2014
P. Sarigiannidis; A. Gkaliouris; V. Kakali; M. Louta; G. Papadimitriou; P. Nicopolitidis; M. Obaidat
On forecasting the ONU sleep period in XG-PON systems using exponential smoothing techniques Conference
2014.
Περίληψη | BibTeX | Ετικέτες: bandwidth allocation, energy efficiency, exponential smoothing, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis20142580,
title = {On forecasting the ONU sleep period in XG-PON systems using exponential smoothing techniques},
author = { P. Sarigiannidis and A. Gkaliouris and V. Kakali and M. Louta and G. Papadimitriou and P. Nicopolitidis and M. Obaidat},
url = {https://www.researchgate.net/publication/282688355_On_forecasting_the_ONU_sleep_period_in_XG-PON_systems_using_exponential_smoothing_techniques},
doi = {10.1109/GLOCOM.2014.7037196},
year = {2014},
date = {2014-01-01},
journal = {2014 IEEE Global Communications Conference, GLOBECOM 2014},
pages = {2580-2585},
abstract = {Power management has been advanced on a crucial factor in the design of modern access networks. Furthermore, the proliferation of optical networking in the last mile led major Telecom unions, such as the International Telecommunication Union (ITU), to emerge energy consumption as a critical objective of the next generation passive optical networks (NG-PONs). In particular, the standardization of the 10-gigabit-capable PON (XG-PON) entails well-defined specifications towards power management and energy reduction, especially regarding the power control of optical terminal devices such as the optical network units (ONUs). In this way, the optical line terminator (OLT) along with ONUs are able to cooperate with each other in order to succeed energy reduction, by applying doze or cyclic sleep periods to idle ONUs. However, the sleep period determination remains a quite challenging research area. In this study, we endeavor to provide XG-PON networks with an effective forecasting mechanism that is capable of estimating the time duration of the forthcoming sleep session. To this end, we apply the exponential smoothing technique to best estimate the sleep duration based on the monitoring time series observations. The obtained evaluation results sound quite promising, since the proposed model accomplishes to advance the trade-off between the energy reduction and network efficiency. © 2014 IEEE.},
keywords = {bandwidth allocation, energy efficiency, exponential smoothing, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
Power management has been advanced on a crucial factor in the design of modern access networks. Furthermore, the proliferation of optical networking in the last mile led major Telecom unions, such as the International Telecommunication Union (ITU), to emerge energy consumption as a critical objective of the next generation passive optical networks (NG-PONs). In particular, the standardization of the 10-gigabit-capable PON (XG-PON) entails well-defined specifications towards power management and energy reduction, especially regarding the power control of optical terminal devices such as the optical network units (ONUs). In this way, the optical line terminator (OLT) along with ONUs are able to cooperate with each other in order to succeed energy reduction, by applying doze or cyclic sleep periods to idle ONUs. However, the sleep period determination remains a quite challenging research area. In this study, we endeavor to provide XG-PON networks with an effective forecasting mechanism that is capable of estimating the time duration of the forthcoming sleep session. To this end, we apply the exponential smoothing technique to best estimate the sleep duration based on the monitoring time series observations. The obtained evaluation results sound quite promising, since the proposed model accomplishes to advance the trade-off between the energy reduction and network efficiency. © 2014 IEEE.
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; K. Yiannopoulos
HYRA: An efficient hybrid reporting method for XG-PON upstream resource allocation Conference
2014.
