scholarly journals Statement of retraction: traffic prediction and transmission scheduling of artificial intelligence-driven cognitive wireless networks

2021 ◽  
pp. 1-1
Keyword(s):  
Artificial Intelligence ◽  
Wireless Networks ◽  
Traffic Prediction ◽  
Transmission Scheduling ◽  
Cognitive Wireless Networks

Effective Cache-Enabled Wireless Networks: An Artificial Intelligence- and Recommendation-Oriented Framework

2020 ◽  
pp. 0-0
Author(s):  
Yaru Fu ◽  
Howard H. Yang ◽  
Khai Nguyen Doan ◽  
Chenxi Liu ◽  
Xijun Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Wireless Networks

scholarly journals Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey

2021 ◽  
Vol 2 ◽  
pp. 1015-1040
Author(s):  
Mohamed-Amine Lahmeri ◽  
Mustafa A. Kishk ◽  
Mohamed-Slim Alouini
Keyword(s):  
Artificial Intelligence ◽  
Wireless Networks

Queueing models for cognitive wireless networks with sensing time of secondary users

2021 ◽  
Author(s):  
Tuan Phung-Duc ◽  
Kohei Akutsu ◽  
Ken’ichi Kawanishi ◽  
Osama Salameh ◽  
Sabine Wittevrongel
Keyword(s):  
Wireless Networks ◽  
Queueing Models ◽  
Secondary Users ◽  
Cognitive Wireless Networks ◽  
Sensing Time

scholarly journals Multi-Band Spectrum Allocation Algorithm Based on First-Price Sealed Auction

2017 ◽  
Vol 17 (1) ◽  
pp. 104-112 ◽  
Author(s):  
Zijuan Shi ◽  
Gaofeng Luo
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Economic Efficiency ◽  
Low Complexity ◽  
Spectrum Allocation ◽  
Band Spectrum ◽  
Auction Mechanism ◽  
Allocation Algorithm ◽  
Cognitive Wireless Networks ◽  
Allocation Process

Abstract Auction is often applied in cognitive wireless networks due to its fairness properties and efficiency. To solve the allocation issues of cognitive wireless network inamulti-band spectrum, multi-item auction mechanism and models were discussed in depth. Multi-item highest price sealed auction was designed for cognitive wireless networks’multi-band spectrum allocation algorithm. This algorithm divided the spectrum allocation process into several stages which was along with low complexity. Experiments show that the algorithm improves the utilization of spectrum frequency, because it takes into account the spectrum owner’s economic efficiency and the users’equity.

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