Enhancing the performance of Wi-Fi system by exploiting physical layer information
Yaxiong Xie · 2016
Wi-Fi network has been ubiquitous nowadays and has changed our lifestyle.As a communication system, Wi-Fi delivers more than 50% of IP traffic.Consequently, the demand for higher transmission capacity has been increasing continuously and rapidly.The wireless spectrum for Wi-Fi communication is, however, finite.Therefore, one important research direction is to fully utilize the limited resources and at the same time improve the transmission throughput for Wi-Fi network.On the other hand, a lot of emerging applications, e.g., indoor navigation, human tracking, device free gesture control, are built on top of existing commercial Wi-Fi infrastructures to provide a variety of functionalities except communication.All those applications rely on Wi-Fi's capability of sensing the physical world: strong sensing capability will significantly improve the performance of existing applications and extend the scope of potential applications.Therefore, another important research direction is to enhance the sensing capability of existing Wi-Fi infrastructure.This thesis focuses on these two directions and exploits rich information in the PHY layer to build a better Wi-Fi system that has higher communication speed and stronger sensing capability.We observe that modern wideband Wi-Fi communication has unevenly distributed bit BERs in a packet because of the frequency selective fading.Based on such an observation, we propose UnPKT, a system that can unequally protect Wi-Fi packet bits according to their BERs.By doing so, we can best match the effective transmission rate of each bit to channel condition, and improve throughput.We derive an accurate relationship between the frequency selective channel condition and the decoded packet bit BERs, all the way through the complex 802.11PHY layer.A cluster-based protection scheme is proposed to protect packet bits using different MAC-layer FEC redundancies based on bit-wise BER estimation to augment wide band 802.11 transmissions.UnPKT is software-implementable and compatible with the existing 802.11 architecture.Extensive evaluations based on Atheros 9580 NICs and GNU-Radio platforms show i First and foremost, I would like to express my sincere appreciation to my PHD supervisor, Dr. Mo Li, for his support, patience and guidance.When join WANDS as fresh PHD student, I got no experience on doing research and lack the knowledge base to conduct cutting-edge research.I really want to thank Dr. Li for the career advice he gives me which helps me find my real research interests, the research skills he teaches me that facilitate my capability to carry out impactful research and the patience and freedom he put on me that allow me to establish my knowledge base on wireless communication before I can come up with my own idea to update the stat-of-the-art of the specific research domain.Dr. Li is also a nice guy who really cares for his student.I feel lucky to have such a mentor with me during the long journey pursuing