Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/40767
Title: Biologically-inspired spectrum sharing for cognitive radio
Authors: Li, Guang Fu.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2010
Abstract: Nowadays, spectrum access of the wireless networks is generally regulated by governments via a fixed spectrum assignment policy. However, the tremendous increase in the spectrum access of the wireless technologies challenges the limited spectrum bands. Since cognitive radio enables users to detect and transmit over the temporarily unused spectrum bands, it is seen as one of the revolutionary techniques for better spectrum utilization in the future. However, one of the most challenging tasks for cognitive radio is spectrum sharing. The biological task allocation model has been adopted to resolve the problem of spectrum sharing in cognitive radio networks. This algorithm is named BIOlogically-inspired spectrum sharing (BIOSS) in cognitive radio networks (CRN). BIOSS enables the unlicensed users to self-manage the most suitable channels for communication without any coordination among the secondary users. In this project, the performance evaluation is done by simulating the BIOSS protocol using MATLAB. Furthermore, the BIOSS algorithm is modified to achieve higher spectrum utilization. The new algorithm enables a cognitive radio to select the appropriate channels to transmit, thus optimizing the use of spectral resource. The comparison between the modified BIOSS and its original version clearly indicates that a significant improvement in performance can be achieved with the modified algorithm.
URI: http://hdl.handle.net/10356/40767
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
e_B5160-091.pdf
  Restricted Access
1.4 MBAdobe PDFView/Open

Page view(s)

221
Updated on Nov 25, 2020

Download(s)

4
Updated on Nov 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.