UTILIZATION OF CHANNEL STATE INFORMATION FEEDBACK FOR INCREASING CAPACITY AND QUALITY ON OFDMA RADIO RESOURCES ALLOCATION
In studies that have been conducted on the radio resources allocation of the Orthogonal Frequency Division Multiple Access (OFDMA) system, almost all of them contribute to the algorithm for increasing spectral efficiency, throughput, fairness with lower complexity. As an input algorithm, used the...
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Format: | Dissertations |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/53184 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | In studies that have been conducted on the radio resources allocation of the
Orthogonal Frequency Division Multiple Access (OFDMA) system, almost all of
them contribute to the algorithm for increasing spectral efficiency, throughput,
fairness with lower complexity. As an input algorithm, used the channel state
information at the transmitter in the form of channel gain only and has not
discussed about improving the communication performance. There has been
research to improve it on multicarrier systems by rotate modulation process but it
is still open-loop.
In this study, we propose a new method for utilizing feedback on channel conditions
in the form of a complex value with the aim of increasing the capacity and quality
of the OFDMA radio resource allocation systems. To increase capacity, we propose
a chunk forming process, namely the grouping of several subcarriers into one
chunk using the K-Means Clustering algorithm, this algorithm was chosen because
of the simplicity of the computation process. To improve quality, we propose a new
method, which is to combine power loading and phase shift simultaneously. Power
loading and phase shift are generally applied separately to improve the quality of
digital communication on multicarrier systems. Our propose method uses the
principle of channel equalization, but we apply it to the transmitter.
The simulation results of the chunk forming process in the resource allocation
scheme can increase throughput when compared to conventional chunk forming,
and show that the smaller SSE (Sum Squared Error) value of the clustering process,
the greater the SSB (Sum of Squared Between groups). The simulation results also
show that the combined model of power loading and phase shift gives a very
significant probability of bit error improvement when compared to the application
of power loading alone or phase shifting alone. In an ideal feedback condition, the
form of the received signal is the same as the transmitted signal, so that the
probability of bit error produced is the same as the system that passes through the
AWGN channel only.
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In real conditions, the process of transmitting the feedback signal and the channel
estimation process in the user results the feedback delay and error. The results of
tests on all types of modulation show the sistem performance with the feedback
delay of 10 samples has not been degraded. The results of tests on low-order
modulation such as BPSK and QPSK, show that the probability of bit error the
system does not experience significant degradation with the delay. However, for
higher order modulation such as 16QAM and 64QAM, the feedback delay causes
the probability of bit error curve to degrade. The results of testing the error
feedback effect, show the probability of bit error curve changes very crucially. For
the feedback symbol error rate value of 0.001, the system's probability of bit error
has degraded for all modulation orders. Thus, the effect of error on feedback is
more dominant than the effect of delay on feedback.
Feedback on channel conditions that are used to improve the quality of
communication sometimes experiences deep fade conditions, therefore we also
analyze the addition of a limiter to the feedback to anticipate if a deep fade occurs.
With the simulations, we display the visualization of the signal in each process on
the transmitter and receiver sides for different levels of limiter level. The test results
show if we choose a higher limiter level, then we get the worse the probability of
bit error. In low order modulation, the result of probability of bit error is still good
even though the limiter level process is added. Limiter level that is still safe for all
modulation orders is 0.01. |
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