TY - JOUR
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 -