CapRadar: Real-time adaptive bandwidth prediction for dynamic wireless networks
With the emergence of 4G/5G cellular networks, mobile Internet is becoming increasingly
popular and numerous mobile applications have emerged, which puts higher demands on …
popular and numerous mobile applications have emerged, which puts higher demands on …
Deep learning enabled channel estimation for RIS-aided wireless systems
W Shen, Z Qin, A Nallanathan - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Channel Estimation is one of the essential tasks to realize a reconfigurable intelligent
surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication …
surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication …
Deep learning-based signal strength prediction using geographical images and expert knowledge
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …
optimization of mobile networks, and a necessity for future autonomous driving solutions …
A machine learning regression approach for throughput estimation in an IoT environment
The success of Internet of Things (IoT) has significantly increased the volume of data
generated by various smart applications. However, as many of these applications are …
generated by various smart applications. However, as many of these applications are …
Spectrum efficiency prediction for real-world 5g networks based on drive testing data
This paper studies the problem of predicting the spectrum efficiency (SE) for massive
multiple-input multiple-output (MIMO) empowered 5G networks based on the reference …
multiple-input multiple-output (MIMO) empowered 5G networks based on the reference …
A scalable protocol stack for IEEE 802.11 s-based advanced metering infrastructure networks
The utility companies and the researchers have been developing new applications and
communication protocols for the Smart Grid Advanced Metering Infrastructure (AMI) network …
communication protocols for the Smart Grid Advanced Metering Infrastructure (AMI) network …
$ QRTT $: Stateful Round Trip Time Estimation for Wireless Embedded Systems Using $ Q $-Learning
ABMA Al Islam, V Raghunathan - IEEE Embedded Systems …, 2012 - ieeexplore.ieee.org
Wireless embedded systems such as sensor nodes and smartphones highlight the
importance of reliable data transmission in their advanced applications. Such reliable …
importance of reliable data transmission in their advanced applications. Such reliable …
Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification
The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic …
Mitigating cross-technology interference in heterogeneous wireless networks based on deep learning
With the prosperity of Internet of Things, a large number of heterogeneous wireless devices
share the same unlicensed spectrum, leading to severe cross-technology interference (CTI) …
share the same unlicensed spectrum, leading to severe cross-technology interference (CTI) …
A machine learning approach for SNR prediction in 5G systems
K Saija, S Nethi, S Chaudhuri… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Channel State Information (CSI) feedback from the User Equipment (UE) on the uplink (UL)
channel is an integral part of the 5G-NR standard. It allows next-generation Node-B (gNB) to …
channel is an integral part of the 5G-NR standard. It allows next-generation Node-B (gNB) to …