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Analytical and Learning-Based Spectrum Sensing Time Optimization in Cognitive Radio Systems
Powerful spectrum sensing schemes enable cognitive radios (CRs) to find ...
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Optimizing Throughput Fairness of Cluster-based Cooperation in Underlay Cognitive WPCNs
In this paper, we consider a secondary wireless powered communication ne...
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A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks
In this paper, a cooperative spectrum sensing scheme based on compressiv...
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Inter-cluster Cooperation for Wireless D2D Caching Networks
Proactive wireless caching and device to device (D2D) communication have...
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Optimal Energy Management Strategies in Wireless Data and Energy Cooperative Communications
This paper presents a new cooperative wireless communication network str...
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Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs
In this paper, we investigate the performance of conventional cooperativ...
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On the Throughput Optimization in Large-Scale Batch-Processing Systems
We analyze a data-processing system with n clients producing jobs which ...
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Cluster Size Optimization in Cooperative Spectrum Sensing
In this paper, we study and optimize the cooperation cluster size in cooperative spectrum sensing to maximize the throughput of secondary users (SUs). To calculate the effective throughput, we assume each SU spends just 1 symbol to negotiate with the other SUs in its transmission range. This is the minimum overhead required for each SU to broadcast its sensing decision to the other members of the cluster. When the number of SUs is large, the throughput spent for the negotiation is noticeable and therefore increasing the cooperation cluster size does not improve the effective throughput anymore. In this paper, we calculate the effective throughput as a function of the cooperation cluster size, and then we maximize the throughput by finding the optimal cluster size. Various numerical results show that when decisions are combined by the OR-rule, the optimum cooperation cluster size is less than when the AND-rule is used. On the other hand, the optimum cluster size monotonically decreases with the increase in the average SNR of the SUs. Another interesting result is that when the cluster size is optimized the OR-rule always outperforms the AND-rule.
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