Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction
نویسندگان
چکیده
منابع مشابه
Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications
This paper discusses a machine-learning (ML)based future received signal strength (RSS) prediction scheme using depth camera images for millimeter-wave (mmWave) networks. The scheme provides the future RSS prediction of any mmWave links within the camera’s view, including links where nodes are not transmitting frames. This enables network controllers to conduct network operations before line-of...
متن کاملEfficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs
Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are particularly reliant on extended perception horizon facilitated by sensory data exchange between CAVs. Existing technologies such as the Dedicated Short Range Communications (DSRC) are ill-equipped to provide advanced...
متن کاملDeep Reinforcement Learning for Improving Downlink mmWave Communication Performance
We propose a method to improve the DL SINR for a single cell indoor base station operating in the millimeter wave frequency range using deep reinforcement learning. In this paper, we use the deep-Q reinforcement learning models to arrive at optimal sequences of actions to improve the cellular network SINR value from a starting to a feasible target value. While deep reinforcement learning has be...
متن کاملSignal Losses and Allowable Optical Received Power Prediction for Optical Wireless Communication Links
Infrared wireless communication possesses two main attractive advantages over its radio frequency counterpart, namely the abundance of unregulated spectrum in 1.3 μm–1.55 μm region and the ease with which the infrared radiation can be confined. Integrating microwave electronics and optics, it is possible to provide wideband communication services but it is well known that the signal level in an...
متن کاملPrediction of Received Signal Power for Mobile Cellular Systems
In this subproject, prediction of signal power received from a mobile station by a base station is investigated. The motivation for this work arises from the power control requirements essential to Direct Sequence Code Division Multiple Access (DS-CDMA) systems. The results are also applicable to other non-frequency-hopping systems as well. This paper gives a short overview to some main aspects...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Communications Letters
سال: 2020
ISSN: 1089-7798,1558-2558,2373-7891
DOI: 10.1109/lcomm.2020.2978824