Low-Complexity Robust Transmission Algorithm for IRS-Enhanced Cognitive Satellite-Aerial Networks
This paper proposes a downlink transmission scheme for intelligent reflecting surface (IRS) enhanced cognitive-satellite-aerial-network to support massive access of Internet-of-Things devices (IoTDs). By sharing the same frequency band with satellite network, the aerial network offers services for I...
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| Veröffentlicht in: | IEEE International Conference on Communications (2003) S. 6145 - 6150 |
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28.05.2023
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| Abstract | This paper proposes a downlink transmission scheme for intelligent reflecting surface (IRS) enhanced cognitive-satellite-aerial-network to support massive access of Internet-of-Things devices (IoTDs). By sharing the same frequency band with satellite network, the aerial network offers services for IoTDs having line-of-sight links through space division multiple access, and for IoTDs locating in blocked area via IRS-enhanced non-orthogonal multiple access. Assuming that only the imperfect channel state information is available, we formulate a transmit power minimization problem subject to the probabilistic constraints of the quality-of-service requirements for IoTDs, the co-channel interference power limitation, and unit-modulus requirement for IRS. To tackle this mathematically intractable problem, we propose a generalized zero-forcing based low-complexity robust transmission algorithm, integrating the second-order Taylor expansion and Bernstein-type inequality, to obtain a satisfactory performance while reducing the computational load. Finally, simulation results validate the effectiveness and superiority of the proposed robust algorithms compared to existing algorithms. |
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| AbstractList | This paper proposes a downlink transmission scheme for intelligent reflecting surface (IRS) enhanced cognitive-satellite-aerial-network to support massive access of Internet-of-Things devices (IoTDs). By sharing the same frequency band with satellite network, the aerial network offers services for IoTDs having line-of-sight links through space division multiple access, and for IoTDs locating in blocked area via IRS-enhanced non-orthogonal multiple access. Assuming that only the imperfect channel state information is available, we formulate a transmit power minimization problem subject to the probabilistic constraints of the quality-of-service requirements for IoTDs, the co-channel interference power limitation, and unit-modulus requirement for IRS. To tackle this mathematically intractable problem, we propose a generalized zero-forcing based low-complexity robust transmission algorithm, integrating the second-order Taylor expansion and Bernstein-type inequality, to obtain a satisfactory performance while reducing the computational load. Finally, simulation results validate the effectiveness and superiority of the proposed robust algorithms compared to existing algorithms. |
| Author | Zhao, Bai Cheng, Ming Xiao, Shengjie Lin, Min Wang, Jun-Bo Cheng, Julian |
| Author_xml | – sequence: 1 givenname: Bai surname: Zhao fullname: Zhao, Bai organization: College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China – sequence: 2 givenname: Min surname: Lin fullname: Lin, Min organization: College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China – sequence: 3 givenname: Shengjie surname: Xiao fullname: Xiao, Shengjie organization: College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China – sequence: 4 givenname: Ming surname: Cheng fullname: Cheng, Ming organization: College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China – sequence: 5 givenname: Jun-Bo surname: Wang fullname: Wang, Jun-Bo organization: Southeast University,National Mobile Communications Research Laboratory,Nanjing,China – sequence: 6 givenname: Julian surname: Cheng fullname: Cheng, Julian organization: School of Engineering, University of British Columbia,Kelowna,Canada |
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| Snippet | This paper proposes a downlink transmission scheme for intelligent reflecting surface (IRS) enhanced cognitive-satellite-aerial-network to support massive... |
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| SubjectTerms | Cognitive-satellite-aerial-network Intelligent reflecting surface Low complexity algorithm Minimization NOMA Non-orthogonal multiple access Quality of service Robust beam-forming Satellites Simulation System performance Taylor series |
| Title | Low-Complexity Robust Transmission Algorithm for IRS-Enhanced Cognitive Satellite-Aerial Networks |
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