Hi,

We have been working on wireless communication network optimization using ML techniques, where we employ all kinds of ML branches, such as supervised learning, unsupervised learning, and reinforcement learning.

In particular, in the link below, you can find a work that we have conducted for IoT networks, where the connectivity and data processing decisions are made intelligently:

https://www.researchgate.net/publication/326064328_Energy-Aware_Smart_Connectivity_for_IoT_Networks_Enabling_Smart_Ports

Moreover, the following link directs you to the work that focuses on predictive mobility management:

https://www.researchgate.net/publication/330448088_A_novel_deep_learning_driven_low-cost_mobility_prediction_approach_for_5G_cellular_networks_The_case_of_the_ControlData_Separation_Architecture_CDSA

Another example could be QoS aware dynamic spectrum access for cognitive radio networks:

https://www.researchgate.net/publication/333303705_Novel_QoS-aware_Proactive_Spectrum_Access_Techniques_for_Cognitive_Radio_using_Machine_Learning

Lastly, our book related to wireless sensor networks, in which you can find some ML applications for WSNs, is in press now and will be out soon.

Hope these would be of any help.

Regards

Hi,

We have been working on wireless communication network optimization using ML techniques, where we employ all kinds of ML branches, such as supervised learning, unsupervised learning, and reinforcement learning.

In particular, in the link below, you can find a work that we have conducted for IoT networks, where the connectivity and data processing decisions are made intelligently:

https://www.researchgate.net/publication/326064328_Energy-Aware_Smart_Connectivity_for_IoT_Networks_Enabling_Smart_Ports

Moreover, the following link directs you to the work that focuses on predictive mobility management:

https://www.researchgate.net/publication/330448088_A_novel_deep_learning_driven_low-cost_mobility_prediction_approach_for_5G_cellular_networks_The_case_of_the_ControlData_Separation_Architecture_CDSA

Another example could be QoS aware dynamic spectrum access for cognitive radio networks:

https://www.researchgate.net/publication/333303705_Novel_QoS-aware_Proactive_Spectrum_Access_Techniques_for_Cognitive_Radio_using_Machine_Learning

Lastly, our book related to wireless sensor networks, in which you can find some ML applications for WSNs, is in press now and will be out soon.

Hope these would be of any help.

Regards

Hi! Yes, one of my research projects involve utilizing the Wi-Fi Channel State Information (CSI) and applying advanced signal processing and machine learning techniques to this, to detect human activities, fall detection of elderly, localizing, couting people, etc. I have listed some publications on my profile, if you're interested.

Thanks you dear Metin Ozturk I've read all you links and have appreciated your works. Thank you and congrats.

Thank you dear Tahmid Chowdhury . Yes your works are intersting really. I'll read your papers in your profile and give you feedback,sure

Dear Mohammad Amin Motamedi , many thanks to you. Your response helps me a lot