TCP performance improvement in wireless networks with cooperative communications and network coding

Author(s):  
Yifei Wei ◽  
Mei Song ◽  
F. Richard Yu
Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.


2014 ◽  
Vol 46 ◽  
pp. 166-181 ◽  
Author(s):  
Muhammad Zubair Farooqi ◽  
Salma Malik Tabassum ◽  
Mubashir Husain Rehmani ◽  
Yasir Saleem

2010 ◽  
Vol 17 (3) ◽  
pp. 60-67 ◽  
Author(s):  
Xiangming Li ◽  
Tao Jiang ◽  
Shuguang Cui ◽  
Jianping An ◽  
Qian Zhang

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