Ming Li Dissertation Announcement 05/13/14 10:00 A.M.


Dear faculty, graduate and undergraduate students, You are cordially invited to my Ph.D. dissertation oral defense.

Dissertation Title: Multihop Cognitive Cellular Networks: Optimization, Security and Privacy

When: Tuesday, May 13, 2014, 10:00 AM

Where: Simrall 228

Candidate: Ming Li

Degree: Ph.D., Electrical and Computer Engineering

Committee:

Dr. Pan Li
Assistant Professor of Electrical and Computer Engineering
(Major Professor and Director of Dissertation )

Dr. James E. Fowler
Professor of Electrical and Computer Engineering
(Committee Member)

Dr. Jenny Q. Du
Professor of Electrical and Computer Engineering
(Committee Member)

Dr. Erdem Topsakal
Associate Professor of Electrical and Computer Engineering
(Committee Member)

Abstract:
The exploding growth of wireless devices like smartphones and tablets has driven the emergence of various applications, which has exacerbated the congestion over current wireless networks. Noticing the limitation of current wireless network architectures and the static spectrum policy, in this dissertation, we study a novel hybrid network architecture, called multihop cognitive cellular network (MC^2N), taking good advantage of both local available channels and frequency spatial reuse to increase the throughput of the network, enlarge the coverage area of the base station, and increase the network scalability. Although offering significant benefits, the MC^2N also brings unique research challenges associated with network architecture, modeling, cross-layer design, privacy, and security issues.

In this dissertation, we aim to address these challenging and fundamental issues in MC^2Ns. Our contributions in this dissertation are multifold. First, we consider multi-radio multi-channel in MC^2Ns and propose a multi-radio multi-channel multi-hop cognitive cellular network (M^3C^2N). Under the proposed architecture, we then investigate the minimum length scheduling problem by exploring joint frequency allocation, link scheduling, and routing. Second, energy consumption minimization problem is studied for MC^2Ns under Physical Model. Third, we introduce device-to-device (D2D) communications among cellular users in MC^2Ns by bypassing the base stations (BSs) and utilizing local available spectrums, and hence potentially further alleviate network congestion. A secondary spectrum auction market is constructed to dynamically allocate the available licensed spectrums. Fourth, we propose realtime detection, defense, and penalty schemes to identify, defend against, and punish MAC layer selfish misbehavior, respectively, in multi-hop IEEE 802.11 networks, noticing that most traditional detection approaches are for wireless local area networks only, and rely on a large amount of historical data to perform statistical detection. Last, a new location-based rewarding system, called LocaWard, is proposed, where mobile users can collect location-based tokens from token distributors, and then redeem their gathered tokens at token collectors for beneficial rewards. Besides, we also develop a security and privacy aware location-based rewarding protocol for the LocaWard system.

Best Regards,
Ming Li