5 research outputs found
Propagation measurement based study on relay networks
Von der nächsten Generation von Mobilfunksystemen erwartet man eine
umfassende Versorgung mit breitbandigen Multimediadiensten. Um die dafĂĽr
erforderliche flächendeckende Versorgung mit hohen Datenraten zu
gewährleisten, können Relay-Netzwerke einen wesentlichen Beitrag liefern.
Hierbei werden Netzwerkstationen mit Relay-Funktionalität in zellulare
Netzwerke integriert.
Diese Dissertation befasst sich mit der Untersuchung Relay-basierter
Netzwerke unter Verwendung von Ausbreitungsmessungen. Die Arbeit deckt
Fragen zur Kanalmodellierung, Systemevaluierung bis hin zur
Systemverifikation ab. - Zunächst wird ein auf Funkkanalmessungen
beruhendes experimentelles Kanalmodell fĂĽr Relay-Netzwerke vorgestellt. Im
Weiteren werden technische Verfahren fĂĽr Mehrfachzugriffs-Relay-Netzwerke
MARN diskutiert. Die erreichbare Systemleistung wurde unter Verwendung von
Rayleigh-Kanälen innerhalb einer Systemsimulation bestimmt und im Anschluss
mit realen Kanälen, die sowohl direkt aus Funkkanalmessungen als auch
indirekt aus dem bereits erwähnten Kanalmodell abgeleitet wurden,
verifiziert.
Bisherige Arbeiten zur Modellierung breitbandiger Multiple-Input
Multiple-Output (MIMO) Kanäle berücksichtigen nicht oder nur sehr stark
vereinfacht die Langzeitkorrelationseigenschaften zwischen den Links und
werden damit der vermaschten und räumlich weit verteilten Topologie von
Relay-Netzwerken gerecht. In der vorliegenden Dissertation erfolgte daher
eine experimentelle Untersuchung zu den Korrelationseigenschaften von
Large-Scale-Parametern LSP, die unter Verwendung von Funkkanalmessdaten aus
urbanen Umgebungen und aus Innenräumen abgeleitet wurden. Die Ergebnisse
hierzu fanden Eingang in das vom WINNER-Projekt entwickelte Kanalmodell.
Sie erlauben damit eine realistischere Simulation von Relay-unterstĂĽtzten
Netzen.
Einen weiteren Schwerpunkt dieser Arbeit stellen technische Verfahren dar,
die eine Erhöhung der Systemleistung in MARN mit unbekannter Interferenz
UKIF versprechen. Im Einzelnen handelt es sich um die
Mehrfachzugriffs-Kodierung MAC - die eine verbesserte Signaltrennung auf
der Empfängerseite und eine Erhöhung des Datendurchsatzes erlaubt, den
Entwurf eines Relay-Protokolls zur Erhöhung der Systemeffizienz, einen
Minimum Mean Square Error (MMSE) Algorithmus zur UnterdrĂĽckung unbekannter
Interferenzen bei Erhaltung der MAC-Signalstruktur mehrerer Mobilstationen
MS, und ein fehlererkennungsbasiertes Signalauswahlverfahren zur
Diversitätserhöhung.
Die vorgenannten Verfahren werden in einer Systemsimulation zunächst mit
Rayleigh-Kanälen evaluiert und demonstrieren die erzielbare theoretische
Leistungssteigerung. Die Berücksichtigung realer Funkkanäle innerhalb der
Systemsimulation zeigt allerdings, dass die theoretische Systemleistung so
in der Realität nicht erreichbar ist. Die Ursache hierfür ist in den
idealisierten Annahmen theoretischer Kanäle zu suchen.
FĂĽr die Entwicklung kĂĽnftiger Relay-Netzwerke bieten die in dieser Arbeit
aufbereiteten Erkenntnisse hinsichtlich der
Langzeitkorrelationseigenschaften zwischen den Links einen wertvollen
Beitrag für die Abschätzung ihrer Systemleistung auf der Basis eines
verbesserten Kanalmodells.Considering technological bases of next generation wireless systems, it is
expected that systems can provide a variety of coverage requirements to
support ubiquitous communications. To satisfy the requirements, an
innovative idea, integrating network elements with a relaying capability
into cellular networks, is one of the most promising solutions.
The main topic of this dissertation is a propagation measurement based
study on relay networks. The study includes three parts: channel modeling,
performance evaluation, and verification. First of all, an empirical
channel model for relay networks is proposed based on statistical analyses
of measurement data. Then, advanced techniques for the throughput
improvement and interference cancellation are proposed for Multiple Access
Relay Networks (MARN) which are used as an example of relay networks. The
performance of the considered MARN is evaluated for Rayleigh channels, and
then verified for realistic channels, obtained from measurement data and
from the experimental relay channel model as well.
For relay channel modeling, the long-term correlation properties between
links are of crucial importance due to the meshed-network topology.
Although, there is a wide variety of research results for Multiple-Input
Multiple-Output (MIMO) channel modeling available, the characterization of
correlation properties has been significantly simplified or even completely
ignored which motivates this research to be performed. In this
dissertation, the experimental results of the correlation properties of
Large Scale Parameters (LSP) are presented through the analysis on the
real-field measurement data for both the urban and indoor scenarios.
furthermore, the correlation properties have been fully introduced into the
WINNER channel Model (WIM) for realistic relay channel simulations.
As a further contribution of this dissertation, various advanced techniques
are proposed for MARN in the presence of Unknown Interference (UKIF).
Multiple Access Coding (MAC) is introduced as a multiple access technique.
The use of MAC provides the signal separability at the receiver and
improves throughput. Thereafter, high system resource efficiency can be
achieved through relay protocol design. At the receiver, Minimum Mean
Square Error (MMSE)-based spatial filtering is used to suppress UKIF while
preserving multiple Mobile Station (MS)s’ MAC-encoded signal structure.
Furthermore, an error detection aided signal selection technique is
proposed for diversity increasing.
The theoretical system performance with aforementioned techniques is
simulated for Rayleigh channels. Thereafter, realistic channels are
exploited for the performance verification. The gap between the theoretical
performance and the realistic performance indicates that the assumptions
made to the simplified Rayleigh-channels do not fully hold in reality.
For the future relay system design, this work provides valuable information
about the performance evaluation of relay networks in consideration of the
correlation properties between links
Cooperative Diversity and Partner Selection in Wireless Networks
Next generation wireless communication systems are expected to provide a variety
of services including voice, data and video. The rapidly growing demand for these services
needs high data rate wireless communication systems with reliability and high user
capacity. Recently, it has been shown that reliability and achievable data rate of wireless communication systems increases dramatically by employing multiple transmit and receive antennas. Transmit diversity is a powerful technique for combating multipath
fading in wireless communications. However, employing multiple antennas in a mobile
terminal to achieve the transmit diversity in the uplink is not feasible due to the limited
size of the mobile unit.
In order to overcome this problem, a new mode of transmit diversity called cooperative
diversity (CD) based on user cooperation, was proposed very recently. By user cooperation, it is meant that the sender transmits to the destination and copies to other users, called partners, for relaying to the destination. The antennas of the sender and the partners together form a multiple antenna situation. CD systems are immuned not only against small scale channel fading but also against large scale channel fading. On the other hand, CD systems are more sensitive to interuser (between sender and partner) transmission errors and user mobility.
In this dissertation, we propose a bandwidth and power efficient CD system which could be accommodated with minimal modifications in the currently available direct or
point-to-point communication systems. The proposed CD system is based on quadrature
signaling (QS). With quadrature signaling, both sender’s and partners’ information
symbols are transmitted simultaneously in his/her multiple access channels. It also reduces the synchronization as well as the interference problems that occur in the schemes reported in the literature.
The performance of the proposed QS-CD system is analyzed at different layers. First, we study the bit error probability (BEP) of the QS-CD system for both fixed and adaptive
relaying at the partner. It is shown from the BEP performance that the QS-CD system can
achieve diversity order of two. Then, a cross-layer communication system is developed
by combing the proposed QS-CD system at the physical layer and the truncated stop-and-
wait automatic repeat request (ARQ) at the data link layer. The performance of the cross-layer system is analyzed and compared with existing schemes in the literature
for performance metrics at the data link layer and upper layers, i.e., frame error rate, packet loss rate, average packet delay, throughput, etc. In addition, the studies show that the proposed QS-CD-ARQ system outperforms existing schemes when it has a good partner. In this respect, the proposed system is fully utilizing the communication channel and less complex in terms of implementation when compared with the existing systems.
