Abstract: A user equipment (UE) monitors a Physical Downlink Control Channel (PDCCH) in multiple component carriers (CC). The UE determines if the UE is operating in carrier aggregation (CA) mode having a first CC in a first frequency band and a second CC in a second frequency band. When the UE is operating in CA with a first CC in the first frequency band and the second CC in the second frequency band, the UE determines a span pattern for PDCCH symbols being received on the first and second CC and selects a PDCCH monitoring type based on, at least, the span pattern. A UE also determines if a first CC and a second CC of a CA combination are collocated and selects a PDCCH monitoring type based on, at least, the determination of whether the first and second CC are collocated.

Abstract: A base station of a network provides a user equipment (UE) with information relating to monitoring a Physical Downlink Control Channel (PDCCH) of multiple component carrier (CCs) in a carrier aggregation (CA) scheme. The base station configures a first CC and a second CC of a CA combination for a user equipment (UE) and provides the UE with information for the CA combination, wherein the information comprises an indication whether the first CC and the second CC are collocated.

Abstract: A user equipment (UE) monitors a Physical Downlink Control Channel (PDCCH) in multiple component carriers (CC). The UE determines if the UE is operating in carrier aggregation (CA) mode having a first CC in a first frequency band and a second CC in a second frequency band. When the UE is operating in CA with a first CC in the first frequency band and the second CC in the second frequency band, the UE determines a span pattern for PDCCH symbols being received on the first and second CC and selects a PDCCH monitoring type based on, at least, the span pattern. A UE also determines if a first CC and a second CC of a CA combination are collocated and selects a PDCCH monitoring type based on, at least, the determination of whether the first and second CC are collocated.

Abstract: An apparatus including a plurality of multipliers each configured to multiply correlations by a weight, wherein the correlations include a plurality of subsets of correlations, wherein the weight of each of the plurality of multipliers is uniquely different from the weights of at least two of the plurality of multipliers and the correlations; a summation processor configured to sum the weight multiplied correlations of the plurality of multipliers for time n, where n is an integer; and a coarse timing and coarse frequency processor configured to generate a coarse timing and a coarse frequency based on the sum.

Abstract: Apparatuses, systems, and methods are described concerning a new type of superposition multiplexing transmission constellation (super-constellation): the Gray-mapped Non-uniform-capable Constellation (GNC). Apparatuses, systems, and methods for generating GNC super-constellations are described, as well as apparatuses, systems, and methods for receiving, demapping, and decoding transmissions using GNC super-constellations. Apparatuses, systems, and methods for selecting a type of superposition multiplexing transmission constellation based on various conditions are also described.

Abstract: A method and apparatus are provided. The method includes receiving a reference signal from a transceiver, estimating a time offset (TO) of the reference signal in the frequency domain based on a spectral phase ramp introduced by the TO, compensating the TO of the reference signal based on the estimated TO in the frequency domain by applying the spectral phase ramp to the received reference signal, and providing a TO compensated signal of the reference signal.

Abstract: Apparatuses, systems, and methods are described concerning a new type of superposition multiplexing transmission constellation (super-constellation): the Gray-mapped Non-uniform-capable Constellation (GNC). Apparatuses, systems, and methods for generating GNC super-constellations are described, as well as apparatuses, systems, and methods for receiving, demapping, and decoding transmissions using GNC super-constellations. Apparatuses, systems, and methods for selecting a type of superposition multiplexing transmission constellation based on various conditions are also described.

Abstract: A method and apparatus are provided. The method includes receiving a signal from a transceiver, demapping a bit pattern encoded within the signal, detecting a preamble based on the demapped bit pattern, and synchronizing the transceiver to a receiver using the preamble, wherein demapping the bit pattern is based on weighting coefficients.

Abstract: A system to recognize user activity includes a filter to form a gravity measurement from a three-dimensional (3D) accelerometer measurement of a user activity; a body component extractor to form a body measurement of the user activity by removing the gravity measurement from the 3D accelerometer measurement; a rotation matrix calculator to form a rotation matrix that is used to rotate the extracted gravity to align with a predetermined direction, and to rotate the 3D accelerometer measurements and the body measurement to be the input to features determiner module; and a features determiner to determine values of a predetermined number of features of the user activity based on the rotated 3D accelerometer measurement and the rotated body measurement in which the predetermined number of features are invariant under arbitrary rotation of the accelerometer measurement around the predetermined direction.

Abstract: A method and apparatus are provided. The method includes receiving a reference signal from a transceiver, estimating a time offset (TO) of the reference signal in the frequency domain based on a spectral phase ramp introduced by the TO, compensating the TO of the reference signal based on the estimated TO in the frequency domain by applying the spectral phase ramp to the received reference signal, and providing a TO compensated signal of the reference signal.

