error
Kurzer Serviceunterbruch am Donnerstag, 3. März 2026, 12 bis 13 Uhr. Sie können in diesem Zeitraum keine neuen Dokumente hochladen oder bestehende Einträge bearbeiten. Das Login wird in diesem Zeitraum deaktiviert. Grund: Wartungsarbeiten // Short service interruption on Thursday, March 3, 2026, 12.00 – 13.00. During this time, you won’t be able to upload new documents or edit existing records. The login will be deactivated during this time. Reason: maintenance work
 

Journal: IEEE Journal on Selected Areas in Communications

Loading...

Abbreviation

IEEE j. sel. areas commun.

Publisher

IEEE

Journal Volumes

ISSN

0733-8716
1558-0008

Description

Search Results

Publications 1 - 10 of 29
  • Fading relay channels
    Item type: Journal Article
    Nabar, R.U.; Bölcskei, Helmut; Kneubuhler, F.W. (2004)
    IEEE Journal on Selected Areas in Communications
  • Wang, Ziyi; Zumegen, Frederik; Studer, Christoph (2025)
    IEEE Journal on Selected Areas in Communications
    The ongoing convergence of spectrum and hardware requirements for wireless sensing and communication applications has fueled the integrated sensing and communication (ISAC) paradigm in next-generation networks. Neural-network-based ISAC leverages data-driven learning techniques to add sensing capabilities to existing communication infrastructure. This paper presents a novel signal-processing framework for such neural ISAC systems based on the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) downlink. Our approach enables generalized sensing functionality without modifying the MIMO-OFDM communication link. Specifically, our neural ISAC pipeline measures the backscattered communication signals to generate discrete map representations of spatial occupancy, formulated as multiclass or multilabel classification problems, which can then be utilized by specialized downstream tasks. To improve sensing performance in closed or cluttered environments, our neural ISAC pipeline relies on features specifically designed to mitigate strong reflective paths. Extensive simulations using ray-tracing models demonstrate that our neural ISAC framework reliably reconstructs scene maps without altering the MIMO-OFDM communication pipeline or reducing data rates.
  • Rankov, Boris; Wittneben, Armin (2007)
    IEEE Journal on Selected Areas in Communications
  • The Autonomic Network Architecture (ANA)
    Item type: Journal Article
    Bouabene, Ghazi; Jelger, Christophe; Tschudin, Christian; et al. (2010)
    IEEE Journal on Selected Areas in Communications
  • Adjoudani, A.; Beck, E.C.; Burg, A.P.; et al. (2003)
    IEEE Journal on Selected Areas in Communications
  • Li, Zixiao; Mirfarshbafan, Seyedhadi; Castañeda Fernández, Oscar; et al. (2025)
    IEEE Journal on Selected Areas in Communications
    We present a 22nm FD-SOI (fully depleted silicon-on-insulator) application-specific integrated circuit (ASIC) implementation of a novel soft-output Gram-domain block coordinate descent (GBCD) data detector for massive multi-user (MU) multiple-input multiple-output (MIMO) systems. The ASIC simultaneously addresses the high throughput requirements for millimeter wave (mmWave) communication, stringent area and power budget per subcarrier in an orthogonal frequency-division multiplexing (OFDM) system, and error-rate performance challenges posed by realistic mmWave channels. The proposed GBCD algorithm utilizes a posterior mean estimate (PME) denoiser and is optimized using deep unfolding, which results in superior error-rate performance even in scenarios with highly correlated channels or where the number of user equipment (UE) data streams is comparable to the number of basestation (BS) antennas. The fabricated GBCD ASIC supports up to 16 UEs transmitting QPSK to 256-QAM symbols to a 128-antenna BS, and achieves a peak throughput of 7.1 Gbps at 367mW. The core area is only 0.97mm2 thanks to a reconfigurable array of processing elements that enables extensive resource sharing. Measurement results demonstrate that the proposed GBCD data-detector ASIC achieves best-in-class throughput and area efficiency.
  • Network discovery and verification
    Item type: Journal Article
    Beerliova, Zuzana; Eberhard, Felix; Erlebach, Thomas; et al. (2006)
    IEEE Journal on Selected Areas in Communications
  • Kuhn, Marc; Berger, Stefan; Hammerström, Ingmar; et al. (2006)
    IEEE Journal on Selected Areas in Communications
  • Pöpper, Christina; Strasser, Mario; Capkun, Srdjan (2010)
    IEEE Journal on Selected Areas in Communications
  • Cittadini, Luca; Mühlbauer, Wolfgang; Uhlig, Steve; et al. (2010)
    IEEE Journal on Selected Areas in Communications
    Internet routing table size growth and BGP update churn are two prominent Internet scaling issues. There is widespread belief in a high and fast growing number of ASs that deaggregate prefixes, e.g., due to multi-homing and for the purpose of traffic engineering. Moreover, researchers often blame specific classes of ASs for generating a disproportionate amount of BGP updates. Our primary objective is to challenge such widespread assumptions (“myths”) and not solely to confirm previous findings. Surprisingly, we find severe discrepancies between existing myths and reality. According to our results, there is no trend towards more aggressive prefix deaggregation or traffic engineering over time. With respect to update dynamics, we observe that deaggregated prefixes generally do not generate a disproportionate number of BGP updates, with respect to their share of the BGP routing table. On the other side, we observe much more widespread traffic engineering in the form of AS path prepending and scoped advertisements compared to previous studies. Overall, our work gives a far more positive picture compared to the alarming discourses typically heard: The impact of “bad guys” on routing table size growth and BGP churn has not changed for the worse in recent years. Rather, it increases at the same pace as the Internet itself.
Publications 1 - 10 of 29