Abstract: The present invention relates to a composition for suppressing chronic obstructive pulmonary disease (COPD) comprising a Pistacia weinmannifolia extract, a fraction thereof, or a compound isolated therefrom and, more particularly, to a pharmaceutical composition for preventing or treating COPD comprising a Pistacia weinmannifolia extract, a fraction thereof, or a compound isolated therefrom; a food composition for preventing or improving COPD, and the compound isolated therefrom. The composition comprising a Pistacia weinmannifolia extract, a fraction thereof, or a compound isolated therefrom, according to the present invention, is not toxic, suppresses the invasion of inflammatory cells into the bronchial tube of a COPD-induced animal model, and effectively suppresses the expression of CXCL-1, TNF-?, or MIP-2.

Abstract: An example method for interference suppression in full duplex cable network environments is provided and includes providing a baseband (BB) reference signal on a first pathway to a signal processor, converting the BB reference signal to a first radio frequency (RF) signal, transmitting the first RF signal on the first pathway, the first RF signal being reflected back on a second pathway, receiving a second RF signal on the second pathway, the second RF signal including interferences from the reflections, generating an RF reference signal based on signals on the first pathway, providing the RF reference signal to the signal processor, providing the second RF signal to the signal processor, and reducing, by the signal processor, interferences in the second RF signal from reflections of the first RF signal based on the BB reference signal and the RF reference signal.

Abstract: An example method for scheduling in full duplex cable network environments is provided and includes categorizing a plurality of cable modems in a cable network into interference groups, scheduling upstream transmissions and downstream receptions for cable modems in each interference group, such that no cable modem of any one interference group transmits upstream in a frequency range simultaneously as another cable modem in the same interference group receives downstream in the frequency range, generating scheduling information of the scheduling, and transmitting the scheduling information to the cable modems.

Abstract: An example communication system comprises a media access control (MAC) scheduler in a cable network, and a full band transceiver. The MAC scheduler implements a two-dimensional transmission-reception (T-R) coordination scheme among a plurality of cable modems in the cable network. According to the T-R coordination scheme, the cable modems are categorized into interference groups, such that no cable modem of any one interference group transmits upstream in a frequency range simultaneously as another cable modem in the same interference group receives downstream in the frequency range, facilitating full duplex communication in the cable network across the frequency range. The full band transceiver implements an adaptive interference cancellation scheme, which suppresses at a receiver of the respective component, a signal transmitted by a transmitter of the respective component.

Abstract: An example method for characterizing interference relationships in full duplex cable network environments is provided and includes generating a global interfered list for a plurality of cable modems in the cable network and for a plurality of frequency ranges, generating a global interfering list for the plurality of cable modems and for the plurality of frequency ranges, assigning respective downstream reception frequency ranges and upstream transmission frequency ranges for the plurality of cable modems based on the global interfered list and the global interfering list, and transmitting to the cable modems corresponding assignment information comprising the respective assigned downstream reception frequency ranges and upstream transmission frequency ranges.

Abstract: Presented herein are techniques for detection and avoidance of interference in a telecommunications network. In one example, a cable modem termination system (CMTS) is configured to receive upstream traffic from a plurality of cable modems. The CMTS detects collision characteristics resulting from substantially simultaneous transmissions from different combinations of the cable modems. Based on the detected collision characteristics, the CMTS designates/identifies collision groups for each of a plurality of the cable modems. After designation of the collision groups, the CMTS schedules upstream transmissions by the plurality of cable modems such that cable modems within the same collision group do not transmit within a same time frame and such that two or more cable modems that are not within the same collision group may transmit within a same time frame.

Abstract: Techniques are presented for a first device configured to be in communication with a second device in a digital communication system to receive an orthogonal frequency division multiplexed (OFDM) ranging signal from the second device. The OFDM ranging signal comprises a plurality OFDM symbols that encode a known bit sequence within a subset of available OFDM communication subcarriers and a subset of available time slots. The OFDM ranging signal is analyzed to determine a timing offset for the second device due to a time for signals to travel between the first device and second device over a communication channel. A message is transmitted from the first device to the second device, the message including information configured to indicate the timing offset.

Abstract: Techniques are presented herein for detecting burst noise in a received orthogonal frequency division multiplex (OFDM) transmission. An OFDM transmission is received that includes pilots transmitted at different instances of time but on the same subcarrier during a predetermined time interval such that there are a plurality of different pairs of pilots that are on the same subcarriers during the predetermined time interval. For each possible pair of pilots, an equalized pilot is generated using received values for first and second pilots of the pair. A signal-to-noise ratio is computed for each equalized pilot. A determination is made as to which pilots, if any, are affected by burst noise by comparing the signal-to-noise ratio among the plurality of equalized pilots. Pilots determined to be affected by burst noise are removed from a channel response computation.

Abstract: Presented herein are techniques for detection and avoidance of interference in a telecommunications network. In one example, a cable modem termination system (CMTS) is configured to receive upstream traffic from a plurality of cable modems. The CMTS detects collision characteristics resulting from substantially simultaneous transmissions from different combinations of the cable modems. Based on the detected collision characteristics, the CMTS designates/identifies collision groups for each of a plurality of the cable modems. After designation of the collision groups, the CMTS schedules upstream transmissions by the plurality of cable modems such that cable modems within the same collision group do not transmit within a same time frame and such that two or more cable modems that are not within the same collision group may transmit within a same time frame.

