is considered as an unalterable technology in wireless communication for its advantages in the spectral efficiency. Among the detection algorithms, maximum likelihood (ML) detection can achieve the best bit error rate performance, but the computational complexity of ML detection is too huge to be acceptable. In order to solve this problem, numbers of algorithms...
Electronic Product Code has been widely used to identify items with RFID tags. To the best of our knowledge, however, few works focus on exploring the value of textural data in the EPC Network that pertains to EPC. In this paper we propose the concept of the content-based query for tagged items by applying information retrieval method to the EPC network resources. The objective of the content-based...
Longest Prefix Matching (LPM), Policy Filtering (PF), and Content Filtering (CF) are three important tasks for Internet nowadays. It is both technologically and economically important to develop integrated solutions to the effective execution of the three tasks. To this end, in this paper, we propose a distributed Ternary Content Addressable Memory (TCAM) coprocessor architecture. The integrated solution...
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