Optimized Guard Band Allocation for TN and NTN Coexistence Using Reinforcement Learning

Efficient interference management is crucial for the coexistence of terrestrial networks and non-terrestrial networks. This paper proposes an approach to optimize frequency band allocation by determining the optimal guard bandwidth, reducing interference, and improving coexistence between terrestrial networks and non-terrestrial networks. Simulation results offer guidelines for setting appropriate guard bandwidth, ensuring effective terrestrial networks and non-terrestrial networks coexistence.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827795
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimized Guard Band Allocation for TN and NTN Coexistence Using Reinforcement Learning

Soyi Jung, Jae Won Jang
Wireless Communication Networks Research
article

Optimized Guard Band Allocation for TN and NTN Coexistence Using Reinforcement Learning

Soyi Jung, Jae Won Jang
article en

Abstract

Efficient interference management is crucial for the coexistence of terrestrial networks and non-terrestrial networks. This paper proposes an approach to optimize frequency band allocation by determining the optimal guard bandwidth, reducing interference, and improving coexistence between terrestrial networks and non-terrestrial networks. Simulation results offer guidelines for setting appropriate guard bandwidth, ensuring effective terrestrial networks and non-terrestrial networks coexistence.

Ajou University (KR)
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
Openalex Percentile: Top 70%
Wireless Communication Networks Research
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