What are the current trends and developments in adaptive interference cancellation research?

2 AIC challenges

AIC is limited in performance and applicability due to several challenges, such as the complexity and computational cost of adaptive filters for high-dimensional and non-linear interference models. There is a trade-off between convergence speed and steady-state error, which affects the ability to track and cancel fast-changing interference. Additionally, adaptive filters are sensitive and not robust to variations in signal and interference characteristics, such as power, frequency, phase, or direction. Finally, reference signals or training data for adaptive filters are necessary for accurate interference estimation and cancellation; however, these may not be available or of good quality.

3 AIC developments

AIC research has been advancing in various directions to overcome challenges and exploit opportunities of modern communication systems. This includes the use of AI and ML techniques to enhance the performance and efficiency of adaptive filters, such as deep neural networks, reinforcement learning, or online learning. Additionally, AIC can be integrated with other techniques and technologies, such as beamforming, cooperative communication, cognitive radio, or software-defined radio, to achieve better interference management and resource allocation. Moreover, AIC can be explored in new applications and domains like satellite communication, underwater communication, radar communication, or internet of things (IoT), where interference is a major issue.

4 AIC benefits

AIC can provide several advantages for communication systems and users, such as improved signal quality and reliability, enhanced security and privacy, and increased spectrum efficiency and capacity. These benefits can enable higher data rates, lower error rates, longer battery life, prevention of eavesdropping, jamming, or spoofing attacks, and the ability for more users, devices, or services to share the same frequency band.

5 AIC examples

Applying AIC to various communication scenarios and systems has yielded promising results and potential. For instance, it can reduce co-channel interference from other base stations or users in cellular communication, mitigate interference from other WLANs or devices that use the same unlicensed band in wireless local area network (WLAN), and suppress interference from intentional or unintentional jammers, or from multipath reflections in global positioning system (GPS).