Complicated radio resource management,e.g.,handover condition,will trouble the user in non-terrestrial networks due to the impact of high mobility and hierarchical layouts which co-exist with terrestrial networks or v...Complicated radio resource management,e.g.,handover condition,will trouble the user in non-terrestrial networks due to the impact of high mobility and hierarchical layouts which co-exist with terrestrial networks or various platforms at different altitudes.It is necessary to optimize the handover strategy to reduce the signaling overhead and im⁃prove the service continuity.In this paper,a new handover strategy is proposed based on the convolutional neural network.Firstly,the handover process is modeled as a directed graph.Suppose a user knows its future signal strength,then he/she can search for the best handover strategy based on the graph.Secondly,a convolutional neural network is used to extract the underlying regularity of the best handover strategies of different users,based on which any user can make near-optimal handover decisions according to its historical signal strength.Numerical simulation shows that the proposed handover strategy can effi⁃ciently reduce the handover number while ensuring the signal strength.展开更多
The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This ...The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This paper conducts multi-band channel measurements at 6.5 GHz,10.2 GHz,11.8 GHz,and 14.2 GHz to investigate the frequency and elevation angle dependencies of CL.To address the limited physical interpretability of existing standard models,a semi-deterministic approach is proposed based on the single knife-edge diffraction theory.The modeling results and analysis show that the proposed model has lower prediction errors than the standard model in complex environments with building and vegetation obstructions,with a simple formula that effectively captures the variations in CL with frequency and elevation angle.This contributes valuable insights for the design and implementation of NTN communication systems.展开更多
文摘Complicated radio resource management,e.g.,handover condition,will trouble the user in non-terrestrial networks due to the impact of high mobility and hierarchical layouts which co-exist with terrestrial networks or various platforms at different altitudes.It is necessary to optimize the handover strategy to reduce the signaling overhead and im⁃prove the service continuity.In this paper,a new handover strategy is proposed based on the convolutional neural network.Firstly,the handover process is modeled as a directed graph.Suppose a user knows its future signal strength,then he/she can search for the best handover strategy based on the graph.Secondly,a convolutional neural network is used to extract the underlying regularity of the best handover strategies of different users,based on which any user can make near-optimal handover decisions according to its historical signal strength.Numerical simulation shows that the proposed handover strategy can effi⁃ciently reduce the handover number while ensuring the signal strength.
基金supported by the National Natural Science Foundation of China(No.62341128)National Natural Science Foundation of China under Grant 62525101,National Natural Science Foundation of China(No.62571059)+1 种基金Natural Science Foundation of Beijing-Xiaomi Innovation Joint Foundation(L243002)Beijing University of Posts and Telecommunications China Mobile Research Institute Joint Innovation Institute.
文摘The rapid advancement of 6G communication has drawn significant attention to non-terrestrial networks(NTN),where accurate modeling of clutter loss(CL)is essential for efficient deployment and system optimization.This paper conducts multi-band channel measurements at 6.5 GHz,10.2 GHz,11.8 GHz,and 14.2 GHz to investigate the frequency and elevation angle dependencies of CL.To address the limited physical interpretability of existing standard models,a semi-deterministic approach is proposed based on the single knife-edge diffraction theory.The modeling results and analysis show that the proposed model has lower prediction errors than the standard model in complex environments with building and vegetation obstructions,with a simple formula that effectively captures the variations in CL with frequency and elevation angle.This contributes valuable insights for the design and implementation of NTN communication systems.
