Blar i ODA Open Digital Archive på forfatter "Engelstad, Paal E."

Viser treff 21-34 av 34

    • Joint Energy-Efficient Cooperative Spectrum Sensing and Power Allocation in Cognitive Machine-to-Machine Communications 

      Pham, Hai Ngoc; Zhang, Yan; Skeie, Tor; Engelstad, Paal E.; Eliassen, Frank (Peer reviewed; Chapter, 2016)
      In battery-powered Cognitive Machine-to-Machine Communications (CM2M), the energy consumption, opportunis- tic data access capacity and interference to the licensed system need to be optimized simultaneously. ...

    • Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies 

      Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Bouhoula, Adel (Conference on Local Computer Networks; 2020 IEEE 45th Conference on Local Computer Networks (LCN), Journal article; Peer reviewed, 2021-01-15)
      Policy anomalies are frequent in nowadays’s computer networks due to their increasing configuration complexity. Resolving policy anomalies usually requires network administrator intervention, which is a time-intensive and ...

    • On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE Sensors Journal;Volume: 21, Issue 2, Journal article; Peer reviewed, 2020-08-24)
      In this article, a bidirectional relaying (BR) non-orthogonal multiple access (NOMA) with simultaneous wireless information and power transfer (SWIPT) termed as BR NOMA-SWIPT is proposed and investigated for the Internet ...

    • A parallel approach for detecting OpenFlow rule anomalies based on a general formalism 

      Aryan, Ramtin; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E. (Concurrency and Computation;, Journal article; Peer reviewed, 2020-06-28)
      As the policies of a software-defined networking (SDN) network can be updated dynamically and often at a high pace, conflicts between policies can easily occur. Due to the large number of switches and heterogeneous policies ...

    • Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE Sensors Journal;Volume 19 , Issue 17, Journal article; Peer reviewed, 2019-04-28)
      Owing to the exponential proliferation of the Internet of Things (IoT), it is anticipated that the number of small IoT devices will grow expeditiously over the next few years. These billions of small IoT sensor and devices ...

    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Information Sciences;Volume 595, May 2022, Peer reviewed; Journal article, 2022-02-25)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...

    • Predicting missing pairwise preferences from similarity features in group decision making 

      Abolghasemi, Roza; Khadka, Rabindra; Lind, Pedro; Engelstad, Paal E.; Viedma, Enrique Herrera; Yazidi, Anis (Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)
      In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ...

    • Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements 

      Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (2018 IEEE 17th International Symposium on Network Computing and Applications (NCA);, Chapter; Chapter; Peer reviewed, 2018-11-29)
      Long Short-Term Memory (LSTM) neural networks are a state-of-the-art techniques when it comes to sequence learning and time series prediction models. In this paper, we have used LSTM-based Recurrent Neural Networks (RNN) ...

    • A reinforcement learning based game theoretic approach for distributed power control in downlink NOMA 

      Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE International Symposium on Network Computing and Applications; 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), Chapter; Peer reviewed, 2021-01-05)
      Optimal power allocation problem in wireless networks is known to be usually a complex optimization problem. In this paper, we present a simple and energy-efficient distributed power control in downlink Non-Orthogonal ...

    • RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (Sensors;Volume 18, Issue 10, Journal article; Journal article; Peer reviewed, 2018-09-27)
      Amidst the rapid development of the fifth generation (5G) networks, Internet of Things (IoT) is considered as one of the most important part of 5G next generation networks as it can support massive object communications. ...

    • RF Energy Harvesting and Information Transmission based on Power Splitting and NOMA for IoT Relay Systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav N. (2018 IEEE 17th International Symposium on Network Computing and Applications (NCA);, Chapter; Chapter; Peer reviewed, 2018-11)
      Due to the proliferation of the Internet of Things (loT), an unprecedented expansion of wireless devices and communication among these devices for data transmission is expected over the next few years. IoT devices are ...

    • RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, O.N. (2018 28th International Telecommunication Networks and Applications Conference (ITNAC);, Chapter; Chapter; Peer reviewed, 2018)
      A huge expansion of billions of Internet of Things (IoT) sensor and devices is expected over the next few years which will consume more power. Therefore, energy efficiency is a major concern for the development of fifth ...

    • Security Challenges with Cross-Domain Information Exchange: Integrity and Guessing Attacks 

      Engelstad, Paal E. (Journal article; Peer reviewed, 2015-10)
      Current research on cross-domain information ex- change is advocating to move away from the inflexible Bell-La Padula (BLP) model, into a more complex policy-driven security model where information objects ...

    • Unsupervised State Representation Learning in Partially Observable Atari Games 

      Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal E. (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ...