Fairness adaptive resource allocation in OFDMA networks

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CovenanteeKungliga Tekniska högskolan
Document typeMaster thesis
Date2010-06
Rights accessOpen Access
Abstract
This thesis work reviews contributions regarding dynamic resource
allocation problems in Orthogonal Frequency Division Multiplexing
(OFDM) systems, where various system metrics can be improved by
periodically reassigning sub-carriers and transmit power to terminals
depending on their current channel state. The following three classical
problems have been reviewed: a) the sum rate maximization problem, b)
the max min rate problem, and c) the sum rate maximization with rate
proportionalities. System capacity is maximized in (a), by providing
optimal spectral efficiency, but also poor system fairness index. In (b) and
(c), fairness is very high but the capacity and spectral efficiency have been
limited due to the fair policy; so the system capacity versus fairness trade
off has been highlighted. The novel contribution of this thesis work is the
formulation of a new problem which includes a system fairness target
constraint enabling operators the ability to adjust fairness level.
Operators, according to their needs, can get the most of spectral efficiency
while providing a certain level of fairness among users. Several novel
results regarding the new problem of system capacity maximization with a
system fairness target constraint and various comparisons of different
sub-optimal fairness-adaptive algorithm families are presented in this
work. From the simulation results, including metrics such as system
capacity, user fairness, user satisfaction and computational demand, it
was possible to conclude about the most efficient fairness-adaptive
approach from the perspective of both the user and the operator.
Description
Projecte realitzat en el marc d'un programa de mobilitat amb el Royal Institute of Technology (KTH)
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