Περίληψη | BibTeX | Ετικέτες: Dynamic bandwidth allocation, Learning automata, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis20145,
title = {HYRA: An efficient hybrid reporting method for XG-PON upstream resource allocation},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and K. Yiannopoulos},
url = {https://www.researchgate.net/publication/301390310_HYRA_An_Efficient_Hybrid_Reporting_Method_for_XG-PON_Upstream_Resource_Allocation},
doi = {10.5220/0005048200050014},
year = {2014},
date = {2014-01-01},
journal = {OPTICS 2014 - Proceedings of the 5th International Conference on Optical Communication Systems, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications},
pages = {5-14},
abstract = {The dynamic bandwidth allocation (DBA) process in the modern passive optical networks (PONs) is crucial since it greatly influences the whole network performance. Recently, the latest new generation PON (NGPON) standard, known as 10-gigabit-capable passive optical network (XG-PON), standardized by the international telecommunication union telecommunication standardization sector (ITU-T), emerges as one of the most efficient access networking framework to cope with the demanding needs of the fiber to the x (FTTX) paradigm, where x stands for home (FTTH), bulding (FTTB), or curve (FTTC). Motivated by the fact that the ITU-T specifications leave the bandwidth allocation process open for development by both industry and academia, we propose a novel DBA scheme for effectively delivering data in the upstream direction. Our idea is based on a subtle suggestion induced by the XG-PON specifications, each developed DBA method should combine both status reporting (SR) and traffic monitoring (TM) techniques. This means that a XGPON framework should be cognitive enough in order to be able either to request bandwidth reporting from the connected users or estimate users' bandwidth demands or both. In this article we cover this gap by proposing a robust learning from experience method by utilizing a powerful yet simple tool, the learning automata (LAs). By combining SR and TM methods, the proposed hybrid scheme, called hybrid reporting allocation (HYRA), is capable of taking efficient decisions on deciding when SR or TM method should be employed so as to maximize the efficacy of the bandwidth allocation process. Simulation results reveal the superiority of our scheme in terms of average packet delay offering up to 33% improvement.},
keywords = {Dynamic bandwidth allocation, Learning automata, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
The dynamic bandwidth allocation (DBA) process in the modern passive optical networks (PONs) is crucial since it greatly influences the whole network performance. Recently, the latest new generation PON (NGPON) standard, known as 10-gigabit-capable passive optical network (XG-PON), standardized by the international telecommunication union telecommunication standardization sector (ITU-T), emerges as one of the most efficient access networking framework to cope with the demanding needs of the fiber to the x (FTTX) paradigm, where x stands for home (FTTH), bulding (FTTB), or curve (FTTC). Motivated by the fact that the ITU-T specifications leave the bandwidth allocation process open for development by both industry and academia, we propose a novel DBA scheme for effectively delivering data in the upstream direction. Our idea is based on a subtle suggestion induced by the XG-PON specifications, each developed DBA method should combine both status reporting (SR) and traffic monitoring (TM) techniques. This means that a XGPON framework should be cognitive enough in order to be able either to request bandwidth reporting from the connected users or estimate users' bandwidth demands or both. In this article we cover this gap by proposing a robust learning from experience method by utilizing a powerful yet simple tool, the learning automata (LAs). By combining SR and TM methods, the proposed hybrid scheme, called hybrid reporting allocation (HYRA), is capable of taking efficient decisions on deciding when SR or TM method should be employed so as to maximize the efficacy of the bandwidth allocation process. Simulation results reveal the superiority of our scheme in terms of average packet delay offering up to 33% improvement.
P. Sarigiannidis; K. Aproikidis; M. Louta; P. Angelidis; T. Lagkas
Predicting multimedia traffic in wireless networks: A performance evaluation of cognitive techniques Conference
2014.
