Scalable millimeter wave wireless networks

Millimeter wave (mmWave) technology promises to revolutionize wireless networks. The huge abundance of bandwidth available at the mmWave frequencies (above 24 GHz) allows us to build ultra-low latency and high-data rate wireless links. This opens up completely new application domains, such as multi-user wireless VR/AR for education and professional training, large-scale robotic factory automation based on real-time video streams, and multiplayer gaming. Additionally, the availability of large bandwidth also enables very high resolution sensing and imaging capabilities, since sensing resolution is directly proportional to signal bandwidth. However, leveraging these capabilities of mmWave networks to build communication and sensing systems at scale is challenging due to the unique characteristics of mmWave signals that set it apart from legacy wireless technologies. As a result, traditional wireless networking architectures do not translate well to mmWave networks and cannot exploit the opportunities made available by the millimeter-wave modality. This shift in paradigm that accompanies mmWave signals is also the reason why past work has been able to demonstrate the performance leaps with mmWave only in the context of single communication links, and in controlled and small scale setups. The central question that this dissertation asks is – ”How can we design and build millimeter-wave systems that allow it to scale to realistic large-scale deployments with multiple heterogenous nodes, while also expanding the capabilities of these next-generation systems?” This dissertation investigates the design of such scalable millimeter-wave communication and sensing systems for a number of different application domains such as Wireless LANs, Massive Multicore Processors, High Performance Computing (HPC), and IoT localization and tracking. We propose new networking architectures and protocols optimized for mmWave wireless links, that can naturally scale to many nodes in the network while providing seamless multi-Gbps connectivity. We also build mmWave sensing systems that can scale hyper-precise sensing and localization to large networks with ubiquitously deployed heterogenous nodes, without requiring any additional infrastructure support or modifications. Finally, we also show how mmWave could transform new application domains such as high-performance computing and address the practical scalability challenges in these new fields. This dissertation introduces hardware-software co-designed systems for mmWave networks that can seamlessly scale to very large deployments, and we build proofof-concept testbeds to demonstrate the efficacy of our proposed systems and present our learnings and insights from these real world deployments.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Jog, Suraj

Contributors dc:contributor

• Hassanieh, Haitham
• Chandra, Ranveer
• Choudhury, Romit Roy
• Katti, Sachin
• Torrellas, Josep

• Wireless Networking
• Rf Sensing Systems
• Millimeter-wave Technology
• 5g
• 6g
• Next-generation Wireless Networks

Statement dc:rights

• Copyright 2023 Suraj Jog

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/120143

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F120143