Performance Analysis of Hybrid Spectrum Sharing in Cognitive Radio Based Wireless Regional Area Network
Abstract
Cognitive radio (CR) network is the footstep and essential need of the new wireless emerging
technologies like the Wireless Sensor Network (WSN), Internet of Things (IoT), Bluetooth, and Vehicular
Ad Hoc Network (VANET). Due to tremendous progress in the number of wireless devices and their
traffic, large scale usage of these technologies may soon cause a shortage of spectrum as all these
technologies use unlicensed bands. So, CR is a vital choice for their survival. In this paper, we address
the Quality of Service (QoS) parameters related to spectrum sharing among multiple Customer Premises
Equipments (CPEs) in the context of CR based Wireless Regional Area Network (WRAN) using trunking
theory. For this purpose, an analytical framework is developed to obtain QoS parameters such as traffic
intensity, the total number of users in the network, and time to associate with the base station (BS). For
a progressive environment, particularly the increase in the population of WRAN, we also analyzed
channel access time and received signal strength (RSS) for CPEs. Two types of centralized trunked CR
systems: 1) queued and 2) non-queued systems are investigated and this model can be helpful for the BS
in scheduling the required number of channels depending upon Grade of Service (GoS) and the total
number of users. The numerical results validate our model.
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