Περίληψη | BibTeX | Ετικέτες: automata, extrapolation, markov chains, prediction, wireless networks | Σύνδεσμοι:
@conference{Sarigiannidis2014341,
title = {Predicting multimedia traffic in wireless networks: A performance evaluation of cognitive techniques},
author = { P. Sarigiannidis and K. Aproikidis and M. Louta and P. Angelidis and T. Lagkas},
url = {https://www.researchgate.net/publication/267210651_Predicting_Multimedia_Traffic_in_Wireless_Networks_A_Performance_Evaluation_of_Cognitive_Techniques},
doi = {10.1109/IISA.2014.6878802},
year = {2014},
date = {2014-01-01},
journal = {IISA 2014 - 5th International Conference on Information, Intelligence, Systems and Applications},
pages = {341-346},
abstract = {Traffic engineering in networking is defined as the process that incorporates sophisticated methods in order to ensure optimization and high network performance. One of the most constructive tools employed by the traffic engineering concept is the traffic prediction. Having in mind the heterogeneous traffic patterns originated by various modern services and network platforms, the need of a robust, cognitive, and error-free prediction technique becomes even more pressing. This work focuses on the prediction concept as an autonomous, functional, and efficient process, where multiple cutting-edge methods are presented, modeled, and thoroughly assessed. To this purpose, real traffic traces have been captured, including multiple multimedia traffic flows, so as to comparatively assess widely used methods in terms of accuracy. © 2014 IEEE.},
keywords = {automata, extrapolation, markov chains, prediction, wireless networks},
pubstate = {published},
tppubtype = {conference}
}
Traffic engineering in networking is defined as the process that incorporates sophisticated methods in order to ensure optimization and high network performance. One of the most constructive tools employed by the traffic engineering concept is the traffic prediction. Having in mind the heterogeneous traffic patterns originated by various modern services and network platforms, the need of a robust, cognitive, and error-free prediction technique becomes even more pressing. This work focuses on the prediction concept as an autonomous, functional, and efficient process, where multiple cutting-edge methods are presented, modeled, and thoroughly assessed. To this purpose, real traffic traces have been captured, including multiple multimedia traffic flows, so as to comparatively assess widely used methods in terms of accuracy. © 2014 IEEE.
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; K. Yiannopoulos
Towards a fair and efficient downlink bandwidth distribution in XG-PON frameworks Conference
2014.
Περίληψη | BibTeX | Ετικέτες: downstream, Fairness, Passive optical networks, round trip time, Scheduling, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis201449,
title = {Towards a fair and efficient downlink bandwidth distribution in XG-PON frameworks},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and K. Yiannopoulos},
url = {https://www.researchgate.net/publication/269305724_Towards_a_fair_and_efficient_downlink_bandwidth_distribution_in_XG-PON_frameworks},
doi = {10.1109/MELCON.2014.6820505},
year = {2014},
date = {2014-01-01},
journal = {Proceedings of the Mediterranean Electrotechnical Conference - MELECON},
pages = {49-53},
abstract = {Fairness assurance in modern access networks constitutes a focal point of interest since it dramatically affects the quality of the provided services to the final users. Traffic balancing entails fair bandwidth distribution along with efficient service provisioning, inaugurating a challenging tradeoff between the system throughput and fairness. In this paper, the downlink scheduling effectiveness in modern passive optical networks (PONs) is examined, adopting the ten-gigabit passive optical network (XG-PON) architecture deployed in a tree topology. Considering that the tree topology implies a broadcast nature of data delivering in the downlink direction, the tradeoff between the efficiency and fairness becomes even more compelling, bearing in mind that the distance the broadcast data propagate between the source and users' destination is highly differentiated. In order to remedy this situation two effective scheduling schemes are proposed, namely the shortest propagation processing time (SPPT) and the shortest weighted propagation processing time (SWPPT). Both algorithms are extensively assessed, while the obtained results indicate that the proposed algorithms assure a fair and effective downlink schedule. © 2014 IEEE.},
keywords = {downstream, Fairness, Passive optical networks, round trip time, Scheduling, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
Fairness assurance in modern access networks constitutes a focal point of interest since it dramatically affects the quality of the provided services to the final users. Traffic balancing entails fair bandwidth distribution along with efficient service provisioning, inaugurating a challenging tradeoff between the system throughput and fairness. In this paper, the downlink scheduling effectiveness in modern passive optical networks (PONs) is examined, adopting the ten-gigabit passive optical network (XG-PON) architecture deployed in a tree topology. Considering that the tree topology implies a broadcast nature of data delivering in the downlink direction, the tradeoff between the efficiency and fairness becomes even more compelling, bearing in mind that the distance the broadcast data propagate between the source and users' destination is highly differentiated. In order to remedy this situation two effective scheduling schemes are proposed, namely the shortest propagation processing time (SPPT) and the shortest weighted propagation processing time (SWPPT). Both algorithms are extensively assessed, while the obtained results indicate that the proposed algorithms assure a fair and effective downlink schedule. © 2014 IEEE.