Since the partner selection gives significant impact on the performance of the CD systems, partner selection algorithms (PSAs) are extensively analyzed for both static and
mobile user network. In this case, each individual user would like to take advantage
of cooperation by choosing a suitable partner. The objective of an individual user may conflict with the objective of the network. In this regard, we would like to introduce a PSA which tries to balance both users and network objectives by taking user mobility into consideration. The proposed PSA referred to as worst link first (WLF), to choose the best partner in cooperative communication systems. The WLF algorithm gives priority to the worst link user to choose its partner and to maximize the energy gain of the radio cell. It is easy to implement not only in centralized networks but also in distributed networks with or without the global knowledge of users in the network. The proposed WLF matching algorithm, being less complex than the optimal maximum weighted (MW) matching and the heuristic based Greedy matching algorithms, yields performance characteristics close to those of MW matching algorithm and better than the Greedy matching algorithm in both static and mobile user networks. Furthermore, the proposed matching algorithm provides around 10dB energy gain with optimal power allocation over a non-cooperative system which is equivalent to prolonging the cell phone battery recharge time by about ten times
Cooperative Diversity and Partner Selection in Wireless Networks
Next generation wireless communication systems are expected to provide a variety
of services including voice, data and video. The rapidly growing demand for these services
needs high data rate wireless communication systems with reliability and high user
capacity. Recently, it has been shown that reliability and achievable data rate of wireless communication systems increases dramatically by employing multiple transmit and receive antennas. Transmit diversity is a powerful technique for combating multipath
fading in wireless communications. However, employing multiple antennas in a mobile
terminal to achieve the transmit diversity in the uplink is not feasible due to the limited
size of the mobile unit.
In order to overcome this problem, a new mode of transmit diversity called cooperative
diversity (CD) based on user cooperation, was proposed very recently. By user cooperation, it is meant that the sender transmits to the destination and copies to other users, called partners, for relaying to the destination. The antennas of the sender and the partners together form a multiple antenna situation. CD systems are immuned not only against small scale channel fading but also against large scale channel fading. On the other hand, CD systems are more sensitive to interuser (between sender and partner) transmission errors and user mobility.
In this dissertation, we propose a bandwidth and power efficient CD system which could be accommodated with minimal modifications in the currently available direct or
point-to-point communication systems. The proposed CD system is based on quadrature
signaling (QS). With quadrature signaling, both sender’s and partners’ information
symbols are transmitted simultaneously in his/her multiple access channels. It also reduces the synchronization as well as the interference problems that occur in the schemes reported in the literature.
The performance of the proposed QS-CD system is analyzed at different layers. First, we study the bit error probability (BEP) of the QS-CD system for both fixed and adaptive
relaying at the partner. It is shown from the BEP performance that the QS-CD system can
achieve diversity order of two. Then, a cross-layer communication system is developed
by combing the proposed QS-CD system at the physical layer and the truncated stop-and-
wait automatic repeat request (ARQ) at the data link layer. The performance of the cross-layer system is analyzed and compared with existing schemes in the literature
for performance metrics at the data link layer and upper layers, i.e., frame error rate, packet loss rate, average packet delay, throughput, etc. In addition, the studies show that the proposed QS-CD-ARQ system outperforms existing schemes when it has a good partner. In this respect, the proposed system is fully utilizing the communication channel and less complex in terms of implementation when compared with the existing systems.
