Cisco System Inc., San Jose, US
May. 2019 - Aug. 2019
Project: Developed DeepPHY, a deep neural network based receiver for IEEE 802.11ax WLAN Systems
Proposed DeepPHY, a DNN based architecture, to replace conventional channel equalizer and phase error correction for 802.11ax WLAN systems
Evaluated DeepPHY with synthetic datasets under various scenarios and working modes covering almost all the real user cases in terms of bit error rate (BER) and packet error rate (PER)
Developed a prototype using the state-of-art CISCO IEEE 802.11ax AP and USRP and validated DeepPHY with real-world data