Medical School Wright State University Boonshoft School Of Medicine Graduated: 1983 Medical School Medical College Of Ohio & Affiliated Hospitals Graduated: 1983 Medical School St. Elizabeth Medical Center Graduated: 1983
Us Patents
System And Method For Providing Radio Frequency Conditions For Testing Wireless Communications Equipment
An apparatus and a method for recreating radio frequency (RF) conditions of a cellular network extracts significant RF effects from field test data, and recreates variable RF attenuation using a multi-channel attenuator. A field data processor converts the field test data to time-varying attenuator control values for each channel of the multi-channel attenuator. Accordingly, a mobile in the lab which is connected to the multi-channel attenuator sees the same carrier and interference levels that were observed in the field environment, allowing cellular communication equipment testing without repeated field testing.
System And Method For Establishing And/Or Maintaining A Data Session Across Packet Data Networks
Peretz Moshes Feder - Englewood NJ, US Gang Li - Bridgewater NJ, US Martin Howard Meyers - Montclair NJ, US Ajay Rajkumar - Morristown NJ, US
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
H04Q 7/20
US Classification:
455443, 455436, 455438, 455439, 4554352, 4554353
Abstract:
A communication system selection algorithm (SSA) implemented by a mobile station chooses between available systems to select a system to serve the mobile station. During initialization, the SSA causes the mobile station to scan the environment and compare available communication systems to determine the best system to provide service. After an initial system is chosen, the SSA causes the mobile station to continuously, or at discrete time intervals, scan the environment for available systems, thus allowing for a seamless switch to an available system whenever a handoff is desired. The SSA chooses the best available system based on measurements of each available system and applying preference rules defined by a service provider and/or user of the mobile station.
Power Control Method With Dtx Frame Detection For A Communication Channel
Martin Howard Meyers - Montclair NJ, US Alexandro Salvarani - Edison NJ, US Carl Francis Weaver - Hanover NJ, US
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
H04B 7/00
US Classification:
455522, 455515, 455509
Abstract:
A method of detecting DTX frames in frames received over a communication channel and a power control method are described, where radio link protocol (RLP) information received over the channel may be received, and one or more frames associated with the RLP information may be determined as an erasure or a DTX frame, based on the RLP information. Such determination may be incorporated into outer loop power control algorithms for adjusting a threshold related to a specified quality of service.
Martin H. Meyers - Montclair NJ, US Alexandro Salvarani - Edison NJ, US Carl F. Weaver - Morris Plains NJ, US
Assignee:
Alcatel Lucent - Paris
International Classification:
H04W 72/00 H04W 4/00 H03C 1/62
US Classification:
455453, 4554522, 4551152, 370329, 370332
Abstract:
A reverse link load control strategy utilizes a total call load metric in place of a reverse signal strength indicator metric for managing reverse link resources. In a disclosed example, a load control module () measures the reverse signal strength indicator () and measures an active cell load () using known techniques. A relationship between the reverse signal strength indicator, the active cell load, an other cell load component and a jammer component provides the ability to determine the other cell load component and the jammer component. Once the other cell load component has been determined, a total call load based upon the active cell load component and the other cell load component provides a useful metric for allocating reverse link resources between existing users and for determining whether to allow a new user, for example.
System And Method For Establishing And/Or Maintaining A Data Session Across Packet Data Networks
Jacco Brok - Enschede, NL Peretz Feder - Englewood NJ, US Gang Li - Bridgewater NJ, US Martin Meyers - Montclair NJ, US Ajay Rajkumar - Morristown NJ, US
International Classification:
H04Q007/20
US Classification:
455434000, 455436000, 455435200
Abstract:
A communication system selection algorithm (SSA) implemented by a mobile station chooses between available systems to select a system to serve the mobile station. During initialization, the SSA causes the mobile station to scan the environment and compare available communication systems to determine the best system to provide service. After an initial system is chosen, the SSA causes the mobile station to continuously, or at discrete time intervals, scan the environment for available systems, thus allowing for a seamless switch to an available system whenever a handoff is desired. The SSA chooses the best available system based on conditions such as bit rate and cost of each available system and applying preference rules defined by a service provider and/or user of the mobile station.
Apparatus And Method For Measuring The Fidelity Of A System
Martin Howard Meyers - Montclair NJ Ahmed A. Tarraf - Bayonne NJ Carl Francis Weaver - Hanover Township, Morris County NJ
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
G06E 100 G06F 1518
US Classification:
395 21
Abstract:
A fidelity measuring apparatus (103). The fidelity measuring apparatus (103) measures the fidelity of a system (101). A preprocessor (109) receives an input signal. The preprocessor (109) also receives an output signal from the system (101). The preprocessor (109) extracts a feature set from the output signal. An artificial intelligence tool (111), trained in the relationship between fidelity and the feature set, generates an output that is a measure of the fidelity of the system (101). A fidelity measuring apparatus (103b) includes a preprocessor (138) and two or more artificial intelligence tools (111-N). The artificial intelligence tools (111-N) are independently trained by input signals from different sources. An averaging circuit (140) averages the output of each artificial intelligence tool (111-N). The fidelity measuring apparatus (103b) operates to produce accurate fidelity measurements independent of the input signal, the source of the input signal and the technology of the system.
Feedback Control System For Telecommunications Systems
Martin H. Meyers - Montclair NJ Ahmed A. Tarraf - Bayonne NJ Carl F. Weaver - Morris Plains NJ
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
G06E 100 G06E 300 G06F 1518 G06G 700
US Classification:
706 21
Abstract:
Telecommunications processing is applied to a reference signal to generate a signal under test. A fidelity measure is generated characterizing the fidelity of the signal under test relative to the reference signal. A control signal is generated from the fidelity measure, where the control signal is used as a feedback signal to adjust the telecommunications processing. In one embodiment, the reference signal is a speech signal and the signal under test is a decoded speech signal generated by encoding, transmitting, and decoding the reference speech signal. The fidelity signal is an average mean opinion score (MOS) and the control signal is used to control the speech decoding processing. For example, the speech decoding processing may involve a speech decoder followed by a post filter, and the control signal is the cut-off frequency of the post filter. Such an embodiment may be applied to real-time speech processing to adjust the speech decoding processing in the receiver of a telecommunications system that includes a speech encoder in a transmitter and a communications network.
Method And Apparatus For Characterizing An Input Signal
Martin H. Meyers - Montclair NJ Ahmed A. Tarraf - Bayonne NJ Carl Francis Weaver - Hanover NJ
Assignee:
Lucent Technologies Inc. - Murray Hill NJ
International Classification:
G06F 1500
US Classification:
395 21
Abstract:
The present invention provides a method and apparatus for measuring at least one signal characteristic. Initially, a set of features is selected which characterize a signal. An intelligent system, such as a neural network, is trained in the relationship between feature sets and signal characteristics. The selected feature set is then extracted from a first input signal. The extracted feature set from the first signal is input to the trained intelligent system. The intelligent system creates an output signal based on the feature set extracted from the first input signal. This output signal is then used to characterize the input signal. In one embodiment, the invention assesses voice quality, typically as expressed in MOS scores, in a manner which accurately corresponds to the analysis of human evaluators. For voice signals processed by voice coders, the present invention provides a measurement technique which is independent of various voice coding algorithms and consistent for any given algorithm.