A Vivid Study of Various Spectrum Sensing Methods in CR Network
Abstract
The Wireless applications of today have become the most popular applications. Rapid increasing appeal on wireless apps must have put a great deal of restrictions on the obtainable radio frequency spectrum, i.e. the mandate of specified spectrum allocation. Nonetheless, a significant proportion of the allocated frequency band released infrequently and geographically on the basis of utilization of the allocated spectrum varies from 15%-85% with such a fast time variance depending on the geographical area of operation[FCC 2002].The spectrum is known to be extremely underused, while network operators spend billions of dollars on spectrum purchases. The limited available spectrum and inequity in frequency usages require a special development communication network for utilization of current available spectrum on an opportunistic basis. This current networking model is commonly known as CR Networking i.e. Cognitive wireless network and also the Future generation XG Networking (Next Generation Network) as well as Dynamic Spectrum Access Networking.CR technology allows to access the radio spectrum dynamically (DSA) to address usable spectrum constraints and deficiencies. Such a groundbreaking and evolving technological advances a new paradigm specification of wireless System since it may enable reliable use of radio spectrum by providing capabilities for sensing of radio spectrum, self-adjustment with spectrum band and optimized sharing of radio spectrum with proper spectrum management in the existing wireless network. As such spectrum detection method consumes much current research opportunities with regard to CR technique .In the whole literature survey we propose several sensing techniques based on basic sensing methodology. A comparative study was conducted in this research to assess the performance of three main spectrum detection methods named as: EnergyDetection(ED), Matched Filter based Detection, Cyclo-stationary Feature Detectioni.e. Primary transmitter based detection. We also discussed another aspect of sensing Technique renowned as, Primary Receiver Based Detection. In contrast, two another other Advance sensing techniques, Jamming-based probing technique allows cognitive users to more accurate identify their nearby active primary receiver and also Relay-based analytical technique to measure the cross-channel benefit in-between CR user and the primary receiver are presented.
