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

Author(s):  
Yaru Fu ◽  
Howard H. Yang ◽  
Khai Nguyen Doan ◽  
Chenxi Liu ◽  
Xijun Wang ◽  
...  
2021 ◽  
Vol 2 ◽  
pp. 1015-1040
Author(s):  
Mohamed-Amine Lahmeri ◽  
Mustafa A. Kishk ◽  
Mohamed-Slim Alouini

2019 ◽  
Vol 26 (3) ◽  
pp. 83-89 ◽  
Author(s):  
Kai Lin ◽  
Chensi Li ◽  
Daxin Tian ◽  
Ahmed Ghoneim ◽  
M. Shamim Hossain ◽  
...  

2018 ◽  
Vol 210 ◽  
pp. 03009
Author(s):  
Anup Kar ◽  
Aradhana Misra ◽  
Kandarpa Kumar Sarma ◽  
Nikos E. Mastorakis

With rise in device complexity and transmission rates, reliability in data recovery has become another critical issue requiring costly and computationally demanding mechanism. The popularity of artificial intelligence (AI) and its ubiquitousness have established the usefulness of design of data recovery schemes where device level complexity is less. Lower device complexity is being ensured by the use of AI driven data recovery. In this work, we focus on the design of such a mechanism where traditional process are replaced by a neuro-computing structure. The advantage is lower levels of device complexity but incorporation of a training latency. Experimental results have established the reliability of the proposed system.


2017 ◽  
Vol 10 (26) ◽  
pp. 1-5
Author(s):  
Shabir Ahmad ◽  
Rana Muhammad Nadeem ◽  
Bilal Ehsan ◽  
Mohib Ullah ◽  
Abu Buker Siddique ◽  
...  

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