Name
Abstract | ||
|---|---|---|
In this paper, we address the use of order statistics to detect the presence of a wireless network for cognitive radio applications. The basic principle of the proposed scheme is generic. However, Long Term Evolution (LTE) is used as the reference system to demonstrate its application and analysis. Our proposed scheme is a coarse spectrum sensing technique that requires no prior knowledge of the exact synchronization sequences. At first, the proposed detection scheme employs a sliding window technique to collect energies from the received signal. After that, it sorts out the collected energies in the descending order and performs a partial sum of the largest order statistics to discover the network coverage. We probe the proposed technique against other existing schemes that are commonly used in cognitive radio. Our numerical results demonstrate that depending on the network parameters, the proposed spectrum sensing scheme is capable of significantly outperforming the existing spectrum sensing algorithms. |
Year | Venue | Field |
|---|---|---|
2016 | IEEE Military Communications Conference | Wireless network,Synchronization,Algorithm design,Sliding window protocol,Computer science,Signal-to-noise ratio,Electronic engineering,Order statistic,Orthogonal frequency-division multiplexing,Cognitive radio |
DocType | ISSN | Citations |
Conference | 2155-7578 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md Rakibul Hasan | 1 | 1 | 1.06 |
| Sharif Atique | 2 | 0 | 0.68 |
| Mohammad Saquib | 3 | 154 | 24.59 |
| jeffrey boksiner | 4 | 5 | 2.35 |