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos; M. Louta; V. Kakali
vol. 2015-January, no. January, 2014.
Περίληψη | BibTeX | Ετικέτες: Dynamic bandwidth allocation, Fairness, Learning automata, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis20147,
title = {IFAISTOS: A fair and flexible resource allocation policy for next-generation passive optical networks},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos and M. Louta and V. Kakali},
url = {https://www.researchgate.net/publication/282320629_IFAISTOS_A_fair_and_flexible_resource_allocation_policy_for_next-generation_passive_optical_networks},
doi = {10.1109/ICUMT.2014.7002071},
year = {2014},
date = {2014-01-01},
journal = {International Congress on Ultra Modern Telecommunications and Control Systems and Workshops},
volume = {2015-January},
number = {January},
pages = {7-14},
abstract = {In modern, competitive, and dynamic access networks the underlying bandwidth distribution mechanism has to be capable of understanding user requirements, meeting stringent quality of service (QoS) demands, and satisfying a broad spectrum of user traffic dynamics. Undoubtedly, optical fiber is the dominant transmission medium enabling practical and cost-effective optical infrastructures in the last mile. Passive optical networks (PONs) represent one of the most promising player towards the fiber to the home (FTTH) vision allowing users to experience high quality, demanding multimedia services and applications. The 10-gigabit-capable passive optical network (XG-PON), one of the latest PON standard, incorporates a set of profound conditions a contemporary PON should ensure. Fairness provisioning constitutes one of the most critical features a PON should provide. However, ensuring fairness in an access network with numerous different users, requesting multiple traffic flows in any time, is not a straightforward task. In this work, we focus on the fairness issue by devising an adaptive, efficient, and fair dynamic bandwidth allocation (DBA) scheme called Insistent FAIr STrategy prOcesS (IFAISTOS). IFAISTOS investigates and maintains user traffic profiles. Overloaded users are carefully treated by gaining greater granting windows than other users, however bandwidth monopolization is prevented. Fairness is ensured for all users in terms of traffic load and average delay. A steering, adaptive mechanism records user traffic profiles by changing and defining bandwidth weights proportional to individual traffic needs. Extensive simulation results reveal the efficacy of the proposed DBA in terms of fairness and average packet delay. © 2014 IEEE.},
keywords = {Dynamic bandwidth allocation, Fairness, Learning automata, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
In modern, competitive, and dynamic access networks the underlying bandwidth distribution mechanism has to be capable of understanding user requirements, meeting stringent quality of service (QoS) demands, and satisfying a broad spectrum of user traffic dynamics. Undoubtedly, optical fiber is the dominant transmission medium enabling practical and cost-effective optical infrastructures in the last mile. Passive optical networks (PONs) represent one of the most promising player towards the fiber to the home (FTTH) vision allowing users to experience high quality, demanding multimedia services and applications. The 10-gigabit-capable passive optical network (XG-PON), one of the latest PON standard, incorporates a set of profound conditions a contemporary PON should ensure. Fairness provisioning constitutes one of the most critical features a PON should provide. However, ensuring fairness in an access network with numerous different users, requesting multiple traffic flows in any time, is not a straightforward task. In this work, we focus on the fairness issue by devising an adaptive, efficient, and fair dynamic bandwidth allocation (DBA) scheme called Insistent FAIr STrategy prOcesS (IFAISTOS). IFAISTOS investigates and maintains user traffic profiles. Overloaded users are carefully treated by gaining greater granting windows than other users, however bandwidth monopolization is prevented. Fairness is ensured for all users in terms of traffic load and average delay. A steering, adaptive mechanism records user traffic profiles by changing and defining bandwidth weights proportional to individual traffic needs. Extensive simulation results reveal the efficacy of the proposed DBA in terms of fairness and average packet delay. © 2014 IEEE.
P. Sarigiannidis; K. Anastasiou; E. Karapistoli; V. Kakali; M. Louta; P. Angelidis
An adaptive power management scheme for Ethernet Passive Optical Networks Conference
2014.
