Abstract
Data communication networks are a vital component of any modern society. They are used extensively in numerous applications, including financial transactions, social interactions, education, national security, and commerce. In particular, both wired and wireless devices are capable of performing a plethora of advanced functions that support a range of services, such as voice telephony, web browsing, streaming multimedia, and data transfer. With the rapid evolution of microelectronics, wireless transceivers are becoming more versatile, powerful, and portable. In the wireless technology, the major issue is the issue of spectrum utilization. The utilization of spectrum has increased to its maximum level. To tackle this issue the technology named cognitive radio was introduced to the rescue. The Cognitive radio is an emerging technology that facilitates dynamic spectrum access in wireless networks. The cognitive radio is capable of expediently using the obtainable portions of a licensed spectrum to improve the application performance for unlicensed users. The opportunistic access of the accessible channels in the wireless environment requires dynamic channel assignment to efficiently utilize the available resources while minimizing the interference in the network. In this paper, we are focusing the different traffic types such video and voice. In the voice, we have different codec and in the video application, we have different model types from which we need to choose the best for the optimum results.
Highlights
In this modern era of science and technology, where every person is aware of the latest technology and trends, every second person is holding mobile phone and using its resources in the well manner, this leads to the situation where a person need full access of the resources for which him/her paying
In order to tackle the problem of spectrum underutilization, the concept of Cognitive Radio (CR) was proposed by Joseph Mitola III [1].The cognitive radio, built on a software-defined radio, is defined as an intelligent wireless communication system that is familiar of its environment and uses the technique of grasping by-building to learn from the environment and adapt to statistical variations in the input stimuli, with two primary objectives in mind highly dependable communication whenever and wherever needed well organized utilization of the radio spectrum [2]
The development of the IEEE 802.22 wireless regional area network (WRAN) standard is focused at using cognitive radio (CR) technology to allow sharing of geographically unused spectrum allocated to the television broadcast service, on a non-interfering basis, to bring broadband access to hard-to-reach, low population density areas, typical of rural environments, and is timely and has the potential for a wide applicability worldwide
Summary
In this modern era of science and technology, where every person is aware of the latest technology and trends, every second person is holding mobile phone and using its resources in the well manner, this leads to the situation where a person need full access of the resources for which him/her paying. The problem is the limited and costly available spectra to wireless data carriers. It has its slam on smart phones, and on all wireless devices. The development of the IEEE 802.22 WRAN standard is focused at using cognitive radio (CR) technology to allow sharing of geographically unused spectrum allocated to the television broadcast service, on a non-interfering basis, to bring broadband access to hard-to-reach, low population density areas, typical of rural environments, and is timely and has the potential for a wide applicability worldwide. In its Correlation with Geo-location information it is stated that it is closely tied to collaborative sensing It tries to cross check the spectral footprint of the detected signal based on location of the sensor. The Spectrum Manager (SM) is capable of prohibiting a subscriber from registering if it does not have adequate sensing capabilities
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More From: International Journal of Advanced Research in Computer Science
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