Beamforming optimization for full-duplex cooperative cognitive radio networks

This paper considers the problem of beamforming optimization in a cognitive cooperative energy harvesting network, in which the secondary transmitter (ST) harvests energy from the primary transmitter (PT) and relays the information for the primary user (PU) with amplify-and-forward (AF) relay protoc...

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Published in:2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) pp. 1 - 5
Main Authors: Shiyang Hu, Zhiguo Ding, Qiang Ni, Yi Yuan
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2016
Subjects:
Array signal processing
beamforming optimization
cooperative cognitive radio networks
Energy harvesting
Optimization
Protocols
Receiving antennas
Recycling
Relays
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Abstract This paper considers the problem of beamforming optimization in a cognitive cooperative energy harvesting network, in which the secondary transmitter (ST) harvests energy from the primary transmitter (PT) and relays the information for the primary user (PU) with amplify-and-forward (AF) relay protocol. When the channel of the primary system is affected with deep fading or shadowing effects, the ST can assist the primary information transmission. It is particularly useful to employ the energy harvesting protocol to avoid that the ST does not have enough energy to assist the PU. Based on the self-energy recycling relay protocol, we study the beamforming optimization problem. We develop a semidefinite programming (SDP) relaxation method to solve the proposed problem. We also use SDP and one-dimension (1-D) optimization to solve the beamforming optimization based on a time-switching relaying protocol (TSR) as a benchmark. The simulation results are presented to verify that the self-energy recycling protocol achieves a significant rate gain compared to the TSR protocol and the power-splitting relaying (PSR) protocol.
AbstractList This paper considers the problem of beamforming optimization in a cognitive cooperative energy harvesting network, in which the secondary transmitter (ST) harvests energy from the primary transmitter (PT) and relays the information for the primary user (PU) with amplify-and-forward (AF) relay protocol. When the channel of the primary system is affected with deep fading or shadowing effects, the ST can assist the primary information transmission. It is particularly useful to employ the energy harvesting protocol to avoid that the ST does not have enough energy to assist the PU. Based on the self-energy recycling relay protocol, we study the beamforming optimization problem. We develop a semidefinite programming (SDP) relaxation method to solve the proposed problem. We also use SDP and one-dimension (1-D) optimization to solve the beamforming optimization based on a time-switching relaying protocol (TSR) as a benchmark. The simulation results are presented to verify that the self-energy recycling protocol achieves a significant rate gain compared to the TSR protocol and the power-splitting relaying (PSR) protocol.
Author Qiang Ni
Shiyang Hu
Zhiguo Ding
Yi Yuan
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  surname: Zhiguo Ding
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  organization: Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
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  surname: Qiang Ni
  fullname: Qiang Ni
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  organization: Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
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  surname: Yi Yuan
  fullname: Yi Yuan
  email: y.yuan3@lancaster.ac.uk
  organization: Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK
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Snippet This paper considers the problem of beamforming optimization in a cognitive cooperative energy harvesting network, in which the secondary transmitter (ST)...
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SubjectTerms Array signal processing
beamforming optimization
cooperative cognitive radio networks
Energy harvesting
Optimization
Protocols
Receiving antennas
Recycling
Relays
Title Beamforming optimization for full-duplex cooperative cognitive radio networks
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