Search Results - "Win, Z."

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  1. 1

    Fundamental Limits of Wideband Localization- Part I: A General Framework by Yuan Shen, Win, M Z

    Published in IEEE transactions on information theory (01-10-2010)
    “…The availability of position information is of great importance in many commercial, public safety, and military applications. The coming years will see the…”
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  2. 2

    Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial by ElSawy, Hesham, Sultan-Salem, Ahmed, Alouini, Mohamed-Slim, Win, Moe Z.

    “…This paper presents a tutorial on stochastic geometry (SG)-based analysis for cellular networks. This tutorial is distinguished by its depth with respect to…”
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  3. 3

    Fundamental Limits of Wideband Localization- Part II: Cooperative Networks by Yuan Shen, Wymeersch, H, Win, M Z

    Published in IEEE transactions on information theory (01-10-2010)
    “…The availability of position information is of great importance in many commercial, governmental, and military applications. Localization is commonly…”
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  4. 4

    Network Operation Strategies for Efficient Localization and Navigation by Win, Moe Z., Dai, Wenhan, Shen, Yuan, Chrisikos, George, Vincent Poor, H.

    Published in Proceedings of the IEEE (01-07-2018)
    “…Reliable and accurate position information is of great importance for many mass-market and emerging applications. Network localization and navigation (NLN) is…”
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  5. 5

    Cooperative Localization in Wireless Networks by Wymeersch, Henk, Lien, Jaime, Win, Moe Z.

    Published in Proceedings of the IEEE (01-02-2009)
    “…Location-aware technologies will revolutionize many aspects of commercial, public service, and military sectors, and are expected to spawn numerous unforeseen…”
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  6. 6

    Power Optimization for Network Localization by Shen, Yuan, Dai, Wenhan, Win, Moe Z.

    Published in IEEE/ACM transactions on networking (01-08-2014)
    “…Reliable and accurate localization of mobile objects is essential for many applications in wireless networks. In range-based localization, the position of the…”
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  7. 7

    A Machine Learning Approach to Ranging Error Mitigation for UWB Localization by Wymeersch, H., Marano, S., Gifford, W. M., Win, M. Z.

    Published in IEEE transactions on communications (01-06-2012)
    “…Location-awareness is becoming increasingly important in wireless networks. Indoor localization can be enabled through wideband or ultra-wide bandwidth (UWB)…”
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  8. 8

    Network Navigation: Theory and Interpretation by Yuan Shen, Mazuelas, S., Win, M. Z.

    “…Real-time and reliable location information of mobile nodes is a key enabler for many emerging wireless network applications. Such information can be obtained…”
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  9. 9

    Distributed Power Allocation for Cooperative Wireless Network Localization by Wenhan Dai, Yuan Shen, Win, Moe Z.

    “…Device-to-device (D2D) communication in cellular networks is a promising concept that permits cooperation among mobile devices not only to increase data…”
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  10. 10

    MIMO Diversity in the Presence of Double Scattering by Hyundong Shin, Win, M.Z.

    Published in IEEE transactions on information theory (01-07-2008)
    “…The potential benefits of multiple-antenna systems may be limited by two types of channel degradations-rank deficiency and spatial fading correlation of the…”
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  11. 11

    A Mathematical Theory of Network Interference and Its Applications by Win, Moe Z., Pinto, Pedro C., Shepp, Lawrence A.

    Published in Proceedings of the IEEE (01-02-2009)
    “…In this paper, we introduce a mathematical framework for the characterization of network interference in wireless systems. We consider a network in which the…”
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  12. 12

    Network Experimentation for Cooperative Localization by Conti, A., Guerra, M., Dardari, D., Decarli, N., Win, M. Z.

    “…This paper introduces the notion of network experimentation and proposes an experimentation methodology particularly suited for cooperative wireless networks…”
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  13. 13

    The Feasibility Conditions for Interference Alignment in MIMO Networks by Liangzhong Ruan, Lau, V. K. N., Win, M. Z.

    Published in IEEE transactions on signal processing (01-04-2013)
    “…Interference alignment (IA) has attracted great attention in the last few years for its breakthrough performance in interference networks. However, despite the…”
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  14. 14

    Glucagon increases energy expenditure independently of brown adipose tissue activation in humans by Salem, V., Izzi-Engbeaya, C., Coello, C., Thomas, D. B., Chambers, E. S., Comninos, A. N., Buckley, A., Win, Z., Al-Nahhas, A., Rabiner, E. A., Gunn, R. N., Budge, H., Symonds, M. E., Bloom, S. R., Tan, T. M., Dhillo, W. S.

    Published in Diabetes, obesity & metabolism (01-01-2016)
    “…Aims To investigate, for a given energy expenditure (EE) rise, the differential effects of glucagon infusion and cold exposure on brown adipose tissue (BAT)…”
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  15. 15

    Cooperative Communications with Outage-Optimal Opportunistic Relaying by Bletsas, A., Hyundong Shin, Win, M.Z.

    “…In this paper, we present simple opportunistic relaying with decode-and-forward (DaF) and amplify-and-forward (AaF) strategies under an aggregate power…”
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  16. 16

    Cognitive Network Interference by Rabbachin, A, Quek, T Q S, Hyundong Shin, Win, M Z

    “…Opportunistic spectrum access creates the opening of under-utilized portions of the licensed spectrum for reuse, provided that the transmissions of secondary…”
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  17. 17

    Secure Communication in Stochastic Wireless Networks-Part I: Connectivity by Pinto, Pedro C., Barros, Joao, Win, Moe Z.

    “…The ability to exchange secret information is critical to many commercial, governmental, and military networks. Information-theoretic security-widely accepted…”
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  18. 18

    A Scalable Algorithm for Network Localization and Synchronization by Meyer, Florian, Etzlinger, Bernhard, Liu, Zhenyu, Hlawatsch, Franz, Win, Moe Z.

    Published in IEEE internet of things journal (01-12-2018)
    “…The Internet of Things (IoT) will seamlessly integrate a large number of densely deployed heterogeneous devices and will enable new location-aware services…”
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  19. 19

    Spectrum Occupancy and Interference Model Based on Network Experimentation in Hospital by Mucchi, Lorenzo, Vuohtoniemi, Risto, Virk, Hasnain, Conti, Andrea, Hamalainen, Matti, Iinatti, Jari, Win, Moe Z.

    “…Emerging healthcare radio technologies are designed to operate in the 2.4GHz industrial, scientific and medical (ISM) band. Since both standardized (Bluetooth…”
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  20. 20

    Power Management for Cooperative Localization: A Game Theoretical Approach by Junting Chen, Wenhan Dai, Yuan Shen, Lau, Vincent K. N., Win, Moe Z.

    Published in IEEE transactions on signal processing (15-12-2016)
    “…Network cooperation among agents can significantly increase their position accuracy at the cost of power consumption. Current power management techniques aim…”
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