Search Results - "Laneman, J Nicholas"

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  1. 1

    Cooperative Relaying With State Available Noncausally at the Relay by Zaidi, Abdellatif, Kotagiri, Shiva Prasad, Laneman, J Nicholas, Vandendorpe, Luc

    Published in IEEE transactions on information theory (01-05-2010)
    “…In this paper, we consider a three-terminal state-dependent relay channel (RC) with the channel state noncausally available at only the relay. Such a model may…”
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  2. 2

    Variations on Information Embedding in Multiple Access and Broadcast Channels by Kotagiri, Shiva Prasad, Laneman, J Nicholas

    Published in IEEE transactions on information theory (01-05-2010)
    “…Information embedding (IE) is the transmission of information within a host signal subject to a distortion constraint. There are two types of embedding…”
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  3. 3

    Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks by Pezeshki, Hamed, Sadeghi, Masoumeh, Haenggi, Martin, Laneman, J. Nicholas

    “…Inter-cell interference (ICI) is one of the major performance-limiting factors in the context of modern cellular systems. To tackle ICI, coordinated…”
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  4. 4

    Intermittent Communication by Khoshnevisan, Mostafa, Laneman, J. Nicholas

    Published in IEEE transactions on information theory (01-07-2017)
    “…We formulate a model for intermittent communication that can capture bursty transmissions or a sporadically available channel, where in either case the…”
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  5. 5

    A Training-Based Mutual Information Lower Bound for Large-Scale Systems by Gao, Kang, Meng, Xiangbo, Laneman, J. Nicholas, Chisum, Jonathan D., Bendlin, Ralf, Chopra, Aditya, Hochwald, Bertrand M.

    Published in IEEE transactions on communications (01-08-2022)
    “…We provide a mutual information lower bound that can be used to analyze the effect of training in models with unknown parameters. For large-scale systems, we…”
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  6. 6

    Efficient modeling of low‐resolution millimeter‐wave transceivers for massive MIMO wireless communications systems by Estes, Nicholas, Gao, Kang, Hochwald, Bertrand, Laneman, J. Nicholas, Chisum, Jonathan

    Published in Microwave and optical technology letters (01-04-2021)
    “…We present a high‐fidelity measurement‐based nonlinear model of low‐complexity millimeter‐wave transmit and receive circuits for design and analysis of 1‐bit…”
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  7. 7

    Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks by Laneman, J.N., Wornell, G.W.

    Published in IEEE transactions on information theory (01-10-2003)
    “…We develop and analyze space-time coded cooperative diversity protocols for combating multipath fading across multiple protocol layers in a wireless network…”
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  8. 8

    A 0.71-mW Antenna-Coupled On-Off-Key Receiver for Gbps Millimeter-Wave Wireless Communications by Estes, Nicholas J., Kang, Xiwen, Meng, Xiangbo, Bendlin, Ralf, Chopra, Aditya, Laneman, J. Nicholas, Hochwald, Bertrand M., Chisum, Jonathan D.

    “…This article presents a 39-GHz 800-Mb/s antenna-coupled ON-OFF-key (OOK) receiver with a baseband output capable of driving a 50-<inline-formula> <tex-math…”
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  9. 9

    Three-Dimensional RF Sensor Networks for Widespread Spectrum Monitoring by Kleber, Nikolaus, Chisum, Jonathan D., Hochwald, Bertrand, Laneman, J. Nicholas

    “…Spectrum monitoring could improve spectral management and efficiency by enabling spectrum sharing, strengthening policy enforcement, and facilitating…”
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  10. 10

    Wideband distributed spectrum sharing with multichannel immediate multiple access by Cai, Mingming, Laneman, J. Nicholas

    “…This paper describes a radio architecture for distributed spectrum sharing of multiple channels among secondary users (SUs) in a wide band of frequencies and a…”
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  11. 11

    Directivity in RF Sensor Networks for Widespread Spectrum Monitoring by Kleber, Nikolaus, Haenggi, Martin, Chisum, Jonathan D., Hochwald, Bertrand, Laneman, J. Nicholas

    “…Widespread RF spectrum monitoring could enable data-driven modeling of spectrum usage, enhance spectral utilization, and help automate policy enforcement…”
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  12. 12

    Protocol design and throughput analysis for multi-user cognitive cooperative systems by Krikidis, I., Laneman, J.N., Thompson, J.S., Mclaughlin, S.

    “…This paper deals with protocol design for cognitive cooperative systems with many secondary users. In contrast with previous cognitive configurations, the…”
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  13. 13

    Bandwidth- and power-efficient routing in linear wireless networks by Sikora, M., Laneman, J.N., Haenggi, M., Costello, D.J., Fuja, T.E.

    Published in IEEE transactions on information theory (01-06-2006)
    “…The goal of this paper is to establish which practical routing schemes for wireless networks are most suitable for power-limited and bandwidth-limited…”
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  14. 14

    Incremental Use of Multiple Transmitters for Low-Complexity Diversity Transmission in Wireless Systems by Hesami, P., Laneman, J. N.

    Published in IEEE transactions on communications (01-09-2012)
    “…In this paper we develop and analyze low-complexity approaches called incremental multiple-input multiple-output (IMIMO) for exploiting multiple antennas for…”
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  15. 15

    Cooperative diversity in wireless networks: Efficient protocols and outage behavior by Laneman, J.N., Tse, D.N.C., Wornell, G.W.

    Published in IEEE transactions on information theory (01-12-2004)
    “…We develop and analyze low-complexity cooperative diversity protocols that combat fading induced by multipath propagation in wireless networks. The underlying…”
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  16. 16

    Multiaccess Channels with State Known to Some Encoders and Independent Messages by Kotagiri, Shiva Prasad, Laneman, J. Nicholas

    “…We consider a state-dependent multiaccess channel (MAC) with state noncausally known to some encoders. For simplicity of exposition, we focus on a two-encoder…”
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  17. 17

    Source-channel diversity for parallel channels by Laneman, J.N., Martinian, E., Wornell, G.W., Apostolopoulos, J.G.

    Published in IEEE transactions on information theory (01-10-2005)
    “…We consider transmitting a source across a pair of independent, nonergodic channels with random states (e.g., slow-fading channels) so as to minimize the…”
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  18. 18

    Sequence Detection Algorithms for PHY-Layer Sensing in Dynamic Spectrum Access Networks by Zhanwei Sun, Bradford, G J, Laneman, J N

    “…Spectrum sensing is a critical function for enabling dynamic spectrum access (DSA) in wireless networks that utilize cognitive radio (CR). In DSA networks,…”
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  19. 19

    Energy- and Cost-Efficient Mobile Communication Using Multi-Cell MIMO and Relaying by Rost, P., Fettweis, G., Laneman, J. N.

    “…In this paper, relaying and multi-cell MIMO transmission are investigated as approaches for improving resource reuse and more flexible organization of cellular…”
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  20. 20

    Seamless Dynamic Runtime Reconfiguration in a Software-Defined Radio by Dickens, Michael, Laneman, J. Nicholas, Dunn, Brian P.

    Published in Journal of signal processing systems (01-10-2012)
    “…We discuss implementation aspects of a software-defined radio system that allows for dynamic waveform reconfiguration during runtime without interrupting…”
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