A proactive power estimation for Low Latency in cognitive radio network

Abstract

Cognitive Radio is an emerging field of research that has the potential to cause a global transformation in the present day radio technology. The present day radio spectrum is allocated and divided between licensed and unlicensed frequencies. This policy being rigid has resulted in some frequency bands growing in scarcity and leaving a large portion of the radio spectrum still unused. Cognitive Radio provides a flexible and efficient mechanism for use of the entire radio spectrum. This framework allows wireless devices without dedicated frequency and power allocation (Secondary Users) to intelligently access portions of the entire radio spectrum without interfering the licensed users (Primary Users). This paper presents four integrated techniques for optimum allocation of transmission power and spectrum to a secondary user with an aim to avoid interference to silent primary receivers of the frequencies being reused by the cognitive network and increase coexistence. Two power allocation algorithms viz. Location Aware Power Allocation and Fixed Power Feasibility Check Allocation and two channel allocation algorithms viz. Master Slave Channel Allocation and Distributed Channel Allocation have been implemented and compared for their interference to primary receivers, channel utilization, average number of back offs and delay in transmission. Finally, a dynamic power allocation framework, PROPELLer (Proactive Power Estimation for Low Latency) implementing the same algorithms along with a dynamic channel allocation mechanism has been proposed.