Wireless Networks for Communication and Sensing

The purpose of this thesis is to design and analyze the performance of wireless networks used for communication and sensing. In the case of static wireless networks, we study the impact of queue-length-based (QLB) scheduling algorithms on quality of service (QoS) and fairness. In particular, for cellular downlink networks, we show that QLB policies outperform greedy policies in the presence of QoS constraints, and when used in conjunction with congestion control, we also show that QLB algorithms lead to fair resource allocation among competing heterogeneous users. In the case of networks with rapidly moving mobiles, we show that coding can be used to optimally exploit the multi-user diversity provided by mobility. Finally, we consider two models of sensor networks: one where the network is viewed as a function computer and the other where it is viewed as a distributed database containing measurements. For the function computation problem, we propose efficient algorithms for computing symmetric functions over noisy channels. For the data storage problem, we develop distributed algorithms for efficient query processing.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Ying, Lei

Contributors dc:contributor

• Srikant, R.
• Dullerud, Geir E.

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3290445

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81051