Περίληψη | BibTeX | Ετικέτες: bandwidth allocation, energy efficiency, Learning automata, Passive optical networks | Σύνδεσμοι:
@conference{Sarigiannidis2014f,
title = {An adaptive power management scheme for Ethernet Passive Optical Networks},
author = { P. Sarigiannidis and K. Anastasiou and E. Karapistoli and V. Kakali and M. Louta and P. Angelidis},
url = {https://www.researchgate.net/publication/286812658_An_adaptive_power_management_scheme_for_Ethernet_Passive_Optical_Networks?_sg=9Zz2iY14mUeTZMc-phRI6wlWdfdweiaLCUVbz0BGxvUSnU_GRkZWSEFJrAzLqjctJX0s3ulybPAE6OQ},
doi = {10.1109/ISCC.2014.6912460},
year = {2014},
date = {2014-01-01},
journal = {Proceedings - International Symposium on Computers and Communications},
abstract = {Undoubtedly, energy consumption in communication networks poses a significant threat to the environmental stability. Access networks contribute to this consumption by being composed of numerous energy inefficient devices and network equipment. Passive Optical Networks (PONs), one of the most promising candidates in the field of access networking, should avoid this bottleneck in the backhaul power consumption by lowering the energy use of the optical devices. In this paper, we move towards that direction by introducing an energy efficient power management scheme that encompasses two major goals: a) to reduce the energy consumption by allowing the optical devices to enter the sleep mode longer, and b) to concurrently maintain the network performance. To this end, we focus on the energy consumed by the optical network units (ONUs). The intelligence of the ONUs is stimulated by enhancing the decision making in determining the duration of the sleep period with learning from experience mechanism. Learning automata (LAs) are charged to address this challenge. The evaluation of the proposed enhanced power management scheme reveals considerable improvements in terms of energy savings, while at the same time the network performance remains in high levels. © 2014 IEEE.},
keywords = {bandwidth allocation, energy efficiency, Learning automata, Passive optical networks},
pubstate = {published},
tppubtype = {conference}
}
Undoubtedly, energy consumption in communication networks poses a significant threat to the environmental stability. Access networks contribute to this consumption by being composed of numerous energy inefficient devices and network equipment. Passive Optical Networks (PONs), one of the most promising candidates in the field of access networking, should avoid this bottleneck in the backhaul power consumption by lowering the energy use of the optical devices. In this paper, we move towards that direction by introducing an energy efficient power management scheme that encompasses two major goals: a) to reduce the energy consumption by allowing the optical devices to enter the sleep mode longer, and b) to concurrently maintain the network performance. To this end, we focus on the energy consumed by the optical network units (ONUs). The intelligence of the ONUs is stimulated by enhancing the decision making in determining the duration of the sleep period with learning from experience mechanism. Learning automata (LAs) are charged to address this challenge. The evaluation of the proposed enhanced power management scheme reveals considerable improvements in terms of energy savings, while at the same time the network performance remains in high levels. © 2014 IEEE.
E. Karapistoli; P. Sarigiannidis; A.A. Economides
Wormhole Attack Detection in Wireless Sensor Networks based on Visual Analytics Conference
Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm’14), Beijing, China, 2014.
BibTeX | Ετικέτες:
@conference{Karapistoli2014,
title = {Wormhole Attack Detection in Wireless Sensor Networks based on Visual Analytics},
author = { E. Karapistoli and P. Sarigiannidis and A.A. Economides},
editor = { Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm’14)},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm’14)},
address = {Beijing, China},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
M. Louta; P. Sarigiannidis; S. Misra; P. Nicopolitidis; G. Papadimitriou
RLAM: A dynamic and efficient reinforcement learning-based adaptive mapping scheme in mobile WiMAX networks Journal Article
In: Mobile Information Systems, vol. 10, no. 2, pp. 173-196, 2014.
