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Dive into the research topics where Moe Z. Win is active.

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Featured researches published by Moe Z. Win.


IEEE Transactions on Communications | 2003

On the inverse symbol-error probability for diversity reception

Andrea Conti; Moe Z. Win; Marco Chiani

This paper addresses the problem of finding the inverse symbol-error probability (SEP) expression for coherent detection of M-ary phase-shift keying with multichannel reception and maximal ratio combining in Rayleigh fading. To this aim, we derive upper and lower bounds on SEP that are simply invertible and uniformly tight for all values of signal-to-noise ratio. This enables us to obtain tight bounds on the inverse SEP and on the symbol-error outage (SEO), i.e., SEP-based outage probability. As an example of application to digital mobile radio, the SEO in a log-normal shadowing environment is analyzed.


global communications conference | 2001

Exact symbol error probability for optimum combining in the presence of multiple co-channel interferers and thermal noise

Marco Chiani; Moe Z. Win; Alberto Zanella; Jack H. Winters

We derive the exact symbol error probability for coherent detection of MPSK signals with optimum combining in the presence of multiple uncorrelated equal power co-channel interferers and thermal noise in a Rayleigh fading environment. The expression is general and valid for arbitrary numbers of receiving antennas or co-channel interferers. The complexity of the analytical model depends on the smaller of the number of antennas and the number of interferers.


vehicular technology conference | 2004

Ultrawide bandwidth RAKE reception in the presence of narrowband interference

Andrea Giorgetti; Marco Chiani; Moe Z. Win

In this work we derive a closed-form expression for the bit error probability (BEP) of time hopping (TH) ultrawide bandwidth (UWB) systems with RAKE reception in the presence of narrowband interference. We approximate the narrowband interference as a tone interferer and analyze the performance in a realistic scenario where each path is Nakagami-m distributed with arbitrary parameter m for each path. Our approach is based on perturbation theory. Simulation results for narrowband interference such as GSM and Bluetooth are in good agreement with our analytical results based on a tone interferer. It is shown that our analytical results are useful in investigating the coexistence of TH UWB systems with existing wireless systems.


international conference on communications | 2002

A simple and asymptotically tight upper bound on the symbol error probability of adaptive antennas with optimum combining

Marco Chiani; Moe Z. Win; Alberto Zanella; Jack H. Winters

We derive a simple closed-form upper bound on the symbol error probability for coherent detection of M-ary PSK using an array of antennas with optimum combining. We assume multiple equal-power cochannel interferers and thermal noise in a Rayleigh fading environment. The new bound applies for an arbitrary number of antenna elements as well as arbitrary number of interferers, and it is proved to be asymptotically tight. Based on the simplicity of the bound, the signal-to-noise ratio penalty due to cochannel interference is evaluated. Comparisons with simulation is also provided, showing that our bound is useful in a large number of practical interesting cases.


IEEE | 2009

Wireless physical-layer security: The case of colluding eavesdroppers

Moe Z. Win; Pedro C. Pinto; João Barros


IEEE | 2010

Techniques for enhanced physical-layer security

Pedro C. Pinto; João Barros; Moe Z. Win


workshop wireless ad hoc and sensor networks | 2006

Cooperation in bandwidth-constrained wireless sensor networks

Tony Q. S. Quek; Davide Dardari; Moe Z. Win


Proceedings of the IEEE | 2018

Foundations and Trends in Localization Technologies—Part II [Scanning the Issue]

Moe Z. Win; R. Michael Buehrer; George Chrisikos; Andrea Conti; H. Vincent Poor


Proceedings of the IEEE | 2018

Foundations and Trends in Localization Technologies — Part I

Moe Z. Win; R. Michael Buehrer; George Chrisikos; Andrea Conti; H. Vincent Poor


Archive | 2013

Small Cell Networks: Interference modeling for cognitive femtocells

Alberto Rabbachin; Tony Q. S. Quek; Hyundong Shin; Moe Z. Win

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Pedro C. Pinto

École Polytechnique Fédérale de Lausanne

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Alberto Zanella

National Research Council

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Alberto Rabbachin

Massachusetts Institute of Technology

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