Improving Performance of High Throughput Wireless Access Networks - An Experience in Learning
Author:
Affiliation:
1. Institute for Advancing Intelligence, TCG Centres for Research and Education in Science and Technology, India and Department of Information Technology, Jadavpur University, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3491003.3493331
Reference6 articles.
1. Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey
2. SmartLA: Reinforcement learning-based link adaptation for high throughput wireless access networks
3. Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax
4. A Deep Probabilistic Control Machinery for Auto-Configuration of WiFi Link Parameters
5. Raja Karmakar , Samiran Chattopadhyay , and Sandip Chakraborty . 2020. An Online Learning Approach for Auto Link-Configuration in IEEE 802.11ac Wireless Networks. Computer Networks 181 (Nov . 2020 ). https://doi.org/10.1016/j.comnet.2020.107426 10.1016/j.comnet.2020.107426 Raja Karmakar, Samiran Chattopadhyay, and Sandip Chakraborty. 2020. An Online Learning Approach for Auto Link-Configuration in IEEE 802.11ac Wireless Networks. Computer Networks 181 (Nov. 2020). https://doi.org/10.1016/j.comnet.2020.107426
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