Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/613332
Title: Quantum-Aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems
Authors: Panagiotis Botsinis;Dimitrios Alanis;Zunaira Babar;Hung Viet Nguyen;Daryus Chandra;Soon Xin Ng;Lajos Hanzo
subject: vector perturbation|quantum computing|Channel quantization|orthogonal frequency division multiplexing|particle swarm optimization|Dürr-Høyer algorithm|Grover’s quantum search algorithm|computational complexity|multiuser transmission
Year: 2016
Publisher: IEEE
Abstract: With the research on implementing a universal quantum computer being under the technological spotlight, new possibilities appear for their employment in wireless communications systems for reducing their complexity and improving their performance. In this treatise, we consider the downlink of a rank-deficient, multi-user system and we propose the discrete-valued and continuous-valued quantum-assisted particle swarm optimization (PSO) algorithms for performing vector perturbation precoding, as well as for lowering the required transmission power at the base station (BS), while minimizing the expected average bit error ratio (BER) at the mobile terminals. We use the minimum BER criterion. We show that the novel quantum-assisted precoding methodology results in an enhanced BER performance, when compared with that of a classical methodology employing the PSO algorithm, while requiring the same computational complexity in the challenging rank-deficient scenarios, where the number of transmit antenna elements at the BS is lower than the number of users. Moreover, when there is limited channel state information feedback from the users to the BS, due to the necessary quantization of the channel states, the proposed quantum-assisted precoder outperforms the classical precoder.
Description: 
URI: http://localhost/handle/Hannan/159019
http://localhost/handle/Hannan/613332
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

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Title: Quantum-Aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems
Authors: Panagiotis Botsinis;Dimitrios Alanis;Zunaira Babar;Hung Viet Nguyen;Daryus Chandra;Soon Xin Ng;Lajos Hanzo
subject: vector perturbation|quantum computing|Channel quantization|orthogonal frequency division multiplexing|particle swarm optimization|Dürr-Høyer algorithm|Grover’s quantum search algorithm|computational complexity|multiuser transmission
Year: 2016
Publisher: IEEE
Abstract: With the research on implementing a universal quantum computer being under the technological spotlight, new possibilities appear for their employment in wireless communications systems for reducing their complexity and improving their performance. In this treatise, we consider the downlink of a rank-deficient, multi-user system and we propose the discrete-valued and continuous-valued quantum-assisted particle swarm optimization (PSO) algorithms for performing vector perturbation precoding, as well as for lowering the required transmission power at the base station (BS), while minimizing the expected average bit error ratio (BER) at the mobile terminals. We use the minimum BER criterion. We show that the novel quantum-assisted precoding methodology results in an enhanced BER performance, when compared with that of a classical methodology employing the PSO algorithm, while requiring the same computational complexity in the challenging rank-deficient scenarios, where the number of transmit antenna elements at the BS is lower than the number of users. Moreover, when there is limited channel state information feedback from the users to the BS, due to the necessary quantization of the channel states, the proposed quantum-assisted precoder outperforms the classical precoder.
Description: 
URI: http://localhost/handle/Hannan/159019
http://localhost/handle/Hannan/613332
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7515210.pdf22.83 MBAdobe PDFThumbnail
Preview File
Title: Quantum-Aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems
Authors: Panagiotis Botsinis;Dimitrios Alanis;Zunaira Babar;Hung Viet Nguyen;Daryus Chandra;Soon Xin Ng;Lajos Hanzo
subject: vector perturbation|quantum computing|Channel quantization|orthogonal frequency division multiplexing|particle swarm optimization|Dürr-Høyer algorithm|Grover’s quantum search algorithm|computational complexity|multiuser transmission
Year: 2016
Publisher: IEEE
Abstract: With the research on implementing a universal quantum computer being under the technological spotlight, new possibilities appear for their employment in wireless communications systems for reducing their complexity and improving their performance. In this treatise, we consider the downlink of a rank-deficient, multi-user system and we propose the discrete-valued and continuous-valued quantum-assisted particle swarm optimization (PSO) algorithms for performing vector perturbation precoding, as well as for lowering the required transmission power at the base station (BS), while minimizing the expected average bit error ratio (BER) at the mobile terminals. We use the minimum BER criterion. We show that the novel quantum-assisted precoding methodology results in an enhanced BER performance, when compared with that of a classical methodology employing the PSO algorithm, while requiring the same computational complexity in the challenging rank-deficient scenarios, where the number of transmit antenna elements at the BS is lower than the number of users. Moreover, when there is limited channel state information feedback from the users to the BS, due to the necessary quantization of the channel states, the proposed quantum-assisted precoder outperforms the classical precoder.
Description: 
URI: http://localhost/handle/Hannan/159019
http://localhost/handle/Hannan/613332
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7515210.pdf22.83 MBAdobe PDFThumbnail
Preview File