Alexe E Leu

age ~54

from Arlington, VA

Also known as:
  • Leu Alexe
Phone and address:
1200 N Veitch St APT 939, Arlington, VA 22201
7577240018

Alexe Leu Phones & Addresses

  • 1200 N Veitch St APT 939, Arlington, VA 22201 • 7577240018
  • 2736 Randolph St, Arlington, VA 22207
  • Fairfax, VA
  • 1200 N Veitch St APT 939, Arlington, VA 22201

Work

  • Company:
    Mitre
  • Position:
    Lead and senior communications engineer

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    George Mason University

Skills

Simulations • Rf • Spectrum Management • Channel Modeling • Mimo • Machine Learning • Artificial Intelligence • Interference Alignment • Interference Cancellation • Cognitive Radio • Probabilistic Models • Signal Processing • Mobile Communications • Wireless Networking • Statistical Modeling • 4G • Lte • Traffic Engineering • Matlab • C • C++ • Opnet • Apptransactionxpert • Python • Algorithms • Cdma • Wimax • Interference Mitigation • Monte Carlo Simulation • Systems Engineering • R&D Experience • Standards Development • Network Optimization • Integer Programming • Cellular Communications • Wave Propagation • Array Processing • Interference Analysis • Statistical Data Analysis • Statistical Programming • Wan Optimisation • Simulated Annealing • Satellite Communications • Technical Leadership • Adaptive Systems

Industries

Wireless

Resumes

Alexe Leu Photo 1

Alexe Leu

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Location:
Washington, DC
Industry:
Wireless
Work:
Mitre
Lead and Senior Communications Engineer

Next Generation
Co-Principal Investigator

Politehnica University of Bucharest
Research Engineer

Wireless Communication and Networking Technologies
Technical Leader

Ecs Federal, Llc
Principal Research Engineer
Education:
George Mason University
Doctorates, Doctor of Philosophy
University Politehnica of Bucharest
Master of Science, Masters
University Politehnica of Bucharest
Bachelors, Bachelor of Science
Skills:
Simulations
Rf
Spectrum Management
Channel Modeling
Mimo
Machine Learning
Artificial Intelligence
Interference Alignment
Interference Cancellation
Cognitive Radio
Probabilistic Models
Signal Processing
Mobile Communications
Wireless Networking
Statistical Modeling
4G
Lte
Traffic Engineering
Matlab
C
C++
Opnet
Apptransactionxpert
Python
Algorithms
Cdma
Wimax
Interference Mitigation
Monte Carlo Simulation
Systems Engineering
R&D Experience
Standards Development
Network Optimization
Integer Programming
Cellular Communications
Wave Propagation
Array Processing
Interference Analysis
Statistical Data Analysis
Statistical Programming
Wan Optimisation
Simulated Annealing
Satellite Communications
Technical Leadership
Adaptive Systems

Us Patents

  • Cellular Network Handoff Decision Mechanism

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  • US Patent:
    7218933, May 15, 2007
  • Filed:
    Mar 10, 2005
  • Appl. No.:
    11/075983
  • Inventors:
    Brian Mark - Fairfax VA, US
    Alexe E. Leu - Arlington VA, US
  • Assignee:
    George Mason Intellectual Properties, Inc. - Fairfax VA
  • International Classification:
    H04Q 7/20
  • US Classification:
    455437, 455439, 455438, 455436, 370331, 370332
  • Abstract:
    Disclosed is a cellular network handoff decision mechanism which comprising the steps of: determining a sampling interval using a carrier wavelength; determining a local averaging interval that is larger than the sampling interval; determining a handoff decision interval that is larger than the local averaging interval; selecting at least two base stations from a multitude of base stations having a pilot signal from a reference cellular network using a selection criterion; determining a received signal strength from the pilot signal strength for each of the selected base stations once during every sampling interval; calculating a local average signal strength value using each of the received signal strengths once during every local averaging interval; determining an assignment region in which the local average signal strength value lies using a hysteresis range; and calculating a handoff decision once during every handoff decision interval using a handoff calculation.
  • Method And System For Determining Spectrum Availability Within A Network

