Tan, Le Thanh
(2015).
Medium Access Control for Dynamic Spectrum Sharing in Cognitive Radio Networks.
Thèse.
Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en télécommunications, 257 p.
Résumé
The proliferation of wireless services and applications over the past decade has
led to the rapidly increasing demand in wireless spectrum. Hence, we have been
facing a critical spectrum shortage problem even though several measurements
have indicated that most licensed radio spectrum is very underutilized. These
facts have motivated the development of dynamic spectrum access (DSA) and
cognitive radio techniques to enhance the efficiency and flexibility of spectrum
utilization.
In this dissertation, we investigate design, analysis, and optimization issues for
joint spectrum sensing and cognitive medium access control (CMAC) protocol
engineering for cognitive radio networks (CRNs). The joint spectrum sensing
and CMAC design is considered under the interweave spectrum sharing paradigm
and different communications settings. Our research has resulted in four major
research contributions, which are presented in four corresponding main chapters
of this dissertation.
First, we consider the CMAC protocol design with parallel spectrum sensing for
both single-channel and multi-channel scenarios, which is presented in Chapter
5. The considered setting captures the case where each secondary user (SU) is
equipped with multiple transceivers to perform sensing and access of spectrum
holes on several channels simultaneously.
Second, we study the single-transceiver-based CMAC protocol engineering for
hardware-constrained CRNs, which is covered in Chapter 6. In this setting,
each SU performs sequential sensing over the assigned channels and access one
available channel for communication by using random access. We also investigate
the channel assignment problem for SUs to maximize the network throughput.
Third, we design a distributed framework integrating our developed CMAC protocol
and cooperative sensing for multi-channel and heterogeneous CRNs, which
is presented in details in Chapter 7. The MAC protocol is based on the p-persistent
carrier sense multiple access (CSMA) mechanism and a general cooperative
sensing adopting the a-out-of-b aggregation rule is employed. Moreover,
impacts of reporting errors in the considered cooperative sensing scheme are also
investigated.
Finally, we propose an asynchronous Full–Duplex cognitive MAC (FDC-MAC)
exploiting the full-duplex (FD) capability of SUs’ radios for simultaneous spectrum
sensing and access. The research outcomes of this research are presented in
Chapter 8. Our design enables to timely detect the PUs’ activity during transmission
and adaptive reconfigure the sensing time and SUs’ transmit powers to
achieve the best performance. Therefore, the proposed FDC–MAC protocol is
more general and flexible compared with existing FD CMAC protocols proposed
in the literature.
We develop various analytical models for throughput performance analysis of our
proposed CMAC protocol designs. Based on these analytical models, we develop
different efficient algorithms to configure the CMAC protocol including channel
allocation, sensing time, transmit power, contention window to maximize the
total throughput of the secondary network. Furthermore, extensive numerical
results are presented to gain further insights and to evaluate the performance of
our CMAC protocol designs. Both the numerical and simulation results confirm
that our proposed CMAC protocols can achieve efficient spectrum utilization and
significant performance gains compared to existing and unoptimized designs.
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