Performance evaluation of uncoordinated beamforming over cognitive radio network
This paper presents the two strategies of jointlyoptimized uncoordinated beamforming algorithms for cognitive radio networks. Here, we evaluate the performance of signal-tointerference-plus-noise ratio (SINR) and achievable sum rate of the system when both primary and secondary users transmit c...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers, Inc.
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/49501/ http://irep.iium.edu.my/49501/ http://irep.iium.edu.my/49501/ http://irep.iium.edu.my/49501/1/49501.pdf http://irep.iium.edu.my/49501/2/49501_Scopus.pdf |
| Summary: | This paper presents the two strategies of jointlyoptimized
uncoordinated beamforming algorithms for cognitive
radio networks. Here, we evaluate the performance of signal-tointerference-plus-noise
ratio (SINR) and achievable sum rate of
the system when both primary and secondary users transmit
concurrently over the same spectrum. We present the optimum
weight design to maximize the SINR and achievable sum rate
for both primary and cognitive link under the condition that
the cross interference at both receivers are totally nullified.
The interference cancellation is done at the secondary user and
no coordination between the primary and secondary users is
required as we employed uncoordinated beamforming in the
networks. The fairness of the SINR performance in primary and
cognitive link when the primary user employing maximal ratio
combining beamformer while the secondary user employing
discrete search and gradient algorithm is discussed using
different number of transmit and receive antennas. Simulation
results demonstrate that employing gradient algorithm at the
cognitive link is optimum in terms of maximizing SINR and
provides a higher rate compared to the discrete search. |
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