Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Lokman Sboui; Hakim Ghazzai; Zouheir Rezki; Mohamed-Slim Alouini

doi:10.1109/TCOMM.2016.2599520

Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

Lokman Sboui, Hakim Ghazzai, Zouheir Rezki, Mohamed-Slim Alouini

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). We derive the optimal power allocation that maximizes the TWR achievable SU sum- rate while respecting the total power budget and the relay power constraints. We also analyze the case in which the relay is able to optimize its gain matrix structure to enhance the SU sum-rate. In the numerical results, we quantify the sum-rate gain of using the SA in the TWR CR and we show that the SU sum-rate is very limited when the relay power is low or the PU power and its resulting interference are high. In addition, we optimize the relay gain using an iterative algorithm and compare between different relay matrix structures.

Original language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	IEEE Transactions on Communications
Volume	64
Issue number	10
DOIs	https://doi.org/10.1109/TCOMM.2016.2599520
State	Published - Aug 11 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the Qatar National Research
Fund (a member of Qatar Foundation) under NPRP Grant
NPRP 6-001-2-001

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10.1109/TCOMM.2016.2599520

https://repository.kaust.edu.sa/bitstream/10754/620946/1/10.1109-TCOMM.2016.2599520.pdf

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title = "Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems",

abstract = "In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). We derive the optimal power allocation that maximizes the TWR achievable SU sum- rate while respecting the total power budget and the relay power constraints. We also analyze the case in which the relay is able to optimize its gain matrix structure to enhance the SU sum-rate. In the numerical results, we quantify the sum-rate gain of using the SA in the TWR CR and we show that the SU sum-rate is very limited when the relay power is low or the PU power and its resulting interference are high. In addition, we optimize the relay gain using an iterative algorithm and compare between different relay matrix structures.",

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AU - Ghazzai, Hakim

AU - Rezki, Zouheir

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 6-001-2-001

PY - 2016/8/11

Y1 - 2016/8/11

N2 - In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). We derive the optimal power allocation that maximizes the TWR achievable SU sum- rate while respecting the total power budget and the relay power constraints. We also analyze the case in which the relay is able to optimize its gain matrix structure to enhance the SU sum-rate. In the numerical results, we quantify the sum-rate gain of using the SA in the TWR CR and we show that the SU sum-rate is very limited when the relay power is low or the PU power and its resulting interference are high. In addition, we optimize the relay gain using an iterative algorithm and compare between different relay matrix structures.

AB - In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). We derive the optimal power allocation that maximizes the TWR achievable SU sum- rate while respecting the total power budget and the relay power constraints. We also analyze the case in which the relay is able to optimize its gain matrix structure to enhance the SU sum-rate. In the numerical results, we quantify the sum-rate gain of using the SA in the TWR CR and we show that the SU sum-rate is very limited when the relay power is low or the PU power and its resulting interference are high. In addition, we optimize the relay gain using an iterative algorithm and compare between different relay matrix structures.

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Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

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