Active-Load Assisted Symbiotic Radio System in Cognitive Radio Network

In this paper, we consider a spectrum-sharing cognitive radio network (CRN), in which the secondary user (SU) is an active-load assisted symbiotic radio (SR) system. Specifically, the SU transmitter (SU-Tx) exploits multiple antennas to simultaneously support the secondary transmission from the SU-T...

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Bibliographic Details
Published in:2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) pp. 1 - 5
Main Authors: Long, Ruizhe, Liang, Ying-Chang, Pei, Yiyang, Larsson, Erik G.
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2020
Series:International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Subjects:
active-load assisted backscatter device
active-load assisted symbiotic radio system
alternating optimization based method
Array signal processing
Backscatter
Cognitive radio
concave programming
Decoding
Interference
iterative methods
Modulation
multiple antennas
nonconvex problem
PU-Rx
radio networks
radio spectrum management
radiofrequency interference
spectrum-sharing cognitive radio network
SR system
SU rate maximization problem
SU receiver
SU transmitter
SU-Rx
SU-Tx
Symbiosis
Symbiotic radio
Transmit beamforming
ISBN:9781728154794, 1728154790, 9781728154787, 1728154782
ISSN:1948-3252
Online Access:Get full text
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Summary:In this paper, we consider a spectrum-sharing cognitive radio network (CRN), in which the secondary user (SU) is an active-load assisted symbiotic radio (SR) system. Specifically, the SU transmitter (SU-Tx) exploits multiple antennas to simultaneously support the secondary transmission from the SU-Tx to the SU receiver (SU-Rx) and the backscatter transmission from the active-load assisted backscatter device (BD) to the SU-Rx. As a result, the PU receiver (PU-Rx) is interfered by not only the SU-Tx but also the BD. For such a scenario, the SR system needs to design the transmit beamforming at the SU-Tx and the amplification gain at the BD to balance two conflicting goals, namely, the rate maximization for SU and the interference control to PU-Rx. We formulate an SU rate maximization problem under its own transmit-power constraint, the interference-power constraint as well as some practical constraints introduced by the SR system. This non-convex problem is solved by an alternating optimization based method, which iteratively optimizes the beamforming vector and transmit power at the SU-Tx, and the amplification gain at the BD. Simulation results show that the proposed method outperforms the equal-gain allocation method.
ISBN:9781728154794
1728154790
9781728154787
1728154782
ISSN:1948-3252
DOI:10.1109/SPAWC48557.2020.9154299