Beamforming and Band Allocation for Satellite and High-Altitude Platforms Cognitive Systems

Dong-Hyoun Na; Kihong Park; Young-Chai Ko; Mohamed-Slim Alouini

doi:10.1109/lwc.2022.3202641

Beamforming and Band Allocation for Satellite and High-Altitude Platforms Cognitive Systems

Dong-Hyoun Na, Kihong Park, Young-Chai Ko, Mohamed-Slim Alouini

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

4 Scopus citations

Abstract

In this letter, we consider a cognitive radio network consisting of broadcast satellite service (BSS), high-density fixed-satellite service (HDFSS), and high-altitude platforms (HAPs) systems. The spectrum utilization within a satellite beam coverage is increased by deploying extra HAPs in the pre-determined hot-spot regions to existing cognitive systems in which the BSS and HDFSS share frequency bands. Since the multiple network nodes simultaneously employ the same frequency band, there exists a challenge to efficiently mitigate the interference between them. Therefore, we propose an iterative precoding and band allocation algorithm for multi-antenna HAPs to maximize the network data rate. In addition, we present other low-complexity techniques and compare them through simulation results.

Original language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	IEEE Wireless Communications Letters
DOIs	https://doi.org/10.1109/lwc.2022.3202641
State	Published - Aug 29 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: This work was supported in part by the KAUST Office of Sponsored Research and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) (2021-0-00260, Research on LEO Inter-Satellite Links).

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

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10.1109/lwc.2022.3202641

https://repository.kaust.edu.sa/bitstream/10754/680849/1/Beamforming_and_Band_Allocation_for_Satellite_and_High-Altitude_Platforms_Cognitive_Systems.pdf

Cite this

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title = "Beamforming and Band Allocation for Satellite and High-Altitude Platforms Cognitive Systems",

abstract = "In this letter, we consider a cognitive radio network consisting of broadcast satellite service (BSS), high-density fixed-satellite service (HDFSS), and high-altitude platforms (HAPs) systems. The spectrum utilization within a satellite beam coverage is increased by deploying extra HAPs in the pre-determined hot-spot regions to existing cognitive systems in which the BSS and HDFSS share frequency bands. Since the multiple network nodes simultaneously employ the same frequency band, there exists a challenge to efficiently mitigate the interference between them. Therefore, we propose an iterative precoding and band allocation algorithm for multi-antenna HAPs to maximize the network data rate. In addition, we present other low-complexity techniques and compare them through simulation results.",

author = "Dong-Hyoun Na and Kihong Park and Young-Chai Ko and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: This work was supported in part by the KAUST Office of Sponsored Research and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) (2021-0-00260, Research on LEO Inter-Satellite Links).",

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doi = "10.1109/lwc.2022.3202641",

language = "English (US)",

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journal = "IEEE Wireless Communications Letters",

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T1 - Beamforming and Band Allocation for Satellite and High-Altitude Platforms Cognitive Systems

AU - Na, Dong-Hyoun

AU - Park, Kihong

AU - Ko, Young-Chai

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: This work was supported in part by the KAUST Office of Sponsored Research and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) (2021-0-00260, Research on LEO Inter-Satellite Links).

PY - 2022/8/29

Y1 - 2022/8/29

N2 - In this letter, we consider a cognitive radio network consisting of broadcast satellite service (BSS), high-density fixed-satellite service (HDFSS), and high-altitude platforms (HAPs) systems. The spectrum utilization within a satellite beam coverage is increased by deploying extra HAPs in the pre-determined hot-spot regions to existing cognitive systems in which the BSS and HDFSS share frequency bands. Since the multiple network nodes simultaneously employ the same frequency band, there exists a challenge to efficiently mitigate the interference between them. Therefore, we propose an iterative precoding and band allocation algorithm for multi-antenna HAPs to maximize the network data rate. In addition, we present other low-complexity techniques and compare them through simulation results.

AB - In this letter, we consider a cognitive radio network consisting of broadcast satellite service (BSS), high-density fixed-satellite service (HDFSS), and high-altitude platforms (HAPs) systems. The spectrum utilization within a satellite beam coverage is increased by deploying extra HAPs in the pre-determined hot-spot regions to existing cognitive systems in which the BSS and HDFSS share frequency bands. Since the multiple network nodes simultaneously employ the same frequency band, there exists a challenge to efficiently mitigate the interference between them. Therefore, we propose an iterative precoding and band allocation algorithm for multi-antenna HAPs to maximize the network data rate. In addition, we present other low-complexity techniques and compare them through simulation results.

UR - http://hdl.handle.net/10754/680849

UR - https://ieeexplore.ieee.org/document/9869727/

U2 - 10.1109/lwc.2022.3202641

DO - 10.1109/lwc.2022.3202641

M3 - Article

SN - 2162-2337

SP - 1

EP - 1

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

ER -

Beamforming and Band Allocation for Satellite and High-Altitude Platforms Cognitive Systems

Abstract

Bibliographical note

ASJC Scopus subject areas

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