Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Modulation rate adaptation in urban and vehicular environments: Cross-layer implementation and experimental evaluation
J Camp, E Knightly - Proceedings of the 14th ACM international …, 2008 - dl.acm.org
Accurately selecting modulation rates for time-varying channel conditions is critical for
avoiding performance degradations due to rate overselection when channel conditions …
avoiding performance degradations due to rate overselection when channel conditions …
Predicting the path loss of wireless channel models using machine learning techniques in mmwave urban communications
S Aldossari, KC Chen - 2019 22nd International Symposium on …, 2019 - ieeexplore.ieee.org
The classic wireless communication channel modeling is performed using Deterministic and
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …
HiveMind: Towards cellular native machine learning model splitting
The increasing processing load of today's mobile machine learning (ML) application
challenges the stringent computation budget of mobile user equipment (UE). With the wide …
challenges the stringent computation budget of mobile user equipment (UE). With the wide …
Blockage prediction using wireless signatures: Deep learning enables real-world demonstration
Overcoming the link blockage challenges is essential for enhancing the reliability and
latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks …
latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks …
FadeNet: Deep learning-based mm-wave large-scale channel fading prediction and its applications
Accurate prediction of the large-scale channel fading is fundamental to planning and
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
Artificial intelligence for 6G networks: Technology advancement and standardization
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
A framework for end-to-end evaluation of 5G mmWave cellular networks in ns-3
The growing demand for ubiquitous mobile data services along with the scarcity of spectrum
in the sub-6 GHz bands has given rise to the recent interest in developing wireless systems …
in the sub-6 GHz bands has given rise to the recent interest in developing wireless systems …
Transport layer performance in 5G mmWave cellular
The millimeter wave (mmWave) bands are likely to play a significant role in next generation
cellular systems due to the possibility of very high throughput thanks to the availability of …
cellular systems due to the possibility of very high throughput thanks to the availability of …
Machine learning at the edge: A data-driven architecture with applications to 5G cellular networks
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy
the ultra-low latency demand of future applications. In this paper, we argue that such …
the ultra-low latency demand of future applications. In this paper, we argue that such …