| 1. |
- Erkip, Elza, et al.
(author)
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Editorial Issue on 'Information Theoretic Foundations of Future Communication Systems'
- 2022
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In: IEEE Journal on Selected Areas in Information Theory. - 2641-8770. ; 3:1, s. 2-4
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Journal article (other academic/artistic)abstract
- Information theory, starting with Shannon’s groundbreaking work, has fundamentally shaped the way communication systems are designed and operated. Information theoretic principles form the underpinnings of modern communication networks. This issue explores how new advances in information theory can impact future communication systems. Several papers address issues at the heart of next generation wireless and wired networks: Multiple access, including access by a massive number of devices, multi-hop, large antenna arrays, communication security, and timeliness of information. Others consider new applications such as joint communication and sensing, communication for learning and inference, wireless imaging, and new storage mediums such as DNA, thereby providing the information theoretic foundations of modalities beyond human-to-human communications.
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| 2. |
- Kong, Linghe, et al.
(author)
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Autonomous Relay for Millimeter-Wave Wireless Communications
- 2017
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In: IEEE Journal on Selected Areas in Communications. - : Institute of Electrical and Electronics Engineers (IEEE). - 0733-8716 .- 1558-0008. ; 35:9, s. 2127-2136
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Journal article (peer-reviewed)abstract
- Millimeter-wave (mmWave) communication is the rising technology for next-generation wireless transmission. Benefited by its abundant bandwidth and short wavelength, mmWave is advanced in multi-gigabit transmittability and beamforming. In contrast, the short wavelength also makes mmWave easily blocked by obstacles. In order to bypass these obstacles, relays are widely needed in mmWave communications. Unmanned autonomous vehicles (UAVs), such as drones and self-driving robots, enable the mobile relays in real applications. Nevertheless, it is challenging for a UAV to find its optimal relay location automatically. On the one hand, it is difficult to find the location accurately due to the complex and dynamic wireless environment; on the other hand, most applications require the relay to forward data immediately, so the autonomous process should be fast. To tackle this challenge, we propose a novel method AutoRelay specialized for mmWave communications. In AutoRelay, the UAV samples the link qualities of mmWave beams while moving. Based on the real-time sampling, the UAV gradually adjusts its path to approach the optimal location by leveraging compressive sensing theory to estimate the link qualities in candidate space, which increases the accuracy and save the time. Performance results demonstrate that AutoRelay outperforms existing methods in achieving an accurate and efficient relay strategy.
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| 3. |
- Papadogiannis, Agisilaos, 1982, et al.
(author)
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Efficient Interference Mitigating Strategies for Two-Way Relay Channels
- 2011
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In: Proceedings of the International Symposium on Wireless Communication Systems. - 2154-0217 .- 2154-0225. - 9781612844022 ; , s. 680-684
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Conference paper (peer-reviewed)abstract
- Hierarchical wireless networks have the potential to provide the needed capacity to a large number of mobile stations (MSs). According to this system architecture, the MSs are served by a dense network of fixed relay nodes (RNs) fed by a small number of large hub base stations (HBSs). In such deployment, high spectral efficiencies can be achieved if the RNs act as two-way relays; however this gives rise to co-channel interference (CCI) which needs to be mitigated. In order to gain insights on the impact of CCI to this scenario we consider an HBS with two highly directional antennas communicating with two MSs via two interfering two-way RNs. We investigate the average maximum sum-rate of two cooperative strategies. The first is based on Decode-and-Forward (DF) and network coding and acts as a baseline. The second strategy is based on Amplify-and-Forward (AF) and Network MIMO processing over both the backhaul and access channels. Furthermore we devise some cooperative protocols that utilize two, three or four time slots. It is shown that the 2-slot schemes perform generally better and that the DF strategy achieves superior performance when CCI is low while AF with Network MIMO is superior when CCI is high.
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| 4. |
- Papadogiannis, Agisilaos, 1982, et al.
(author)
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On the Maximum Achievable Sum-Rate of Interfering Two-Way Relay Channels
- 2012
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In: IEEE Communications Letters. - 1558-2558 .- 1089-7798. ; 16:1, s. 72-75
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Journal article (peer-reviewed)abstract
- Hierarchical networks can provide very high data rates to multiple mobile stations (MSs) through a dense network of fixed relay nodes (RNs) fed by few hub base stations (HBSs). In order to achieve high spectral efficiencies RNs can act as two-way RNs. However the dense RN deployment gives rise to high co-channel interference (CCI) that limits sum-rate performance. In this letter we consider a simple hierarchical network consisting of an HBS with two highly directional antennas communicating with two MSs via two interfering two-way RNs. To mitigate CCI and boost sum-rates we propose a two-way relaying strategy based on AF combined with Network MIMO processing which is applied over the concatenation of the backhaul and access network channels. We compare our proposed strategy with a baseline DF approach and we show that it performs significantly better when CCI is dominant.
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| 5. |
- Ráth, Andre, et al.
(author)
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ML-Enabled Outdoor User Positioning in 5G NR Systems via Uplink SRS Channel Estimates
- 2023
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In: ICC 2023 - IEEE International Conference on Communications : Sustainable Communications for Renaissance - Sustainable Communications for Renaissance. - 1550-3607. - 9781538674628 ; 2023-May, s. 2215-2220
-
Conference paper (peer-reviewed)abstract
- Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks. Besides, Machine Learning (ML) techniques are foreseen to become an integrated part of 5G NR systems improving radio performance and reducing complexity. In this paper, we investigate ML techniques for positioning using 5G NR fingerprints consisting of uplink channel estimates from the physical layer channel. We show that it is possible to use Sounding Reference Signals (SRS) channel fingerprints to provide sufficient data to infer user position. Furthermore, we show that small fully-connected moderately Deep Neural Networks, even when applied to very sparse SRS data, can achieve successful outdoor user positioning with meter-level accuracy in a commercial 5G environment.
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