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  • US Patent:
    7564816, Jul 21, 2009
  • Filed:
    May 12, 2006
  • Appl. No.:
    11/432536
  • Inventors:
    Mark Allen McHenry - McLean VA, US
    Alexe E. Leu - Arlington VA, US
  • Assignee:
    Shared Spectrum Company - Vienna VA
  • International Classification:
    H04W 4/00
    H04B 17/00
  • US Classification:
    370329, 455 6713
  • Abstract:
    A method and transceiver for determining spectrum availability within a give area is disclosed. The given area includes cells in a grid. A belief evaluator receives a measurement from a signal and assigns an instantaneous belief indicator, an instantaneous disbelief indicator and an instantaneous ignorance indicator based on a detection threshold and the power level of the measurement. The indicators quantify the probability of a presence of a transmitter within the grid cell. A belief accumulator uses the instantaneous indicators along with accumulated belief, disbelief and ignorance indicators from previous measurements to determine cumulative belief, disbelief and ignorance indicators. The accumulated belief, disbelief and ignorance indicators are the results of previous measurements and belief/disbelief/ignorance determinations for the grid cell. An allocator indicates the status of the grid cell and whether a spectrum is available. If a spectrum is available, then the grid cell is added to other available cells within the area to generate the spectrum hole.
  • Method And System For Determining Spectrum Availability Within A Network

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  • US Patent:
    8064840, Nov 22, 2011
  • Filed:
    Jun 18, 2009
  • Appl. No.:
    12/487257
  • Inventors:
    Mark Allen McHenry - McLean VA, US
    Alexe E. Leu - Arlington VA, US
  • Assignee:
    Shared Spectrum Company - Vienna VA
  • International Classification:
    H04B 17/00
  • US Classification:
    455 6716
  • Abstract:
    A method and transceiver for determining spectrum availability within a give area is disclosed. The given area includes cells in a grid. A belief evaluator receives a measurement from a signal and assigns an instantaneous belief indicator, an instantaneous disbelief indicator and an instantaneous ignorance indicator based on a detection threshold and the power level of the measurement. The indicators quantify the probability of a presence of a transmitter within the grid cell. A belief accumulator uses the instantaneous indicators along with accumulated belief, disbelief and ignorance indicators from previous measurements to determine cumulative belief, disbelief and ignorance indicators. The accumulated belief, disbelief and ignorance indicators are the results of previous measurements and belief/disbelief/ignorance determinations for the grid cell. An allocator indicates the status of the grid cell and whether a spectrum is available. If a spectrum is available, then the grid cell is added to other available cells within the area to generate the spectrum hole.
  • Cellular Network Handoff Modeling

    view source
  • US Patent:
    7181221, Feb 20, 2007
  • Filed:
    Sep 26, 2003
  • Appl. No.:
    10/670467
  • Inventors:
    Brian L. Mark - Fairfax VA, US
    Alexe E. Leu - Arlington VA, US
  • Assignee:
    George Mason Intellectual Properties, Inc. - Fairfax VA
  • International Classification:
    H04Q 7/20
  • US Classification:
    455436, 455443, 370331
  • Abstract:
    Disclosed is a system for evaluating the performance of cellular network handoff decisions. One embodiment of this system includes the steps of: creating a reference cellular network description; creating reduced geometric structures from the reference cellular network description; representing a general trajectory for a mobile unit in the reference cellular network description; approximating the general trajectory with a piecewise path having a multitude of handoff decision points; selecting a handoff mechanism; selecting handoff parameters; creating a discrete-time formulation characterizing handoff behaviors; and calculating at least one handoff performance metric. The handoff performance metrics may include assignment probabilities; handoff probabilities; a mean number of handoff value; a crossover point; and overall signaling load incurred by a handoff mechanism.

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