A database for publications published by researchers and students at SimulaMet.
Research area
Publication type
- All (479) Remove All <span class="counter">(479)</span> filter
- Journal articles (112)
- Books (5)
- Edited books (1)
- Proceedings, refereed (123)
- Book chapters (4)
- Talks, keynote (9)
- PhD theses (1)
- Proceedings, non-refereed (15)
- Posters (4)
- Technical reports (10)
- Talks, invited (136)
- Talks, contributed (14)
- Public outreach (37)
- Miscellaneous (8)
Book chapters
5G-sikkerhet: Norge mellom stormaktene
In Digitalisering og internasjonal politikk. Universitetsforlaget, 2022.Status: Published
5G-sikkerhet: Norge mellom stormaktene
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Book Title | Digitalisering og internasjonal politikk |
Chapter | 7 |
Date Published | 01/2022 |
Publisher | Universitetsforlaget |
ISBN Number | 9788215052557 |
Journal articles
Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels
IEEE Transactions on Vehicular Technology (2022).Status: Published
Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels
Most recent works in device-to-device (D2D) underlay communications focus on the optimization of either power or channel allocation to improve the spectral efficiency, and typically consider uplink and downlink separately. Further, several of them also assume perfect knowledge of channel state information (CSI). In this paper, we formulate a joint uplink and downlink resource allocation scheme, which assigns both power and channel resources to D2D pairs and cellular users in an underlay network scenario. The objective is to maximize the overall network rate while maintaining fairness among the D2D pairs. In addition, we also consider imperfect CSI, where we guarantee a certain outage probability to maintain the desired quality-of-service (QoS). The resulting problem is a mixed integer non-convex optimization problem and we propose both centralized and decentralized algorithms to solve it, using convex relaxation, fractional programming, and alternating optimization. In the decentralized setting, the computational load is distributed among the D2D pairs and the base station, keeping also a low communication overhead. Moreover, we also provide a theoretical convergence analysis, including also the rate of convergence to stationary points. The proposed algorithms have been experimentally tested in a simulation environment, showing their favorable performance, as compared with the state-of-the art alternatives.
Afilliation | Communication Systems |
Project(s) | Signal and Information Processing for Intelligent Systems |
Publication Type | Journal Article |
Year of Publication | 2022 |
Journal | IEEE Transactions on Vehicular Technology |
Publisher | IEEE |
Place Published | IEEE Transactions on Vehicular Technology |
ISSN | 0018-9545 |
DOI | 10.1109/TVT.2022.3145011 |
Proceedings, refereed
Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
In IEEE Wireless Communications and Networking Conference (WCNC). IEEE Wireless Communications and Networking Conference (WCNC): IEEE, 2022.Status: Published
Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
In this paper, we investigate the application of transfer learning to train a DNN model for joint channel and power allocation in underlay Device-to-Device communication. Based on the traditional optimization solutions, generating training dataset for scenarios with perfect CSI is not computationally demanding, compared to scenarios with imperfect CSI. Thus, a transfer learning-based approach can be exploited to transfer the DNN model trained for the perfect CSI scenarios to the imperfect CSI scenarios. We also consider the issue of defining the similarity between two types of resource allocation tasks. For this, we first determine the value of outage probability for which two resource allocation tasks are same, that is, for which our numerical results illustrate the minimal need of relearning from the transferred DNN model. For other values of outage probability, there is a mismatch between the two tasks and our results illustrate a more efficient relearning of the transferred DNN model. Our results show that the learning dataset required for relearning of the transferred DNN model is significantly smaller than the required training dataset for a DNN model without transfer learning.
Afilliation | Communication Systems, Machine Learning |
Project(s) | Signal and Information Processing for Intelligent Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2022 |
Conference Name | IEEE Wireless Communications and Networking Conference (WCNC) |
Publisher | IEEE |
Place Published | IEEE Wireless Communications and Networking Conference (WCNC) |
Load Distribution for Mobile Edge Computing with Reliable Server Pooling
In Proceedings of the 4th International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC) in conjunction with the 36th International Conference on Advanced Information Networking and Applications (AINA). Sydney, New South Wales/Australia: Springer, 2022.Status: Accepted
Load Distribution for Mobile Edge Computing with Reliable Server Pooling
Energy-efficient computing model is a popular choice for high performance as well as throughput oriented computing ecosystems. Mobile (computing) devices are becoming increasingly ubiquitous to our computing domain, but with limited resources (true both for computation as well as for energy). Hence, workload offloading from resource-constrained mobile devices to the Edge and maybe (later) to the cloud become necessary as well as useful. Thanks to the persistent technical breakthroughs in global wireless standards (or in mobile networks) together with the almost limitless amount of resources in public cloud platforms, workload offloading is possible and cheaper. In such scenarios, Mobile Edge Computing (MEC) resources could be provisioned in proximity to the users for supporting latency-sensitive applications. Here, two relevant problems could be: i) How to distribute workload to the resource pools of MEC as well as public (multi-)clouds? ii) How to manage such resource pools effectively? To answer these problems in this paper, we examine the performance of our proposed approach using the Reliable Server Pooling (RSerPool) framework in more detail. We also have outlined the resource pool management policies to effectively use RSerPool for workload offloading from mobile devices into the cloud/MEC ecosystem.
