THESIS
2011
xii, 82 pages : illustrations ; 30 cm
Abstract
During the past several decades, wireless communication has been one of the most
exciting and challenging research areas in the communication field. The performance
of most of nowday wireless networks has been ultimately limited by interference. For
example, cell-edge mobiles in multi-cell cellular systems suffer from severe inter-cell
co-channel interference (CCI) and have significant performance recessions. Similar
issues also exist in ad hoc networks, wireless local area networks (WLAN), cognitive
radio networks as well as many other networks. How to effectively allocate the radio
resource to combat with interference in wireless interference networks, especially in
multiple antenna wireless networks, has been an outstanding challenge in the design of wireless networks.
In th...[
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During the past several decades, wireless communication has been one of the most
exciting and challenging research areas in the communication field. The performance
of most of nowday wireless networks has been ultimately limited by interference. For
example, cell-edge mobiles in multi-cell cellular systems suffer from severe inter-cell
co-channel interference (CCI) and have significant performance recessions. Similar
issues also exist in ad hoc networks, wireless local area networks (WLAN), cognitive
radio networks as well as many other networks. How to effectively allocate the radio
resource to combat with interference in wireless interference networks, especially in
multiple antenna wireless networks, has been an outstanding challenge in the design of wireless networks.
In this thesis, we take a game theoretical approach to study the resource allocation
problem in multiple antenna interference networks. Specially, we focus on two typical
multiple antenna interference network scenarios, i.e., downlink power control in MIMO
space-time coded cellular systems and transmit covariance design in K-pair MIMO
interference channel. The first is the most representative example of the one-to-many
MIMO interference channel and the results can be easily extended to any space-time
coded one-to-many MIMO interference channel examples.
To exploit the heterogeneous path loss and shadowing effect between cell-edge and
cell-center mobiles and to mitigate the co-channel interference (CCI) at the cell-edge
mobiles, we propose a novel space-time coded overlaying scheme to serve multiple
cell-edge and cell-center mobiles simultaneously. The power allocation between cell-edge
and cell-center mobiles is formulated as a non-cooperative game. We study the
existence and uniqueness of the Nash Equilibrium (NE) in this game. We further
propose a low-complexity distributive power allocation algorithm which only relies on
the local channel statistics and has provable convergence to the NE in formulated
game.
The second is studied in the K-pair MIMO interference channel which can be
fitted in with a lot of applications like ad hoc networks. To effectively control the
interference generated at each transmitter, we consider the MIMO interference game
with additional rank constraints imposed on each transmitter's covariance. We study
the existence and uniqueness of the NE, the convergence of the best response dynamics
as well as how to determine the rank constraints of the MIMO interference game with
rank constraints in a holistic game theoretical framework.
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