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Publikasjoner (10 av 190) Visa alla publikasjoner
Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, M. A. & Taheri, J. (2019). IntOpt: In-Band Network Telemetry Optimization for NFV Service Chain Monitoring. In: 2019 IEEE International Conference on Communications (ICC) Próceedings: . Paper presented at IEEE ICC 2019: IEEE International Conference on Communications 2019 Shanghai, China 20-24 May.
Åpne denne publikasjonen i ny fane eller vindu >>IntOpt: In-Band Network Telemetry Optimization for NFV Service Chain Monitoring
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2019 (engelsk)Inngår i: 2019 IEEE International Conference on Communications (ICC) Próceedings, 2019Konferansepaper (Fagfellevurdert)
Abstract [en]

Managing and scaling virtual network function(VNF) service chains require the collection and analysis ofnetwork statistics and states in real time. Existing networkfunction virtualization (NFV) monitoring frameworks either donot have the capabilities to express the range of telemetryitems needed to perform management or do not scale tolarge traffic volumes and rates. We present IntOpt, a scalableand expressive telemetry system designed for flexible VNFservice chain network monitoring using active probing. IntOptallows to specify monitoring requirements for individual servicechain, which are mapped to telemetry item collection jobsthat fetch the required telemetry items from P4 (programmingprotocol-independent packet processors) programmable dataplaneelements. In our approach, the SDN controller creates theminimal number of monitoring flows to monitor the deployedservice chains as per their telemetry demands in the network.We propose a simulated annealing based random greedy metaheuristic(SARG) to minimize the overhead due to activeprobing and collection of telemetry items. Using P4-FPGA, webenchmark the overhead for telemetry collection and compareour simulated annealing based approach with a na¨ıve approachwhile optimally deploying telemetry collection probes. Ournumerical evaluation shows that the proposed approach canreduce the monitoring overhead by 39% and the total delays by57%. Such optimization may as well enable existing expressivemonitoring frameworks to scale for larger real-time networks.

Emneord
In-band Network Telemetry, Monitoring, P4, Service Function Chain, Software Defined Networks
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-74631 (URN)10.1109/ICC.2019.8761722 (DOI)978-1-5386-8089-6 (ISBN)978-1-5386-8088-9 (ISBN)
Konferanse
IEEE ICC 2019: IEEE International Conference on Communications 2019 Shanghai, China 20-24 May
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-09-04 Laget: 2019-09-04 Sist oppdatert: 2019-09-04
Santos, R., Koslowski, K., Daube, J., Ghazzai, H., Kassler, A., Sakaguchi, K. & Haustein, T. (2019). mmWave Backhaul Testbed Configurability Using Software-Defined Networking. Wireless Communications & Mobile Computing, 1-24, Article ID 8342167.
Åpne denne publikasjonen i ny fane eller vindu >>mmWave Backhaul Testbed Configurability Using Software-Defined Networking
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2019 (engelsk)Inngår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, s. 1-24, artikkel-id 8342167Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Future mobile data traffic predictions expect a significant increase in user data traffic, requiring new forms of mobile network infrastructures. Fifth generation (5G) communication standards propose the densification of small cell access base stations (BSs) in order to provide multigigabit and low latency connectivity. This densification requires a high capacity backhaul network. Using optical links to connect all the small cells is economically not feasible for large scale radio access networks where multiple BSs are deployed. A wireless backhaul formed by a mesh of millimeter-wave (mmWave) links is an attractive mobile backhaul solution, as flexible wireless (multihop) paths can be formed to interconnect all the access BSs. Moreover, a wireless backhaul allows the dynamic reconfiguration of the backhaul topology to match varying traffic demands or adaptively power on/off small cells for green backhaul operation. However, conducting and precisely controlling reconfiguration experiments over real mmWave multihop networks is a challenging task. In this paper, we develop a Software-Defined Networking (SDN) based approach to enable such a dynamic backhaul reconfiguration and use real-world mmWave equipment to setup a SDN-enabled mmWave testbed to conduct various reconfiguration experiments. In our approach, the SDN control plane is not only responsible for configuring the forwarding plane but also for the link configuration, antenna alignment, and adaptive mesh node power on/off operations. We implement the SDN-based reconfiguration operations in a testbed with four nodes, each equipped with multiple mmWave interfaces that can be mechanically steered to connect to different neighbors. We evaluate the impact of various reconfiguration operations on existing user traffic using a set of extensive testbed measurements. Moreover, we measure the impact of the channel assignment on existing traffic, showing that a setup with an optimal channel assignment between the mesh links can result in a 44% throughput increase, when compared to a suboptimal configuration.

