A Qos Aware Framework for Spectrum Allocation in Cognitive Radio Networks
Sneha Salvekar, Pradnya Kulkarni · Journal of Emerging Technologies and Innovative Research · 2019
In wireless communication, because of increased use of internet the bandwidth requirement is increased. Many applications demand for a large bandwidth and higher data rate to transfer the data. On the other hand, the allocated spectrum for users remains idle many times, resulting in inefficient spectrum utilization. To overcome these issues, spectrum utilization should be increased especially when spectrum is idle. This idea is the main concept of Cognitive Radio (CR) system. This system usually focuses on sensing and allocation of vacant spectrum. System has to consider short term fluctuations in spectrum bands, and data rate and other quality-of-service (QoS) requirements of different CR users. Considering these challenges, this paper contributes to design a QoS-aware framework that achieves higher throughput and fairness in CR networks. The idle spectrum band is sensed and parameters of this band are continuously monitored by a central entity – base station (BS). Using this information, a novel parameter called opportunity index, λ in generated. The different QoS requirements of CR users are divided by grouping the users and assigning priorities indicated by priority index α. The request send by these users is represented by request index θ. With the help of these parameters, the admission control algorithm, spectrum decision algorithm and spectrum mobility algorithm work to figure out QoS requirements of CR users.