770 research outputs found
Cross-Layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments
In this paper, we propose a cross-layer analytical model for the study of network coding (NC)-based Automatic Repeat reQuest (ARQ) medium access control (MAC) protocols in correlated slow-faded (shadowed) environments, where two end nodes are assisted by a cluster of relays to exchange data packets. The goal of our work is threefold: 1) to provide general physical-layer theoretical expressions for estimating crucial network parameters (i.e., network outage probability and expected size of the active relay set), applicable in two-way communications; 2) to demonstrate how these expressions are incorporated into theoretical models of the upper layers (i.e., MAC); and 3) to study the performance of a recently proposed NC-aided cooperative ARQ (NCCARQ) MAC protocol under correlated shadowing conditions. Extensive Monte Carlo experiments have been carried out to validate the efficiency of the developed analytical model and to investigate the realistic performance of NCCARQ. Our results indicate that the number of active relays is independent of the shadowing correlation in the wireless links and reveal intriguing tradeoffs between throughput and energy efficiency, highlighting the importance of cross-layer approaches for the assessment of cooperative MAC protocols
Beacon-Assisted Spectrum Access with Cooperative Cognitive Transmitter and Receiver
Spectrum access is an important function of cognitive radios for detecting
and utilizing spectrum holes without interfering with the legacy systems. In
this paper we propose novel cooperative communication models and show how
deploying such cooperations between a pair of secondary transmitter and
receiver assists them in identifying spectrum opportunities more reliably.
These cooperations are facilitated by dynamically and opportunistically
assigning one of the secondary users as a relay to assist the other one which
results in more efficient spectrum hole detection. Also, we investigate the
impact of erroneous detection of spectrum holes and thereof missing
communication opportunities on the capacity of the secondary channel. The
capacity of the secondary users with interference-avoiding spectrum access is
affected by 1) how effectively the availability of vacant spectrum is sensed by
the secondary transmitter-receiver pair, and 2) how correlated are the
perceptions of the secondary transmitter-receiver pair about network spectral
activity. We show that both factors are improved by using the proposed
cooperative protocols. One of the proposed protocols requires explicit
information exchange in the network. Such information exchange in practice is
prone to wireless channel errors (i.e., is imperfect) and costs bandwidth loss.
We analyze the effects of such imperfect information exchange on the capacity
as well as the effect of bandwidth cost on the achievable throughput. The
protocols are also extended to multiuser secondary networks.Comment: 36 pages, 6 figures, To appear in IEEE Transaction on Mobile
Computin
Propagation measurement based study on relay networks
Von der nächsten Generation von Mobilfunksystemen erwartet man eine
umfassende Versorgung mit breitbandigen Multimediadiensten. Um die dafür
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 für Relay-Netzwerke vorgestellt. Im
Weiteren werden technische Verfahren für 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-unterstützten
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 Unterdrückung 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.
Für die Entwicklung künftiger 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
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Efficient Routing and Scheduling in Wireless Networks
The temporal and spatial variation in wireless channel conditions, node mobility make it challenging to design protocols for wireless networks. In this thesis, we design efficient routing and scheduling algorithms which adapt to changing network conditions caused by varying link quality or node mobility to improve user-level performance. We design and analyze routing protocols for static, mobile and heterogeneous wireless networks. We analyze the performance of opportunistic and cooperative forwarding in static mesh networks showing that opportunism outperforms cooperation; we identify interference as the main cause for mitigating the potential gains achievable with cooperative forwarding. For mobile networks, we quantitatively analyze the tradeoff between state information collection (sampling frequency and number of bits per sample) and power consumption for a fixed source-to-destination goodput constraint. For heterogeneous networks comprising of both static and mobile nodes, we propose a greedy algorithm (adaptive-flood) which dynamically classifies individual nodes as routers/flooders depending on network conditions and demonstrate that it achieves performance equivalent to, and in some cases significantly better than, that of network-wide routing or flooding alone. Last, we consider an application-level wireless streaming scenario where multiple clients are streaming different videos from a cellular base station. We design a greedy algorithm for efficiently scheduling multiple video streams from a base station to mobile clients so as to minimize the total number of application-playout stalls. We develop models for coarse timescale wireless channel variation to aid network and application-layer protocol design
Performance analysis for industrial wireless networks
Industrial wireless networks operate in harsher and noisier environments compared to
traditional wireless networks, while demanding high reliability and low latency. These
requirements, combined with the constant need for better coverage, higher data rates
and overall seamless user experience call for a paradigm shift in communication in regards
to the previous generations of technologies used. Cooperative diversity is one such
approach.
The main focus of this thesis is on the performance analysis of cooperative wireless
networks set in industrial environments – where the network, apart from additive white
Gaussian noise, is subject to multipath fading and shadowing, and/or temporary random
blockage effects. In these scenarios, in order to achieve specific performance metrics
such as error rates or outage probabilities, existing cooperative strategies are aided by
protocols in the channel between the cooperating nodes. Moreover, pair-wise analysis
investigates the correlation of multiple data flows.
Building upon existing repetition protocols, outage performance of a network subject
to fading and shadowing is observed, and the effects of fading and shadowing severity,
network dimension, average signal-to-noise ratio values and packet length are discussed.
Special cases are also observed, in which the composite fading channel is reduced to
several familiar propagation environments, unifying the analysis.
Afterwards, the analysis of more complex protocols is presented, taking into account
random blockage in the channels between cooperating nodes. A novel, threshold-based
internode protocol is introduced, which improves performance by listening to the transmissions
and choosing whether to send a packet immediately or after a waiting period.
As these two periods are close, the effect of temporal correlation is also investigated.
Apart from the exact outage probability expressions, simpler asymptotic expressions,
with and without blockage, are derived as well, giving a better insight on the network
behaviour at high average signal-to-noise ratio regimes.
Both outage probability and packet error rate can be also improved by adding automatic
repeat request schemes in the channel between cooperating nodes, which again
utilize the internode channels by re-sending data until it can be successfully decoded.
Error-free communication can be achieved, but at a delay cost. Nevertheless, a trade-off
between performance gains and delays remains, and can therefore be used for designing
wireless networks with different requirements – error-free or low-latency.
Finally, joint outage performance is investigated. Using a generic approach, which
can be applied to any sort of data where multiple sources are communicating over wireless
networks, pair-wise behaviour is investigated. As a result, any multi-route diversity
type of scheme will have this sort of behaviour, since particular point-to-point relay links
are being shared by source nodes. This in turn means that the performance of those
flows will be correlated. For higher layers, there is a difference in the behaviour, meaning
that when errors are correlated, data flows start behaving correlated as well. As a
result, negative acknowledgements may start to correlate as well. All of this contributes
to the network behaving in a correlated way, i.e., when something happens, it tends to
happen to more than one data flow
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