sted, utgiver, år, opplag, sider
Hindawi Publishing Corporation, 2019
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-71786 (URN)10.1155/2019/8342167 (DOI)000465345700001 ()
Tilgjengelig fra: 2019-04-09 Laget: 2019-04-09 Sist oppdatert: 2019-05-09bibliografisk kontrollert
Khoshkholghi, M. A., Taheri, J., Bhamare, D. & Kassler, A. (2019). Optimized Service Chain Placement Using Genetic Algorithm. In: Christian Jacquenet, Filip De Turck, Prosper Chemouil, Flavio Esposito, Olivier Festor, Walter Cerroni, Stefano Secci (Ed.), Proceedings of the 2019 IEEE Conference on Network Softwarization NetSoft 2019, Unleasing the Power of Network Softwarization: . Paper presented at Network Softwarization (NetSoft), IEEE Conference on 24-28 June Paris, France. IEEE
Åpne denne publikasjonen i ny fane eller vindu >>Optimized Service Chain Placement Using Genetic Algorithm
2019 (engelsk)Inngår i: Proceedings of the 2019 IEEE Conference on Network Softwarization NetSoft 2019, Unleasing the Power of Network Softwarization / [ed] Christian Jacquenet, Filip De Turck, Prosper Chemouil, Flavio Esposito, Olivier Festor, Walter Cerroni, Stefano Secci, IEEE, 2019Konferansepaper (Fagfellevurdert)
Abstract [en]

Network Function Virtualization (NFV) is anemerging technology to consolidate network functions onto highvolume storages, servers and switches located anywhere in thenetwork. Virtual Network Functions (VNFs) are chainedtogether to provide a specific network service. Therefore, aneffective service chain placement strategy is required tooptimize the resource allocation and consequently to reduce theoperating cost of the substrate network. To this end, we proposefour genetic-based algorithms using roulette wheel andtournament selection techniques in order to place service chainsconsidering two different placement strategies. Since mappingof service chains sequentially (One-at-a-time strategy) may leadto suboptimal placement, we also propose Simultaneous strategythat places all service chains at the same time to improveperformance. Our goal in this work is to reduce deployment costof VNFs while satisfying constraints. We consider Geantnetwork as the substrate network along with its characteristicsextracted from SndLib. The proposed algorithms are able toplace service chains with any type of service graph. Theperformance benefits of the proposed algorithms arehighlighted through extensive simulations.

sted, utgiver, år, opplag, sider
IEEE, 2019
Emneord
Network Function Virtualization, Optimization, Genetic Algorithm, Service Chain Placement
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-74619 (URN)10.1109/NETSOFT.2019.8806644 (DOI)978-1-5386-9376-6 (ISBN)978-1-5386-9377-3 (ISBN)
Konferanse
Network Softwarization (NetSoft), IEEE Conference on 24-28 June Paris, France
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-09-04 Laget: 2019-09-04 Sist oppdatert: 2019-09-04
Alizadeh Noghani, K., Ghazzai, H. & Kassler, A. (2018). A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks. In: 2018 IEEE Global Communications Conference (GLOBECOM): . Paper presented at 2018 IEEE Global Communications Conference (GLOBECOM) Abu Dhabi, United Arab Emirates, 9-13 dec (pp. 1-7).
Åpne denne publikasjonen i ny fane eller vindu >>A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks
2018 (engelsk)Inngår i: 2018 IEEE Global Communications Conference (GLOBECOM), 2018, s. 1-7Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

With the emergence of millimeter-Wave (mmWave) communication technology, the capacity of mobile backhaul networks can be significantly increased. On the other hand, Mobile Edge Computing (MEC) provides an appropriate infrastructure to offload latency-sensitive tasks. However, the amount of resources in MEC servers is typically limited. Therefore, it is important to intelligently manage the MEC task offloading by optimizing the backhaul bandwidth and edge server resource allocation in order to decrease the overall latency of the offloaded tasks. This paper investigates the task allocation problem in MEC environment, where the mmWave technology is used in the backhaul network. We formulate a Mixed Integer NonLinear Programming (MINLP) problem with the goal to minimize the total task serving time. Its objective is to determine an optimized network topology, identify which server is used to process a given offloaded task, find the path of each user task, and determine the allocated bandwidth to each task on mmWave backhaul links. Because the problem is difficult to solve, we develop a two-step approach. First, a Mixed Integer Linear Program (MILP) determining the network topology and the routing paths is optimally solved. Then, the fractions of bandwidth allocated to each user task are optimized by solving a quasi-convex problem. Numerical results illustrate the obtained topology and routing paths for selected scenarios and show that optimizing the bandwidth allocation significantly improves the total serving time, particularly for bandwidth-intensive tasks.

HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-71436 (URN)10.1109/GLOCOM.2018.8647559 (DOI)000465774302096 ()978-1-5386-4727-1 (ISBN)978-1-5386-6976-1 (ISBN)
Konferanse
2018 IEEE Global Communications Conference (GLOBECOM) Abu Dhabi, United Arab Emirates, 9-13 dec
Prosjekter
Socra, 4840
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-03-05 Laget: 2019-03-05 Sist oppdatert: 2019-06-11bibliografisk kontrollert
Marotta, A., Avallone, S. & Kassler, A. (2018). A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers. Computer Networks, 130, 65-80
Åpne denne publikasjonen i ny fane eller vindu >>A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers
2018 (engelsk)Inngår i: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 130, s. 65-80Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Cloud computing and virtualization are enabling technologies for designing energy-aware resource management mechanisms in virtualized data centers. Indeed, one of the main challenges of big data centers is to decrease the power consumption, both to cut costs and to reduce the environmental impact. To this extent, Virtual Machine (VM) consolidation is often used to smartly reallocate the VMs with the objective of reducing the power consumption, by exploiting the VM live migration. The consolidation problem consists in finding the set of migrations that allow to keep turned on the minimum number of servers needed to host all the VMs. However, most of the proposed consolidation approaches do not consider the network related consumption, which represents about 10–20% of the total energy consumed by IT equipment in real data centers. This paper proposes a novel joint server and network consolidation model that takes into account the power efficiency of both the switches forwarding the traffic and the servers hosting the VMs. It powers down switch ports and routes traffic along the most energy efficient path towards the least energy consuming server under QoS constraints. Since the model is complex, a fast Simulated Annealing based Resource Consolidation algorithm (SARC) is proposed. Our numerical results demonstrate that our approach is able to save on average 50% of the network related power consumption compared to a network unaware consolidation.

sted, utgiver, år, opplag, sider
Elsevier, 2018
Emneord
Cloud, Virtualization, Power, Green computing, Simulated annealing
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-65324 (URN)10.1016/j.comnet.2017.11.003 (DOI)
Prosjekter
HITS
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2017-12-05 Laget: 2017-12-05 Sist oppdatert: 2019-07-09bibliografisk kontrollert
Gokan Khan, M., Taheri, J., Kassler, A. & Darula, M. (2018). Automated Analysis and Profiling of VirtualNetwork Functions: the NFV-Inspector Approach. In: 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN): . Paper presented at IEEE Conference on Network Function Virtulization and Software defined Networks, Verona, Italy, 27-29 November 2018. IEEE
Åpne denne publikasjonen i ny fane eller vindu >>Automated Analysis and Profiling of VirtualNetwork Functions: the NFV-Inspector Approach
2018 (engelsk)Inngår i: 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Discovering insights about Virtual Network Function (VNFs) resource demand characteristics will enable cloud vendors to optimize their underlying Network Function Virtualization (NFV) system orchestration and dramatically mitigate CapEx and OpEx spendings. However, analyzing large-scale NFV systems, especially in mobile network environments, is a challenging task and requires tailor-made approaches for each particular application. In this demo, we showcase NFV-Inspector, an open source and extensible VNF analysis platform that is capable of systematically benchmark and profile NFV deployments. Based on its pluggable framework, NFV-Inspector classifies VNFs resource demand characteristics and correlate their Key Performance Indicators (KPIs) with system-level Quality of Service (QoS) measurements. 

sted, utgiver, år, opplag, sider
IEEE, 2018
Emneord
Classification, Network Function Virtualization, Platform, Profiling, Quality of Service
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-71388 (URN)10.1109/NFV-SDN.2018.8725697 (DOI)000475896900023 ()978-1-5386-8281-4 (ISBN)978-1-5386-8282-1 (ISBN)
Konferanse
IEEE Conference on Network Function Virtulization and Software defined Networks, Verona, Italy, 27-29 November 2018
Prosjekter
NFV Optimizer, 5276
Forskningsfinansiär
Knowledge Foundation, 20160182
Merknad