Περίληψη | BibTeX | Ετικέτες: channel allocation ratio, IEEE 802.16, Learning, mapping, OFDMA, WiMAX | Σύνδεσμοι:
@article{Louta2014173,
title = {RLAM: A dynamic and efficient reinforcement learning-based adaptive mapping scheme in mobile WiMAX networks},
author = { M. Louta and P. Sarigiannidis and S. Misra and P. Nicopolitidis and G. Papadimitriou},
url = {https://www.researchgate.net/publication/259965632_RLAM_A_Dynamic_and_Efficient_Reinforcement_Learning-based_Adaptive_Mapping_Scheme_in_Mobile_WiMAX_Networks},
doi = {10.3233/MIS-130177},
year = {2014},
date = {2014-01-01},
journal = {Mobile Information Systems},
volume = {10},
number = {2},
pages = {173-196},
abstract = {WiMAX (Worldwide Interoperability for Microwave Access) constitutes a candidate networking technology towards the 4G vision realization. By adopting the Orthogonal Frequency Division Multiple Access (OFDMA) technique, the latest IEEE 802.16x amendments manage to provide QoS-aware access services with full mobility support. A number of interesting scheduling and mapping schemes have been proposed in research literature. However, they neglect a considerable asset of the OFDMA-based wireless systems: the dynamic adjustment of the downlink-to-uplink width ratio. In order to fully exploit the supported mobile WiMAX features, we design, develop, and evaluate a rigorous adaptive model, which inherits its main aspects from the reinforcement learning field. The model proposed endeavours to efficiently determine the downlink-to-uplink width ratio, on a frame-by-frame basis, taking into account both the downlink and uplink traffic in the Base Station (BS). Extensive evaluation results indicate that the model proposed succeeds in providing quite accurate estimations, keeping the average error rate below 15% with respect to the optimal sub-frame configurations. Additionally, it presents improved performance compared to other learning methods (e.g., learning automata) and notable improvements compared to static schemes that maintain a fixed predefined ratio in terms of service ratio and resource utilization. © 2014-IOS Press.},
keywords = {channel allocation ratio, IEEE 802.16, Learning, mapping, OFDMA, WiMAX},
pubstate = {published},
tppubtype = {article}
}
WiMAX (Worldwide Interoperability for Microwave Access) constitutes a candidate networking technology towards the 4G vision realization. By adopting the Orthogonal Frequency Division Multiple Access (OFDMA) technique, the latest IEEE 802.16x amendments manage to provide QoS-aware access services with full mobility support. A number of interesting scheduling and mapping schemes have been proposed in research literature. However, they neglect a considerable asset of the OFDMA-based wireless systems: the dynamic adjustment of the downlink-to-uplink width ratio. In order to fully exploit the supported mobile WiMAX features, we design, develop, and evaluate a rigorous adaptive model, which inherits its main aspects from the reinforcement learning field. The model proposed endeavours to efficiently determine the downlink-to-uplink width ratio, on a frame-by-frame basis, taking into account both the downlink and uplink traffic in the Base Station (BS). Extensive evaluation results indicate that the model proposed succeeds in providing quite accurate estimations, keeping the average error rate below 15% with respect to the optimal sub-frame configurations. Additionally, it presents improved performance compared to other learning methods (e.g., learning automata) and notable improvements compared to static schemes that maintain a fixed predefined ratio in terms of service ratio and resource utilization. © 2014-IOS Press.
T.D. Lagkas; P. Sarigiannidis; M. Louta
Analyzing the mobile WiMAX system resource exploitation of the downlink direction Journal Article
In: Wireless Personal Communications, vol. 77, no. 2, pp. 1117-1127, 2014.
