Interference Mitigation Using Particle Swarm Optimization Algorithm in Television White Space
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Description
Television white space is a promising technology that addresses the issue of spectrum
scarcity in wireless communication. Recent years have seen a rise in the number of studies
focusing on the propagation characteristics of the Television White Space (TVWS), which is
the frequency range between 54MHz and 790MHz. However, interference is one of the
significant issues that limit the utilization of available spectrum in TV bands, lower the
quality of services among cognitive(secondary) users, and cause harmful destruction to
licensed users. In literature, a lot of work has been done to address the challenge of
interference in TVWS networks but many of them focused on interference between primary
and secondary users in order to protect the licensed (primary) users while few did among
secondary users. As a result, in this work, we employ a particle swarm optimization
algorithm to optimize the spectrum and reduce interference among secondary users.
Furthermore, we compare the performance of particle swarm optimization with the artificial
bee colony algorithm. Simulation results obtained show that particle swarm optimization
outperforms the artificial bee algorithm thus indicting its strength in reducing interference
among secondary users.
Keywords
T Technology (General), TK Electrical engineering. Electronics Nuclear engineering