Tilgjengelig fra: 2019-02-28 Laget: 2019-02-28 Sist oppdatert: 2019-08-06bibliografisk kontrollert
Tran, G. K., Santos, R., Ogawa, H., Nakamura, M., Sakaguchi, K. & Kassler, A. (2018). Context-based dynamic meshed backhaul construction for 5G heterogeneous networks. Journal of Sensor and Actuator Networks, 7(4), Article ID 43.
Åpne denne publikasjonen i ny fane eller vindu >>Context-based dynamic meshed backhaul construction for 5G heterogeneous networks
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2018 (engelsk)Inngår i: Journal of Sensor and Actuator Networks, ISSN 2224-2708, Vol. 7, nr 4, artikkel-id 43Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Five-G heterogeneous network overlaid by millimeter-wave (mmWave) access employs mmWave meshed backhauling as a promising cost-efficient backhaul architecture. Due to the nature of mobile traffic distribution in practice which is both time-variant and spatially non-uniform, dynamic construction of mmWave meshed backhaul is a prerequisite to support the varying traffic distribution. Focusing on such scenario of outdoor dynamic crowd (ODC), this paper proposes a novel method to control mmWave meshed backhaul for efficient operation of mmWave overlay 5G HetNet through Software-Defined Network (SDN) technology. Our algorithm is featured by two functionalities, i.e., backhauling route multiplexing for overloaded mmWave small cell base stations (SC-BSS) and mmWave SC-BSS' ON/OFF status switching for underloaded spot. In this paper, the effectiveness of the proposed meshed network is confirmed by both numerical analyses and experimental results. Simulations are conducted over a practical user distribution modeled from measured data in realistic environments. Numerical results show that the proposed algorithm can cope with the locally intensive traffic and reduce energy consumption. Furthermore, a WiGig (Wireless Gigabit Alliance certified) device based testbed is developed for Proof-of-Concept (PoC) and preliminary measurement results confirm the proposed dynamic formation of the meshed network's efficiency.

sted, utgiver, år, opplag, sider
MDPI AG, 2018
Emneord
5G heterogeneous network, Dynamic construction, Experimental validation, Meshed backhaul, Mmwave, Numerical analysis, Outdoor dynamic crowd, SDN, Testbed
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70358 (URN)10.3390/jsan7040043 (DOI)000455415600002 ()2-s2.0-85056267796 (Scopus ID)
Tilgjengelig fra: 2018-11-29 Laget: 2018-11-29 Sist oppdatert: 2019-04-26bibliografisk kontrollert
Alizadeh Noghani, K., Kassler, A. & Sankar Gopannan, P. (2018). EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers. In: 4th IEEE Conference on Network Softwarization (NetSoft): . Paper presented at 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018. (pp. 105-113).
Åpne denne publikasjonen i ny fane eller vindu >>EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers
2018 (engelsk)Inngår i: 4th IEEE Conference on Network Softwarization (NetSoft), 2018, s. 105-113Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Live Virtual Machine (VM) migration has significantly improved the flexibility of modern Data Centers (DC). However, seamless live migration of a VM between geo-distributed DCs faces several challenges due to difficulties in preserving the network configuration after the migration paired with a large network convergence time. Although SDN-based approaches can speed up network convergence time, these techniques have two limitations. First, they typically react to the new topology by installing new flow rules once the migration is finished. Second, because the WAN is typically not under SDN control, they result in sub-optimal routing thus severely degrading the network performance once the VM is attached at the new location.

In this paper, we identify networking challenges for VM migration across geo-distributed DCs. Based on those observations, we design a novel long-haul VM migration scheme that overcomes those limitations. First, instead of reactively restoring connectivity after the migration, our SDN-based approach proactively restores flows across the WAN towards the new location with the help of EVPN and VXLAN overlay technologies. Second, the SDN controller accelerates the network convergence by announcing the migration to other controllers using MP-BGP control plane messages. Finally, the SDN controller resolves the sub-optimal routing problem that arises as a result of migration implementing a distributed anycast gateway. We implement our approach as extensions to the OpenDaylight controller. Our evaluation shows that our approach outperforms existing approaches in reducing the downtime by 400 ms and increasing the application performance up to 12 times.

