Background:
The importance of this paper is to achieve maximum spectrum efficiency
and proper channel allotment between Primary and Secondary User. The licensed and unlicensed users
gets promoted as the channel allotment is properly carried out. To improve energy capability and
spectral proficiency consider energy collecting cognitive radio systems to update both energy feasibility
and spectral viability. Energy Harvesting Provides possibility of sharing energy in wireless
networks which improves the performance of channel capacity.
Methods:
In this paper an Token Passing algorithm is proposed that switches the channels between
Primary User and Secondary User. The energy efficiency decision is taken according to when primary
user is idle or not. When the primary user is idle the secondary user cannot harvest any energy
and when the primary channel is occupied the secondary channel harvest energy from primary user
so that the harvested energy will be used by the secondary user during channel allotment. This proposed
algorithm provides energy harvesting and spectrum efficiency.
Results:
The result shows that the most extraordinary achievable throughput R (eh) of the energy
harvesting cognitive radio. The State Transition will move from busy to idle and idle to busy which
is represented as S0 and S1. The other parameters are Sensing Energy es, Sampling frequency fs,
Primary Signal which accepts a noise SNR γp. As Token Passing Algorithm provides tokens for
primary and secondary user it takes lesser time and achieves better throughput than the FDMA and
suboptimal algorithm.
Conclusion:
This paper achieves the maximum spectrum efficiency and energy harvesting by
properly allotting spectrum for both primary and secondary user. The primary user and secondary
user and spectrum management perform the channel allotment efficiently through the idle and busy
state and Token Passing Algorithm does energy harvesting. An efficient scheme is developed for allocating
energy in energy harvesting cognitive radio systems.
On the Asymptotic Throughput of the $k$-th Best Secondary User Selection in Cognitive Radio Systems
