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

Dong Hyoun Na; Ki Hong 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, Ki Hong Park, Young Chai Ko, Mohamed Slim Alouini

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

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
Pages (from-to)	2330-2334
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	11
DOIs	https://doi.org/10.1109/LWC.2022.3202641
Publication status	Published - 2022 Nov 1

Keywords

band allocation
beamforming
Cognitive systems
HAPs
satellite communications
sum-rate maximization

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/LWC.2022.3202641

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.",

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AU - Na, Dong Hyoun

AU - Park, Ki Hong

AU - Ko, Young Chai

AU - Alouini, Mohamed Slim

PY - 2022/11/1

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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.

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

Abstract

Keywords

ASJC Scopus subject areas

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