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Found 10 papers, 2 papers with code
Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers
As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR's power consumption is crucial.
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks
There is a lack of research on the analysis of per-user traffic in cellular networks, for deriving and following traffic-aware network management.
Interference management for coexisting Internet of Things networks over unlicensed spectrum
More specifically, we focus on two scenarios for channel access management: i) coordinated access, where the activity patterns of gateways and sensors are coordinated with neighbors, and ii) uncoordinated access, in which each gateway and its associated nodes work independently from the neighbor ones.
Reliability and Battery Lifetime Improvement for IoT Networks: Challenges and AI-powered solutions
Further, we investigate analytical expressions presenting performance of a centralized control scheme for adapting communication parameters of IoT devices, and compare the results with the results from the proposed distributed learning approach.
Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Here, we first present the major challenges in co-existence of terrestrial and drone communications by considering real geographical network data for Stockholm.
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
In this paper, we study the problem of network traffic traffic prediction and classification by employing standard machine learning and statistical learning time series prediction methods, including long short-term memory (LSTM) and autoregressive integrated moving average (ARIMA), respectively.
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches
Traffic prediction plays a vital role in efficient planning and usage of network resources in wireless networks.
Bitcoin Price Prediction: An ARIMA Approach
On the one hand, our empirical studies reveal that this simple scheme is efficient in sub-periods in which the behavior of the time-series is almost unchanged, especially when it is used for short-term prediction, e. g. 1-day.
Social and Information Networks Statistical Finance
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
The results further provide insights on the benefits of leveraging intelligent RRM, e. g. a 75% increase in data rate with respect to the conservative design approach for the scheduled traffic is achieved, while the 99. 99% reliability of both scheduled and nonscheduled traffic types is satisfied.
Grant-Free Radio Access for Short-Packet Communications over 5G Networks
Radio access management plays a vital role in delay and energy consumption of connected devices.
Information Theory Information Theory
