Search

Your search keyword '"waveform and air-interface"' showing total 2 results
Start Over Descriptor "waveform and air-interface"
2 results on '"waveform and air-interface"'

1. Multi-Slot Spectrum Auction in Heterogeneous Networks Based on Deep Feedforward Network

Author

Feng Zhao, Yuyi Zhang, and Qiang Wang

Subjects
Deep feedforward network, dynamic spectrum auction, heterogeneous networks, multi-slot, small cell, waveform and air-interface, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

A spectrum auction is a promising approach with respect to efficiently allocating spectrum among unlicensed users. In this paper, we study the spectrum auction based on the waveform and air-interface of wireless users, the interests of the channel for the auction, and the interference they suffered during communication as well as their economic capability. How to make the analysis and the integration of such multiple factors is a key problem for multi-slot spectrum auction. To address the problem, we adopt the deep feedforward network algorithm to perform waveform and air-interface data analysis and integration for multi-slot spectrum auction. Simulation results are presented to verify the effectiveness of the proposed algorithm in the small cell network. Our approach could be used to 5G where heterogeneous wireless networks will be applied extensively and spectrum auction decision is made based on deep learning and different user patterns.

Published
2018
Full Text
View/download PDF

2. Multi-Slot Spectrum Auction in Heterogeneous Networks Based on Deep Feedforward Network

Author

Qiang Wang, Feng Zhao, and Yuyi Zhang

Subjects
General Computer Science, Computer science, Distributed computing, 02 engineering and technology, heterogeneous networks, Deep feedforward network, 0202 electrical engineering, electronic engineering, information engineering, waveform and air-interface, Wireless, General Materials Science, Spectrum auction, business.industry, Wireless network, dynamic spectrum auction, General Engineering, small cell, 020206 networking & telecommunications, multi-slot, Key (cryptography), 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, 5G, Heterogeneous network, Communication channel
Abstract

A spectrum auction is a promising approach with respect to efficiently allocating spectrum among unlicensed users. In this paper, we study the spectrum auction based on the waveform and air-interface of wireless users, the interests of the channel for the auction, and the interference they suffered during communication as well as their economic capability. How to make the analysis and the integration of such multiple factors is a key problem for multi-slot spectrum auction. To address the problem, we adopt the deep feedforward network algorithm to perform waveform and air-interface data analysis and integration for multi-slot spectrum auction. Simulation results are presented to verify the effectiveness of the proposed algorithm in the small cell network. Our approach could be used to 5G where heterogeneous wireless networks will be applied extensively and spectrum auction decision is made based on deep learning and different user patterns.

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results