PSO of Neural Networks to Predict Busy Times of Cellular Traffic for Assignment to TV Idle Channels by Cognitive Radio
Loading...
Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Kenya has identified radio spectrum as a key
driver in its development. Yet, globally, radio spectrum is
inefficiently utilized due to ITU’s static spectrum allocation.
In Kenya, mobile operators are running short of bandwidth
due to deployment of 4G services, which enable superfast
mobile broadband/internet. In the USA and UK, FCC and
Ofcom, respectively, have made effort to allow opportunistic
‘poaching’ of licensed spectrum as long as communication of
licensed user is not interfered with. This has focused
research on use of cognitive radio, which would use its
sensor networks to establish which TV channels are idle in
order to allocate them temporarily to cellular networks.
Enabling the cognitive radio to predict which channels shall
lie idle at what times introduces better planning and more
temporally-efficient allocation. This study explores the
viability of predicting the times of mobile telephony traffic
jam for a mobile service operator with poor QoS rating
within a cell of perennial mobile traffic jam in order to
explore whether those times can map well with the TV
spectrum holes. The times of the TV spectrum holes shall be
determined in a later study.
Description
Keywords
Cognitive Radio, Mobile Telephony Traffic, NN, PSO
Citation
Winston, O., Thomas, A., Patrick, O., & William, O. (2013, November). PSO of neural networks to predict busy times of cellular traffic for assignment to TV idle channels by cognitive radio. In 2013 European Modelling Symposium (pp. 48-52). IEEE. DOI 46 10.1109/EMS.2013.8