| dc.description.abstract | The access to information anywhere and anytime is becoming a necessity in our
daily life. Wireless technologies are expected to provide ubiquitous access to information
and to support a broad range of emerging applications, such as multimedia
streaming and video conferencing. The need to support the explosive growth in wireless
traffic requires new tools and techniques that maximize the spectrum efficiency,
as well as minimize delays and power consumption.
This dissertation aims at novel approaches for the design and analysis of efficient
and reliable wireless networks. We plan to propose efficient solutions that leverage
user collaboration, peer-to-peer data exchange, and the novel technique of network
coding. Network coding improves the performance of wireless networks by exploiting
the broadcast nature of the wireless spectrum. The new techniques, however,
pose significant challenges in terms of control, scheduling, and mechanism design.
The proposed research will address these challenges by developing novel network
controllers, packet schedulers, and incentive mechanisms that would encourage the
clients to collaborate and contribute resources to the information transfer.
Our contributions can be broadly divided into three research thrusts: (1) stochastic
network coding; (2) incentive mechanism design; (3) joint coding and scheduling
design. In the first thrust we consider a single-relay network and propose an optimal
controller for the stochastic setting as well as a universal controller for the on-line
setting. We prove that there exist an optimal controller for the stochastic setting
which is stationary, deterministic, and threshold type based on the queue length. For
the on-line setting we present a randomized algorithm with the competitive ratio of
e/(e-1). In the second thrust, we propose incentive mechanisms for both centralized
and distributed settings. In the third thrust, we propose joint coding and scheduling
algorithms for time-varying wireless networks.
The outcomes of our research have both theoretical and practical impact. We design
and validate efficient algorithms, as well as provide insights on the fundamental
properties of wireless networks. We believe these results are valuable for the industry
as they are instrumental for the design and analysis of future wireless and cellular
networks that are more efficient and robust. | en |
