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Publications (3 of 3) Show all publications
Rao, A. & Steinert, R. (2018). Probabilistic multi-RAT performance abstractions. In: : . Paper presented at NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium.
Open this publication in new window or tab >>Probabilistic multi-RAT performance abstractions
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Development towards 5G has introduced difficult challenges in effectively managing and operating heterogeneous infrastructures under highly varying network conditions. Enabling, for example, unified coordination and management of radio resources across coexisting, multiple radio access technologies (multi-RAT), require efficient representation using high-level abstractions of the radio network performance and state. Without such abstractions, users and networks cannot harvest the full potential of increased resource density and connectivity options resulting in failure to meet the ambitions of 5G. We present a generic probabilistic approach for unified estimation of performance variability based on attainable throughput of UDP traffic in multi-RATs, and evaluate the applicability in an interface selection control case (involving WiFi and LTE) based on obtaining probabilistic user performance guarantees. From simulations we observe that both users and operators can significantly benefit from this improved service availability at low network cost. Initial results indicate 1) 116% fewer performance violations and 2) 20% fewer performance violations with a reduction by 35 times in the number of handovers, compared to naive and state-of-the-art baselines, respectively.

Keywords
5G mobile communication, Long Term Evolution, mobility management (mobile radio), probability, radio access networks, resource allocation, telecommunication traffic, transport protocols, wireless LAN, radio resources, multiple radio access technologies, radio network performance, generic probabilistic approach, interface selection control case, probabilistic multiRAT performance abstractions, heterogeneous infrastructures, resource density, probabilistic user performance, UDP traffic, handovers, WiFi, LTE, Throughput, Measurement, Downlink, Probabilistic logic, Wireless fidelity, Monitoring, probabilistic modelling, heterogeneous networks, multi-RAT networks, interface selection
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-34331 (URN)10.1109/NOMS.2018.8406277 (DOI)2-s2.0-85050674757 (Scopus ID)
Conference
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2019-06-18Bibliographically approved
Rao, A., Schelén, O. & Lindgren, A. (2016). Performance Implications for IoT over Information Centric Networks (7ed.). In: Proceedings of the Eleventh ACM Workshop on Challenged Networks: . Paper presented at Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 7, 2016, New York, US (pp. 57-62).
Open this publication in new window or tab >>Performance Implications for IoT over Information Centric Networks
2016 (English)In: Proceedings of the Eleventh ACM Workshop on Challenged Networks, 2016, 7, p. 57-62Conference paper, Published paper (Refereed)
Abstract [en]

Information centric networking (ICN) is a proposal for a future internetworking architecture that is more efficient and scalable. While several ICN architectures have been evaluated for networks carrying web and video traffic, the benefits and challenges it poses for Internet of Things (IoT) networks are relatively unexplored. In our work, we evaluate the performance implications for typical IoT network scenarios in the ICN paradigm. We study the behavior of in-network caching, introduce a way to make caching more efficient for periodic sensor data, and evaluate the impact of presence and location of lossy wireless links in IoT networks. In this paper, we present and discuss the results of our evaluations on IoT networks performed through emulations using a specific ICN architecture, namely, content centric networking (CCN). For example, we show that the newly proposed UTS-LRU cache replacement strategy for improved caching performance of time series content streams reduces the number of messages transmitted by up to 16%. Our findings indicate that the performance of IoT networks using ICN are influenced by the content model and the nature of its links, and motivates further studies to understand the performance implications in more varied IoT scenarios.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24567 (URN)10.1145/2979683.2979686 (DOI)978-1-4503-4256-8 (ISBN)
Conference
Eleventh ACM Workshop on Challenged Networks (CHANTS 2016), October 7, 2016, New York, US
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2019-06-25Bibliographically approved
Rao, A. & Steinert, R.Probabilistic multi-RAT performance abstractions.
Open this publication in new window or tab >>Probabilistic multi-RAT performance abstractions
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Development towards 5G has introduced difficultchallenges in effectively managing and operating heterogeneousinfrastructures under highly varying network conditions. En-abling, for example, unified coordination and management ofradio resources across coexisting, multiple radio access technolo-gies (multi-RAT), require efficient representation using high-levelabstractions of the radio network performance and state. Withoutsuch abstractions, users and networks cannot harvest the fullpotential of increased resource density and connectivity optionsresulting in failure to meet the ambitions of 5G.We present a generic probabilistic approach for unified estima-tion of performance variability based on attainable throughputof UDP traffic in multi-RATs, and evaluate the applicability inan interface selection control case (involving WiFi and LTE)based on obtaining probabilistic user performance guarantees.From simulations we observe that both users and operators cansignificantly benefit from this improved service availability at lownetwork cost. Initial results indicate 1) 116% fewer performanceviolations and 2) 20% fewer performance violations with areduction by 35 times in the number of handovers, comparedto naive and state-of-the-art baselines, respectively.

Keywords
probabilistic modelling; heterogeneous net- works; multi-RAT networks; interface selection
National Category
Communication Systems
Identifiers
urn:nbn:se:ri:diva-33844 (URN)
Available from: 2018-05-08 Created: 2018-05-08 Last updated: 2018-08-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1992-4740

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