Aerospace integrated networks innovation for empowering 6G: A survey and future challenges
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
Evolution of non-terrestrial networks from 5G to 6G: A survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …
recent technological advancements and manufacturing cost reduction opened up myriad …
Integrated satellite-terrestrial networks toward 6G: Architectures, applications, and challenges
With the increasing global communication demands and the development of Internet of
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Contour stella image and deep learning for signal recognition in the physical layer
The rapid development of communication systems poses unprecedented challenges, eg,
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
Deep reinforcement learning assisted federated learning algorithm for data management of IIoT
The continuous expanded scale of the industrial Internet of Things (IIoT) leads to IIoT
equipments generating massive amounts of user data every moment. According to the …
equipments generating massive amounts of user data every moment. According to the …
Artificial intelligence for satellite communication: A review
F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …
covered areas, service ubiquity, and service scalability. However, several challenges must …
Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hopping satellite systems
Due to the non-uniform geographic distribution and time-varying characteristics of the
ground traffic request, how to make full use of the limited beam resources to serve users …
ground traffic request, how to make full use of the limited beam resources to serve users …
Automatic modulation classification based on deep residual networks with multimodal information
P Qi, X Zhou, S Zheng, Z Li - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is becoming increasingly important for its
fundamental role in dynamic spectrum access, which can support 5G wireless …
fundamental role in dynamic spectrum access, which can support 5G wireless …
Blockchain-aided network resource orchestration in intelligent internet of things
The proliferation of users and data traffic poses substantial pressure on resource
management in the Internet of Things (IoT). In addition to beneficially allocating scarce …
management in the Internet of Things (IoT). In addition to beneficially allocating scarce …
Machine learning-based resource allocation in satellite networks supporting internet of remote things
Satellite networks have been regarded as a promising architecture for supporting the
Internet of remote things (IoRT) due to their advantages of wide coverage and high …
Internet of remote things (IoRT) due to their advantages of wide coverage and high …