Abstract: A receiver of a modulated signal is presented. The receiver includes a synchronization detector configured to receive a signal indicative of the modulated signal that includes a synchronization header and a data payload, and to detect an end of the synchronization header. The synchronization detector is configured to generate a differential signal based on the signal, perform cross-correlation of the differential signal with a reference differential signal to generate a cross-correlation output, compare a first sample of the cross-correlation output at a sample index associated with a hypothesized start frame delimiter (SFD) peak index with a second sample of the cross-correlation output at a sample index associated with a hypothesized preamble peak index, and detect an end of the synchronization header in response to a comparison result in which a magnitude of the first sample is greater than a magnitude of the second sample of the cross-correlation output.

Abstract: Methods and apparatuses are provided in which a signal is received at a receiver. A processor of the receiver computes frequency offset (FO) inter-carrier interference (ICI) compensation, based on a real matrix part of an approximate ICI matrix and an FO estimated from the received signal. The processor applies the FO ICI compensation to the received signal in a frequency domain to produce an ICI compensated output. The processor applies a phase rotation to the ICI compensated output.

Abstract: A method and apparatus are provided. The method includes receiving a reference signal from a transceiver, estimating a time offset (TO) of the reference signal in the frequency domain based on an accumulation of subcarriers before cross-correlation, providing a TO compensated signal of the reference signal based on the estimated TO in the frequency domain, transforming the TO compensated signal into the time domain, and estimating a frequency offset (FO) based on the time domain TO compensated signal.

Abstract: A system and method for removing bias from a frequency estimate. A simulation is used to predict, for various values of the signal to noise ratio, a bias in a raw frequency estimate produced by a frequency estimation algorithm. A straight line is fit to simulated frequency offset estimates as a function of true frequency offset, and the reciprocal of the slope of the line is stored, as a multiplicative bias removal term, in a lookup table, for the simulated signal to noise ratio. In operation, the raw frequency estimate is multiplied by a multiplicative bias removal term, obtained from the lookup table, to form a corrected frequency offset estimate.

Abstract: An apparatus including a plurality of multipliers each configured to multiply correlations by a weight, wherein the correlations include a plurality of subsets of correlations, wherein the weight of each of the plurality of multipliers is uniquely different from the weights of at least two of the plurality of multipliers and the correlations; a summation processor configured to sum the weight multiplied correlations of the plurality of multipliers for time n, where n is an integer; and a coarse timing and coarse frequency processor configured to generate a coarse timing and a coarse frequency based on the sum.

Abstract: Apparatuses, systems, and methods are described concerning a new type of superposition multiplexing transmission constellation (super-constellation): the Gray-mapped Non-uniform-capable Constellation (GNC). Apparatuses, systems, and methods for generating GNC super-constellations are described, as well as apparatuses, systems, and methods for receiving, demapping, and decoding transmissions using GNC super-constellations. Apparatuses, systems, and methods for selecting a type of superposition multiplexing transmission constellation based on various conditions are also described.

Abstract: Apparatuses, systems, and methods are described concerning a new type of superposition multiplexing transmission constellation (super-constellation): the Gray-mapped Non-uniform-capable Constellation (GNC). Apparatuses, systems, and methods for generating GNC super-constellations are described, as well as apparatuses, systems, and methods for receiving, demapping, and decoding transmissions using GNC super-constellations. Apparatuses, systems, and methods for selecting a type of superposition multiplexing transmission constellation based on various conditions are also described.

Abstract: The apparatus includes a plurality of correlation processors configured to each receive a group of samples and generate correlations of each group of samples; a plurality of multipliers each configured to multiply the correlations of one of the plurality of correlation processors by a weight, wherein the weight of at least one of the plurality of multipliers is different from the weight of at least another one of the plurality of multipliers; a summation processor configured to sum the weight multiplied correlations of the plurality of multipliers for time n, where n is an integer; and a coarse timing and coarse frequency processor configured to generate a coarse timing and a coarse frequency based on the sum.

Abstract: Apparatuses, systems, and methods are described concerning a new type of superposition multiplexing transmission constellation (super-constellation): the Gray-mapped Non-uniform-capable Constellation (GNC). Apparatuses, systems, and methods for generating GNC super-constellations are described, as well as apparatuses, systems, and methods for receiving, demapping, and decoding transmissions using GNC super-constellations. Apparatuses, systems, and methods for selecting a type of superposition multiplexing transmission constellation based on various conditions are also described.

Abstract: Apparatuses, systems, and methods are described for power allocation in a superposition multiple access communication system capable of using non-uniform joint constellations or super-constellations. In one method, the conditional probability of a correctly-received symbol and a normalized weighting coefficient is calculated for each receiver and then the sum of weighted efficiencies is calculated. The optimal power allocation is determined for each receiver by maximizing the sum of weighted spectral efficiencies.