Optimization of BAMA Scheduling Scheme in Cognitive Radio Networks
Anu Bala, Inderdeep Kaur Aulakh · 2012
Cognitive radio networks provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. Cognitive radio is such a wireless network technology, which intelligently detects a particular segment of the radio spectrum currently in use and selects unused spectrum quickly without interfering with the transmission of authorized users. The main goal of CR technology is to relieve radio spectrum overcrowding, which actually translates to a lack of access to full radio spectrum utilization. So, for the better utilization of the spectrum in case of high speed, a high bandwidth network, the channel is shared by number of users over the network. As the number of channels, carriers and users increase over the network, the communication overheads increases over the network and also become heavy. In such cases, the network traffic which itself is included in the inference over the channel, results in the data loss over the channel. To overcome this problem, there is a requirement of some efficient and accurate approach to perform the resource sharing among number of requesting users. Such an approach is presented in this research work. In this paper we presented the work, a prioritization approach has been proposed to divide the different kind of signals into n number of categories. Each category is assigned by a definite priority level. The parameters to decide the prioritization factor are also important. In this work, different parameters such as noise and distortion factor, modulation approaches are implemented to get a high throughput. So, the prioritization is assigned based on the distortion level or the modulation level. The next step is to allocate of the free spectrum slot to the higher priority requesting signal, which is based on the best available multiple allocate (BAMA) scheduling scheme. The allocation is done dynamically in this work. The results are presented in terms of better and optimized power level required as the noise or distortion increases over the channel in power spectral density graph.