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31 results on '"Fitzgerald, Emma"'

1. An Open Dataset Storage Standard for 6G Testbeds

Author

Callebaut, Gilles, primary, Sandra, Michiel, additional, Nelson, Christian, additional, Wilding, Thomas, additional, Delabie, Daan, additional, Deutschmann, Benjamin J. B., additional, Tärneberg, William, additional, Fitzgerald, Emma, additional, Johansson, Anders J., additional, and Van der Perre, Liesbet, additional

Published
2023
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6. The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges

Author

Tärneberg, William, Fitzgerald, Emma, Bhuyan, Monowar, Townend, Paul, Årzén, Karl-Erik, Östberg, Per-Olov, Elmroth, Erik, Eker, Johan, Tufvesson, Fredrik, and Kihl, Maria

Subjects
Communication Systems
Abstract

6G systems, such as Large Intelligent Surfaces, will require distributed, complex, and coordinated decisions throughout a very heterogeneous and cell free infrastructure. This will require a fundamentally redesigned software infrastructure accompanied by massively distributed and heterogeneous computing resources, vastly different from current wireless networks.To address these challenges, in this paper, we propose and motivate the concept of a 6G Computing Continuum (6GCC) and two research testbeds, to advance the rate and quality of research. 6G Computing Continuum is an end-to-end computeand software platform for realizing large intelligent surfaces and its tenant users and applications. One for addressing the challenges or orchestrating shared computational resources in the wireless domain, implemented on a Large Intelligent Surfaces testbed. Another simulation-based testbed is intended to address scalability and global-scale orchestration challenges.

Published
2022

19. Flexible DRX Optimization for LTE and 5G.

Author

Moradi, Farnaz, Fitzgerald, Emma, Pioro, Michal, and Landfeldt, Bjorn

Subjects
*ENERGY consumption, *ONLINE algorithms, *STREAMING video & television, *INTEGER programming, *ALGORITHMS, *LONG-Term Evolution (Telecommunications)
Abstract

With the advancement of the next generation of cellular systems, flexible mechanisms for Discontinuous Reception (DRX) are needed in order to save energy. 5G will bring heterogeneous packet sizes and traffic types, as well as an increasing need for energy efficiency. The current static DRX mechanism is inadequate to meet these needs. In this paper we exploit channel prediction to develop integer programming models. We aim to minimize the energy usage of user devices while streaming video, as well as to create extended sleep opportunities, while simultaneously preventing buffer underflows. We also develop an online algorithm to obtain an efficient solution robust to prediction errors. Our results show that using a variable DRX cycle length can reduce the energy usage by up to 60 percent and 40 percent, in the offline and online cases, respectively, compared with a static DRX configuration. Our proposed online algorithm can also reduce the number of buffer underflows by up to 97 percent compared to the offline case. Both our online and offline solutions can provide extended DRX opportunities, which is required in 5G scenarios. [ABSTRACT FROM AUTHOR]

Published
2020
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23. Massive MIMO Optimization With Compatible Sets.

Author

Fitzgerald, Emma, Pioo, Michal, and Tufvesson, Fredrik

Abstract

Massive multiple-input multiple-output (MIMO) is expected to be a vital component in future 5G systems. As such, there is a need for new modeling in order to investigate the performance of massive MIMO not only at the physical layer but also higher up the networking stack. In this paper, we present general optimization models for massive MIMO, based on mixed-integer programming and compatible sets, with both maximum ratio combining and zero-forcing precoding schemes. We then apply our models to the case of joint device scheduling and power control for heterogeneous devices and traffic demands, in contrast to the existing power control schemes that consider only homogeneous users and saturated scenarios. Our results show that substantial benefits, in terms of energy usage, can be achieved without sacrificing throughput and that both the signaling overhead and the complexity of end devices can be reduced by abrogating the need for uplink power control through efficient scheduling. [ABSTRACT FROM AUTHOR]

Published
2019
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