Real-Time Positioning Based on Millimeter Wave Device to Device Communications
Copyright policy )Real-Time Positioning Based on Millimeter Wave Device to Device Communications
Current generation mobile wireless communication networks are not suitable for real-time positioning applications because timing information is not readily available. Fifth generation (5G) cellular networks provide device to device real-time communications which can be used for real-time positioning. Millimeter-wave (mmWave) transmission is regarded as a key technology in 5G networks. In this paper, several 73-GHz mmWave waveforms are investigated. A new threshold selection algorithm for energy detector-based ranging is proposed which employs a dynamic threshold based on an artificial neural network. The positioning performance using this algorithm with mmWave waveforms is investigated.
- China University of Petroleum, Beijing China (People's Republic of)
- West Virginia University Institute of Technology United States
- West Virginia University United States
- University of Victoria Canada
- China University of Petroleum, East China China (People's Republic of)
Position measurement, device to device, Electrical engineering. Electronics. Nuclear engineering, ranging, artificial neural networks, 5G, millimeter wave technology, TK1-9971
Position measurement, device to device, Electrical engineering. Electronics. Nuclear engineering, ranging, artificial neural networks, 5G, millimeter wave technology, TK1-9971
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