2011/11/20 by Hossein Shokri‐Ghadikolaei, Shokri-Ghadikolaei, Hossein, Masoumeh Nasiri‐Kenari +2
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Blind Source Separation Techniques #Cognitive Radio Networks and Spectrum Sensing #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Performance (cs.PF)
paper · pdf · doi:10.48550/arxiv.1111.4624
openalex publication_date 2011/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Powerful spectrum decision schemes enable cognitive radios (CRs) to find\ntransmission opportunities in spectral resources allocated exclusively to the\nprimary users. One of the key effecting factor on the CR network throughput is\nthe spectrum sensing sequence used by each secondary user. In this paper,\nsecondary users' throughput maximization through finding an appropriate sensing\nmatrix (SM) is investigated. To this end, first the average throughput of the\nCR network is evaluated for a given SM. Then, an optimization problem based on\nthe maximization of the network throughput is formulated in order to find the\noptimal SM. As the optimum solution is very complicated, to avoid its major\nchallenges, three novel sub optimum solutions for finding an appropriate SM are\nproposed for various cases including perfect and non-perfect sensing. Despite\nof having less computational complexities as well as lower consumed energies,\nthe proposed solutions perform quite well compared to the optimum solution (the\noptimum SM). The structure and performance of the proposed SM setting schemes\nare discussed in detail and a set of illustrative simulation results is\npresented to validate their efficiencies.\n