Enhancing Coexistence, Quality of Service, and Energy Performance in Dynamic Spectrum Access Networks
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Dynamic Spectrum Access (DSA) is an upcoming wireless technology
with the potential to alleviate spectrum-usage inefficiency from the
current static spectrum allocation model of wireless communication.
However, DSA technology is still in its infancy. There are several
technical challenges in achieving effective DSA. This research work
identifies problems associated with existing DSA schemes along three
key dimensions—coexistence, quality of service (QoS), and energy.
This thesis proposes novel and practical system-oriented solutions in
order to address the identified shortcomings with traditional DSA.
“Awareness-cum-adaption” is the central theme across the proposed
methods. First, the thesis focuses on the generic DSA coexistence problem.
It presents a dual-mode DSA operation scheme featuring joint sensing and
transmission scheduling in order to enable safe and efficient
time-domain incumbent-unlicensed coexistence on a licensed channel.
A prototype called Spectrum-Conscious WiFi (SpeCWiFi), is also
developed. Second, it provides important insights into the QoS impact
of DSA through the case-study of a consumer DSA-based wireless
network. Third, it presents the Context-Aware Spectrum Agility
(CASA) optimization strategy, to address the DSA's QoS issues from a
device-centric perspective. Fourth, to tackle the QoS problems at the
network level, it proposes a network service framework called DSA
Synchronization (DSASync). DSASync consists of algorithms based on
buffering and traffic-shaping to effectively manage end-to-end
connections in DSA networks. Finally, this thesis explores the
energy cost of DSA through an empirical analysis, and proposes the
Dynamic Energy Management for DSA (DEMD) scheme to reduce its