Since the partner selection gives significant impact on the performance of the CD systems, partner selection algorithms (PSAs) are extensively analyzed for both static and
mobile user network. In this case, each individual user would like to take advantage
of cooperation by choosing a suitable partner. The objective of an individual user may conflict with the objective of the network. In this regard, we would like to introduce a PSA which tries to balance both users and network objectives by taking user mobility into consideration. The proposed PSA referred to as worst link first (WLF), to choose the best partner in cooperative communication systems. The WLF algorithm gives priority to the worst link user to choose its partner and to maximize the energy gain of the radio cell. It is easy to implement not only in centralized networks but also in distributed networks with or without the global knowledge of users in the network. The proposed WLF matching algorithm, being less complex than the optimal maximum weighted (MW) matching and the heuristic based Greedy matching algorithms, yields performance characteristics close to those of MW matching algorithm and better than the Greedy matching algorithm in both static and mobile user networks. Furthermore, the proposed matching algorithm provides around 10dB energy gain with optimal power allocation over a non-cooperative system which is equivalent to prolonging the cell phone battery recharge time by about ten times
Advances in approximate Bayesian computation and trans-dimensional sampling methodology
Bayesian statistical models continue to grow in complexity, driven
in part by a few key factors: the massive computational resources
now available to statisticians; the substantial gains made in
sampling methodology and algorithms such as Markov chain
Monte Carlo (MCMC), trans-dimensional MCMC (TDMCMC), sequential
Monte Carlo (SMC), adaptive algorithms and stochastic
approximation methods and approximate Bayesian computation (ABC);
and development of more realistic models for real world phenomena
as demonstrated in this thesis for financial models and
telecommunications engineering. Sophisticated statistical models
are increasingly proposed for practical solutions to real world problems in order to better capture salient features of
increasingly more complex data. With sophistication comes a
parallel requirement for more advanced and automated statistical
computational methodologies.
The key focus of this thesis revolves around innovation related to
the following three significant Bayesian research questions.
1. How can one develop practically useful Bayesian models and corresponding computationally efficient sampling methodology, when the likelihood model is intractable?
2. How can one develop methodology in order to automate Markov chain Monte Carlo sampling approaches to efficiently explore the support of a posterior distribution, defined across multiple Bayesian statistical models?
3. How can these sophisticated Bayesian modelling frameworks and sampling methodologies be utilized to solve practically relevant and important problems in the research fields of financial risk modeling and telecommunications engineering ?
This thesis is split into three bodies of work represented in
three parts. Each part contains journal papers with novel
statistical model and sampling methodological development. The
coherent link between each part involves the novel
sampling methodologies developed in Part I and utilized in Part II and Part III. Papers contained in
each part make progress at addressing the core research
questions posed.
Part I of this thesis presents generally applicable key
statistical sampling methodologies that will be utilized and
extended in the subsequent two parts. In particular it presents
novel developments in statistical methodology pertaining to
likelihood-free or ABC and TDMCMC methodology.
The TDMCMC methodology focuses on several aspects of automation
in the between model proposal construction, including
approximation of the optimal between model proposal kernel via a
conditional path sampling density estimator. Then this methodology
is explored for several novel Bayesian model selection
applications including cointegrated vector autoregressions (CVAR)
models and mixture models in which there is an unknown number of
mixture components. The second area relates to development of
ABC methodology with particular focus
on SMC Samplers methodology in an ABC context via Partial
Rejection Control (PRC). In addition to novel algorithmic
development, key theoretical properties are also studied for the
classes of algorithms developed. Then this methodology is
developed for a highly challenging practically significant
application relating to multivariate Bayesian -stable
models.
Then Part II focuses on novel statistical model development
in the areas of financial risk and non-life insurance claims
reserving. In each of the papers in this part the focus is on
two aspects: foremost the development of novel statistical models
to improve the modeling of risk and insurance; and then the
associated problem of how to fit and sample from such statistical
models efficiently. In particular novel statistical models are
developed for Operational Risk (OpRisk) under a Loss Distributional
Approach (LDA) and for claims reserving in Actuarial non-life
insurance modelling. In each case the models developed include an
additional level of complexity which adds flexibility to the model
in order to better capture salient features observed in real data.
The consequence of the additional complexity comes at the cost
that standard fitting and sampling methodologies are generally not
applicable, as a result one is required to develop and apply the
methodology from Part I.
Part III focuses on novel statistical model development
in the area of statistical signal processing for wireless
communications engineering. Statistical models will be developed
or extended for two general classes of wireless communications
problem: the first relates to detection of transmitted symbols and
joint channel estimation in Multiple Input Multiple Output (MIMO)
systems coupled with Orthogonal Frequency Division Multiplexing
(OFDM); the second relates to co-operative wireless communications
relay systems in which the key focus is on detection of
transmitted symbols. Both these areas will require advanced
sampling methodology developed in Part I to find solutions to
these real world engineering problems