An SDR implementation of WiFi receiver for mitigating multiple co-channel ZigBee interferers

Machine-to-Machine (M2M) communication is one of the vertical sectors that will benet from 5G communication systems, but today these systems are still dominated by technologies such as ZigBee and WiFi. An M2M scenario will experience dense deployment of ZigBee and WiFi nodes in order to route the data from one end to

the other. In the 2.4 GHz ISM band, both the technologies perform co-channel overlapped operation and hence face severe cross technology co-channel interference (CCI). In contrast to cellular systems, which solves the CCI by centralized coordination through the base station, addressing CCI in ISM band is non-trivial due to heterogeneous wireless technologies and lack of centralized coordination. In this work, we rst present interference mitigating receiver architectures for OFDM based WiFi using single and multiple antennas. Our single antenna work is based on the localized estimation of excess noise caused by single and multiple co-channel narrowband interferers and scaling the Log Likelihood Ratios (LLRs) of affected WiFi subcarriers. The simulation shows our method achieves a signicant gain in SNR compared to the conventional method for a given Packet Error Rate (PER) criterion. Next, we discuss Maximal Ratio Combiner with LLR scaling (MLSC), which is a multi-antenna extension to our previous work. The simulation shows MLSC achieves diversity gain apart from the gain in SNR. Further, we propose Soft Bit Maximal Ratio Combiner with LLR Scaling (SB-MLSC). SB-MLSC is an easy to implement version of MLSC. However, diversity combining in SB-MLSC is performed by combining the LLRs. Nonetheless, simulations show equivalence in performance by SB-MLSC and MLSC. Finally, as a signicant part of this work, we implemented all our methods using Software Dened Radio (SDR) and performed over-the-air (OTA) testing in the 2:4 GHz ISM band using standard WiFi and ZigBee frames. Results of OTA tests fall in complete agreement with our simulations indicating the practical applicability of our methods. Our methods apply to all the standards which are based on OFDM and face narrowband co-channel interference. Additionally, since our work focuses only on receiver side modications, they can be integrated with the existing infrastructure

with minimal modications.