Fragmented Spectrum Allocation in Cognitive Radio Networks for Energy Efficiency and Improved Throughput
In the fragmented spectrum allocation, wireless spectrum of various frequency bands is fragmented which are spectrally distant from each other. Spectrum allocation is done at the cognitive base station (CBS) in the cognitive radio network which allocates frequency at each frame beginning. Scheduling of frequency considers channel switching cost and channel capacities. This work focus on the problem of scheduling. To this aim, proposed an energy efficient heuristic scheduler, which greedily assigns an idle frequency to the cognitive radio that attains highest energy efficiency. As energy efficient heuristic scheduler (EEHS) cannot provide fairness in the spectrum allocation and may fall short of throughput efficiency. We then present a spectrum allocation based on minimum energy consumption with throughput guarantees scheduler and throughput maximization energy guarantee scheduler was proposed under non homogeneous condition. Energy and throughput of the scheduler were analyzed which provides fairness in resource allocation.
Kokila V and Aruna Jeeva Bharathi B