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|Title: ||Competition, cooperation and cognition in wireless resource allocation|
|Other Titles: ||Wu xian zi yuan fen pei zhong de jing zheng, he zuo yu ren zhi|
|Authors: ||Yang, Bo (楊博)|
|Department: ||Department of Manufacturing Engineering and Engineering Management|
|Degree: ||Doctor of Philosophy|
|Issue Date: ||2009|
|Publisher: ||City University of Hong Kong|
|Subjects: ||Wireless communication systems.|
|Notes: ||CityU Call Number: TK5103.2 .Y325 2009|
9, ii, 154 leaves : ill. 30 cm.
Thesis (Ph.D.)--City University of Hong Kong, 2009.
Includes bibliographical references (leaves -151)
|Abstract: ||Efficient wireless resource allocation is becoming increasingly important with
the growing demand of wireless services. Wireless devices in a battery-limited ad hoc
network use a shared resource for communication. Thus, an energy-efficient Medium
Access Control (MAC) is necessary to control the contention among different links
to decrease intra-network interference and maintain efficient and fair resource allocation.
The coupled variables due to interference across wireless links challenge the
MAC design. In addition, to mitigate the crowded spectrum occupancy in unlicensed
frequency bands, the forthcoming paradigm shifts from fixed spectrum allocation
to dynamic spectrum access with the support of cognitive radio technology. Then
inter-network interference and Quality of Service (QoS) issues should be addressed in
cognitive radio networks. However, the QoS provision and interference limit are two
conflicting constraints. How to deal with these conflicting constraints with competitive
users is also a great challenge. For the wideband wireless services, relay-based
cooperative communication combined with the Orthogonal Frequency-Division Multiple
Access (OFDMA) can further increase the network capacity by exploiting spatial
diversity and multi-user diversity. Efficient approach with a high network capacity
at the lowest cost is desired to solve the integer/combinatorial optimization problem
in cooperative communications. This thesis addresses the wireless resource allocation
problems from single-channel to multi-channel networks with methods involving
game theory and optimization.
In the case of intra-network interference management, the fairness, collision, and
energy efficiency issues in MAC design are studied within game theoretic framework.
The first is a cooperative game theoretic MAC, where each user adapts its channel access strategy towards a stable Pareto optimal Nash equilibrium (NE). In the second
non-cooperative MAC, each user updates its channel access strategy based on its
local information and a Pareto dominant NE can be achieved. We further design
rate control and MAC jointly to maximize the network lifetime. Then a cross-layer
algorithm is developed to arrive at a global optimal solution to the formulated nonconvex
In the case of inter-network spectrum sharing, secondary users’ QoS provision
with interference temperature constraint is formulated as a non-convex optimization
problem. A joint random access and power control is proposed to find the global
optimal solution to the formulated problem with cooperative users. We also investigate
the issue of competitive multiple users’ access to the shared spectrum based on
measured signal to interference ratio and interference temperature. Then a channelaware
access algorithm is developed, which guarantees that a unique fixed point can
be reached. Furthermore, it can be interpreted as a non-cooperative game. We then
extend the non-cooperative game model to incorporate more general utility functions
and cost functions. A distributed iteration algorithm is proved to converge to the
unique NE with both continuous and discrete manners.
In the case of multi-channel network, we focus on the cooperative resource allocation
for a uplink cellular network, with OFDMA technology. To satisfy the heterogeneous
rate requirement of each user while considering the fairness and efficiency
as performance indices, the bargaining theory is applied to allocate resource at a
relay node to multiple source nodes. Motivated by the fact that each source’s achievable
rate on individual subcarrier is limited by decodability constraint, we apply the
Kalai-Smorodinsky bargaining (KSB) theory to allocate resource at the relay fairly.
By employing time-division techniques, the scheduling and power allocation problem
is solved efficiently and simply, while KSB solution fairness criterion is maintained.
To improve system efficiency, the Nash bargaining (NB) problem is formulated to
maximize NB solution fairness criterion by exploiting multiuser diversity. A simple
yet efficient algorithm is derived to assign subcarrier and power at the relay for
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b2340602|
|Appears in Collections:||MEEM - Doctor of Philosophy |
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