Afilliation | Communication Systems |
Project(s) | 5G-VINNI: 5G Verticals INNovation Infrastructure , NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, SMIL: SimulaMet Interoperability Lab, MELODIC: Multi-cloud Execution-ware for Large-scale Optimised Data-Intensive Computing |
Publication Type | Proceedings, refereed |
Year of Publication | 2022 |
Conference Name | Proceedings of the 4th International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC) in conjunction with the 36th International Conference on Advanced Information Networking and Applications (AINA) |
Publisher | Springer |
Place Published | Sydney, New South Wales/Australia |
Keywords | Cloud computing, Load Distribution, Mobile Edge Computing (MEC), Multi-Cloud Computing, Reliable Server Pooling (RSerPool), Serverless Computing |
RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.Status: Accepted
RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks
The rapid increase in mobile data traffic and the number of connected devices and applications in networks is putting a significant pressure on the current network management approaches that heavily rely on human operators. Consequently, an automated network management system that can efficiently predict and detect anomalies is needed. In this paper, we propose, RCAD, a novel distributed architecture for detecting anomalies in network data forwarding latency in an unsupervised fashion. RCAD employs the hierarchical temporal memory (HTM) algorithm for the online detection of anomalies. It also involves a collaborative distributed learning module that facilitates knowledge sharing across the system. We implement and evaluate RCAD on real world measurements from a commercial mobile network. RCAD achieves over 0.7 F-1 score significantly outperforming the state-of-the-art methods.
Afilliation | Communication Systems, Machine Learning |
Project(s) | The Center for Resilient Networks and Applications, Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2022 |
Conference Name | ACM SIGKDD Conference on Knowledge Discovery and Data Mining |
Crosslayer Network Outage Classification Using Machine Learning
In Applied Networking Research Workshop (ANRW), 2022.Status: Accepted
Crosslayer Network Outage Classification Using Machine Learning
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2022 |
Conference Name | Applied Networking Research Workshop (ANRW) |
Public outreach
Chinese Cyberwarfare - interview in French TV-program
arte.tv, 2022.Status: Published
Chinese Cyberwarfare - interview in French TV-program
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Public outreach |
Year of Publication | 2022 |
Publisher | arte.tv |
URL | https://www.arte.tv/en/videos/092189-000-A/chinese-cyberwarfare/ |
Cybersikkerhet med Olav Lysne
lorn.tech: Lørntech, 2022.Status: Published
Cybersikkerhet med Olav Lysne
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Public outreach |
Year of Publication | 2022 |
Publisher | Lørntech |
Place Published | lorn.tech |
Type of Work | Masterclass |
URL | https://www.lorn.tech/cybersikkerhet-med-olav-lysne/1126-leksjon-2-i-cyb... |
Hvorfor er vi redde for Huawei?
NUPI, 2022.Status: Published
Hvorfor er vi redde for Huawei?
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Public outreach |
Year of Publication | 2022 |
Publisher | NUPI |
Type of Work | Podcast |
URL | https://shows.acast.com/utenrikshospitalet/episodes/hvorfor-er-vi-redde-... |
Talks, contributed
NorNet – A Linux- and Open-Source-Software-based International Platform for Networking Research
In Virtual. Melbourne, Australia: Linux Conference Australia, 2022.Status: Published
NorNet – A Linux- and Open-Source-Software-based International Platform for Networking Research
The NorNet testbed (https://www.nntb.no) is an Internet testbed platform for research on multi-homed systems. The particular property of multi-homed systems is to be connected to multiple Internet Service Providers (ISP) simultaneously. Its initial purpose is of course to still provide connectivity in case of ISP/network failures. But does it really work that well, also with current protocols and applications? And redundancy does not come for free. A user connected to multiple ISPs will also receive multiple Internet bills each month. So, is there a possibility to make further use of multi-homing in the usual case where nothing goes wrong? Obviously, there are a lot of interesting research questions, which need to be examined in realistic Internet setups! Therefore, we are building up the NorNet open Internet testbed platform as a Linux- and Open-Source-software-based infrastructure, which currently spreads over multiple sites in different countries.
NorNet makes extensive use of advanced Linux features like Kernel-based Virtualisation (KVM), Linux Containers (LXC), BTRFS file system features, IP routing rules, Stream Control Transmission Protocol (SCTP), Multi-Path TCP (MPTCP), and many more. The goal of this talk is therefore to present an overview of the testbed, its underlying Linux features, and how they are combined to provide the multi-homing features to the various testbed users. This particularly includes an overview of how to make use of multi-path transport with MPTCP – based on the Linux MPTCP implementation – in multi-homed environments. The idea is to provide guidelines for also utilising multi-homing features in own projects.
Afilliation | Communication Systems |
Project(s) | NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, 5G-VINNI: 5G Verticals INNovation Infrastructure |
Publication Type | Talks, contributed |
Year of Publication | 2022 |
Location of Talk | Virtual |
Publisher | Linux Conference Australia |
Place Published | Melbourne, Australia |
Keywords | Linux, Multi-Homing, Multi-Path Transport, NorNet, Open Source, Testbed |
URL | https://lca2022.linux.org.au/schedule/presentation/52/ |