Emneord
Data Center, Ethernet VPN, Software Defined Networks, Distributed Gateway, VM Migration
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70164 (URN)10.1109/NETSOFT.2018.8459946 (DOI)000455125000012 ()978-1-5386-4633-5 (ISBN)
Konferanse
4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018.
Prosjekter
HITS
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2018-11-19 Laget: 2018-11-19 Sist oppdatert: 2019-02-14bibliografisk kontrollert
Vestin, J., Kassler, A. & Akerberg, J. (2018). FastReact: In-Network Control And Caching For Industrial Control Networks Using Programmable Data Planes. In: 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA): . Paper presented at 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), SEP 04-07, 2018, Politecnico Torino, Torino, ITALY (pp. 219-226).
Åpne denne publikasjonen i ny fane eller vindu >>FastReact: In-Network Control And Caching For Industrial Control Networks Using Programmable Data Planes
2018 (engelsk)Inngår i: 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2018, s. 219-226Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Providing network reliability as well as low and predictable latency is important especially for Industrial Automation and Control Networks. However, diagnosing link status from the control plane has high latency and overhead. In addition, the communication with the industrial controller may impose additional network latency. We present FastReact - a system enabling In-Network monitoring, control and caching for Industrial Automation and Control Networks. FastReact outsources simple monitoring and control actions to evolving programmable data planes using the P4 language. As instructed by the Industrial Controller through a Northbound API, the SDN controller composes control actions using Boolean Logic which are then installed in the data plane. The data plane parses and caches sensor values and performs simple calculations on them which are connected to fast control actions that are executed locally. For resiliency, FastReact monitors liveness and response of sensors/actuators and performs a fast local link repair in the data plane if a link failure is detected. Our testbed measurement show that FastReact can reduce the sensor/actuator delay while being resilient against several failure events.

Serie
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA, ISSN 1946-0740
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70292 (URN)000449334500026 ()978-1-5386-7108-5 (ISBN)
Konferanse
23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), SEP 04-07, 2018, Politecnico Torino, Torino, ITALY
Tilgjengelig fra: 2018-11-23 Laget: 2018-11-23 Sist oppdatert: 2019-01-31bibliografisk kontrollert
Pieskä, M., Kassler, A., Lundqvist, H. & Cai, T. (2018). Improving TCP Fairness over Latency Controlled 5G mmWave Communication Links. In: WSA 2018; 22nd International ITG Workshop on Smart Antennas: . Paper presented at WSA 2018; 22nd International ITG Workshop on Smart Antennas, 14 June, 2018 Bochum, Germany.
Åpne denne publikasjonen i ny fane eller vindu >>Improving TCP Fairness over Latency Controlled 5G mmWave Communication Links
2018 (engelsk)Inngår i: WSA 2018; 22nd International ITG Workshop on Smart Antennas, 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In order to increase the capacity of 5G networks, using mmWave band communication links both for access and backhaul are an important alternative due to the large spectrum portion available at those frequency bands. However, mmWave bands exhibit special propagation characteristics which require the usage of highly directional and beam-steerable antennas in order to cope with the significantly higher path loss. Using such links in urban scenarios may lead to frequent blocking events due to moving pedestrians or cars, which may result in the links dynamically changing their characteristics from Line-of-Sight (LOS) to Non Line-of- Sight (NLOS) or outage (OUT). Due to the immediate significant variation in available capacity when changing the link states, TCP connections may experience rapid spikes in end-to-end latency and severe bufferbloat may build up. Although bufferbloat solutions such as CoDel can be deployed to control the delay, they significantly impact capacity and fairness between different TCP flows sharing the same mmWave link. In this paper, we study this fairness issue when running multiple TCP connections over fluctuating mmWave links and deploying AQM schemes to control the latency. We study the effect of length and severity of the NLOS episode upon fairness and latency. Finally, we develop an algorithm that tunes the AQM parameters in order to increase fairness across flows having different RTTs while at the same time reduce their latency.

HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-71477 (URN)978-3-8007-4541-8 (ISBN)
Konferanse
WSA 2018; 22nd International ITG Workshop on Smart Antennas, 14 June, 2018 Bochum, Germany
Prosjekter
Socra, 4840
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-03-12 Laget: 2019-03-12 Sist oppdatert: 2019-07-03bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-9446-8143