Περίληψη | BibTeX | Ετικέτες: IEEE 802.16e, mapping, OFDMA, Performance analysis, Resource utilization, Simulation, WiMAX | Σύνδεσμοι:
@article{Lagkas20141117,
title = {Analyzing the mobile WiMAX system resource exploitation of the downlink direction},
author = { T.D. Lagkas and P. Sarigiannidis and M. Louta},
url = {https://www.researchgate.net/publication/259442681_Analyzing_the_Mobile_WiMAX_System_Resource_Exploitation_of_the_Downlink_Direction},
doi = {10.1007/s11277-013-1557-2},
year = {2014},
date = {2014-01-01},
journal = {Wireless Personal Communications},
volume = {77},
number = {2},
pages = {1117-1127},
abstract = {Worldwide interoperability for microwave access (WiMAX) constitutes a viable networking technology, providing wireless connectivity in an efficient mannerIn this work, on the grounds of the defined frame structure, a novel performance analysis of the mobile WiMAX standard in terms of the downlink resource utilization is presentedThe analysis is validated via simulation, the results of which are also provided along with numerical results, studying the effectiveness of the OFDMA-based downlink mappingThe results reveal the relationship among the frame dimensions, the mapped request size, and the number of unexploited OFDMA slots. © 2013 Springer Science+Business Media New York.},
keywords = {IEEE 802.16e, mapping, OFDMA, Performance analysis, Resource utilization, Simulation, WiMAX},
pubstate = {published},
tppubtype = {article}
}
Worldwide interoperability for microwave access (WiMAX) constitutes a viable networking technology, providing wireless connectivity in an efficient mannerIn this work, on the grounds of the defined frame structure, a novel performance analysis of the mobile WiMAX standard in terms of the downlink resource utilization is presentedThe analysis is validated via simulation, the results of which are also provided along with numerical results, studying the effectiveness of the OFDMA-based downlink mappingThe results reveal the relationship among the frame dimensions, the mapped request size, and the number of unexploited OFDMA slots. © 2013 Springer Science+Business Media New York.
2013
P. Sarigiannidis; G. Papadimitriou; P. Nicopolitidis; E. Varvarigos
Ensuring fair downlink allocation in modern access networks: The XG-PON framework Conference
2013.
Περίληψη | BibTeX | Ετικέτες: downstream, Fairness, Max-Min fairness, Passive optical networks, XG-PON | Σύνδεσμοι:
@conference{Sarigiannidis2013,
title = {Ensuring fair downlink allocation in modern access networks: The XG-PON framework},
author = { P. Sarigiannidis and G. Papadimitriou and P. Nicopolitidis and E. Varvarigos},
url = {https://www.researchgate.net/publication/271556110_Ensuring_fair_downlink_allocation_in_modern_access_networks_The_XG-PON_framework},
doi = {10.1109/SCVT.2013.6736006},
year = {2013},
date = {2013-01-01},
journal = {IEEE SCVT 2013 - Proceedings of 20th IEEE Symposium on Communications and Vehicular Technology in the BeNeLux},
abstract = {The fairness aspect on handling user data flows in modern broadband telecommunication networks is of paramount importance since it strongly affects the quality of the provided services. In this work, the fairness provisioning is investigated in a competitive telecommunication field such as the passive optical networks (PONs). Intending to resolve unequal resource allocation in the downstream data delivery, a fair bandwidth assignment scheme is devised and evaluated. The Max-Min fairness concept is applied in order to determine the best effort (BE) bandwidth allocation of each optical network unit (ONU) in the optical line terminal (OLT) side. Simulation results indicate the benefits of utilizing the proposed resource allocation technique in terms of fair bandwidth distribution. © 2013 IEEE.},
keywords = {downstream, Fairness, Max-Min fairness, Passive optical networks, XG-PON},
pubstate = {published},
tppubtype = {conference}
}
The fairness aspect on handling user data flows in modern broadband telecommunication networks is of paramount importance since it strongly affects the quality of the provided services. In this work, the fairness provisioning is investigated in a competitive telecommunication field such as the passive optical networks (PONs). Intending to resolve unequal resource allocation in the downstream data delivery, a fair bandwidth assignment scheme is devised and evaluated. The Max-Min fairness concept is applied in order to determine the best effort (BE) bandwidth allocation of each optical network unit (ONU) in the optical line terminal (OLT) side. Simulation results indicate the benefits of utilizing the proposed resource allocation technique in terms of fair bandwidth distribution. © 2013 IEEE.
Διεύθυνση
Internet of Things and Applications Lab
Department of Electrical and Computer Engineering
University of Western Macedonia Campus
ZEP Area, Kozani 50100
Greece
Πληροφορίες Επικοινωνίας
tel: +30 2461 056527
Email: ithaca@uowm.gr