Abstract: Presented herein are techniques for enhancing pre-equalization operations in a telecommunications network. In one example, a cable modem termination system (CMTS) determines the coherent bandwidth for pre-equalization coefficients associated with upstream transmissions received from a cable modem. The CMTS uses the coherent bandwidth of the pre-equalization coefficients to calculate a time constant for a time domain filter that may be applied to the pre-equalization coefficients. The CMTS also calculates, based on the time constant, filter coefficients for the time domain filter and applies the time domain filter to the pre-equalization coefficients to generate signal-to-noise ratio (SNR)-enhanced pre-equalization coefficients. The CMTS then sends the SNR-enhanced pre-equalization coefficients to the cable modem.

Abstract: Presented herein are non-disruptive noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate estimated noise values for symbols of the signal. More specifically, a digital signal comprising symbols transmitted over a telecommunications network is received. For each of a plurality of the symbols, an estimated noise value associated with the respective symbol is generated through a correlation of a log-likelihood ratio (LLR) value to predetermined noise values. The estimated noise values for the plurality of symbols are used to generate noise information representing time and frequency characteristics of noise in the telecommunications network.

Abstract: Techniques are presented herein to encode information bits. The information bits are partitioned into at least two groups based on inherent reliability and immunity to channel impairments of the respective bits. Each of the groups of information bits is encoded with a different coding strength. The resulting code word may be stored in a storage media or transmitted in a communication channel.

Abstract: An example method for determining and managing upstream profiles in Data Over Cable Service Interface Specification (DOCSIS) 3.1 network environments is provided and includes determining, at a Converged Cable Access Platform (CCAP) core, channel conditions independent of any channel effect over a hybrid fiber coaxial (HFC) network between a remote physical layer (R-PHY) entity coupled to the CCAP core and a cable modem (CM) in the DOCSIS 3.1 network environment, and assigning an upstream profile to the CM based on the channel conditions. In specific embodiments, the channel conditions include signal to noise ratio (SNR), modulation error ratio (MER) or group delay. In some embodiments, assigning the upstream profile includes determining a quadrature amplitude modulation (QAM) order based on the SNR or MER, and determining a pilot pattern based on the group delay, the combination of the QAM order and the pilot pattern identifying the upstream profile.

Abstract: An example method for managing time offset and frequency drift in asynchronous Data Over Cable Service Interface Specification (DOCSIS) Remote Physical layer (R-PHY) network environments is provided and includes receiving, at a first hardware device, time synchronization message from a remote second hardware device in the DOCSIS R-PHY network, determining a time difference between a first clock at the first hardware device and a second clock at the second hardware device from the time synchronization message; and re-stamping an event message based on the time difference.

Abstract: An example method for upstream contention measurement and reporting in Data Over Cable Service Interface Specification (DOCSIS) remote physical layer (R-PHY) network environments is provided and includes receiving, at a Converged Cable Access Platform (CCAP) core from a R-PHY node over a converged interconnect network (CIN) in the DOCSIS R-PHY network environment, an indication of a collision level in an upstream network between the R-PHY node and a plurality of cable modems (CMs), calculating a congestion level in the upstream network based on the collision level indicated by the R-PHY node, adjusting back-off window parameters for cable modem retransmissions based on the calculated congestion level, and adjusting a contention transmission opportunity density in a downstream Media Access Protocol (MAP) message based on the adjusted back-off window parameters.

Abstract: Techniques are presented herein for detecting burst noise in a received orthogonal frequency division multiplex (OFDM) transmission. An OFDM transmission is received that includes pilots transmitted at different instances of time but on the same subcarrier during a predetermined time interval such that there are a plurality of different pairs of pilots that are on the same subcarriers during the predetermined time interval. For each possible pair of pilots, an equalized pilot is generated using received values for first and second pilots of the pair. A signal-to-noise ratio is computed for each equalized pilot. A determination is made as to which pilots, if any, are affected by burst noise by comparing the signal-to-noise ratio among the plurality of equalized pilots. Pilots determined to be affected by burst noise are removed from a channel response computation.

Abstract: Presented herein are pilot-less noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate signal-to-noise ratio (SNR) estimate for the signal. More specifically, an interval of a digital signal is received a log-likelihood ratio (LLR) value is calculated for a plurality of bits in the interval of the signal. A scalar value that relates to a distribution of the calculated LLR values is computed. The SNR for the interval of the signal is determined based on a predetermined correlation between the scalar value and noise within the received interval of the signal.

Abstract: Techniques are presented for a first device configured to be in communication with a second device in a digital communication system to receive an orthogonal frequency division multiplexed (OFDM) ranging signal from the second device. The OFDM ranging signal comprises a plurality OFDM symbols that encode a known bit sequence within a subset of available OFDM communication subcarriers and a subset of available time slots. The OFDM ranging signal is analyzed to determine a timing offset for the second device due to a time for signals to travel between the first device and second device over a communication channel. A message is transmitted from the first device to the second device, the message including information configured to indicate the timing offset.

Abstract: Presented herein are pilot-less noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate signal-to-noise ratio (SNR) estimate for the signal. More specifically, an interval of a digital signal is received a log-likelihood ratio (LLR) value is calculated for a plurality of bits in the interval of the signal. A scalar value that relates to a distribution of the calculated LLR values is computed. The SNR for the interval of the signal is determined based on a predetermined correlation between the scalar value and noise within the received interval of the signal.

Abstract: Presented herein are non-disruptive noise estimation techniques that utilize a correlation between attributes of a received signal and the noise to generate estimated noise values for symbols of the signal. More specifically, a digital signal comprising symbols transmitted over a telecommunications network is received. For each of a plurality of the symbols, an estimated noise value associated with the respective symbol is generated through a correlation of a log-likelihood ratio (LLR) value to predetermined noise values. The estimated noise values for the plurality of symbols are used to generate noise information representing time and frequency characteristics of noise in the telecommunications network.