Abstract:
Aspects of the present disclosure provide adaptive radio link monitoring for machine type communication(s) (MTC), enhanced MTC (eMTC), and/or narrowband Internet-of-Things (NB-IoT). In one aspect, a method is provided which may be performed by a user equipment (UE). The method generally includes receiving a first configuration of parameters for receiving downlink control channel signaling, the first configuration of parameters associated with a first coverage level; measuring at least one parameter related to channel conditions; determining one or more dynamic radio link monitoring (RLM) threshold values for the at least one parameter based, at least in part, on the first configuration of parameters; and performing RLM functions based on the one or more dynamic RLM threshold values. The threshold may comprise early out thresholds that occur before out-of-sync (OOS) or in-sync thresholds. The thresholds may be determined using lookup tables.
Abstract:
Methods, systems, and devices for wireless communication are described. A user equipment (UE) utilizing enhanced carrier aggregation (eCA) may identify a limit to the number of channel state feedback (CSF) processes it is capable of supporting. The UE may transmit an indication of this limit to a base station, which may configure the UE for channel state reporting, and send channel state reporting triggers according to the indicated limit. The UE's determination of the limit to the number of CSF processes may be based on various transmit or receive antenna configurations. A single trigger may correspond to reports covering multiple subframes and/or component carriers. The base station may also arrange the channel state reporting configuration to reduce the peak number of channel state reports that the UE processes during each subframe. The UE may also determine that a number of channel state processes needed to support channel state reporting in a subframe exceeds its capacity. The UE may then prioritize the channel state processes and/or may transmit one or more non-current reports.
Abstract:
Devices and methods are provided for deploying and/or implementing a low power mode in an access point (AP) base station. The low power mode may be implemented based on the presence and/or status of access terminals (ATs). In one embodiment, the method may involve determining whether any ATs are present within at least one defined coverage area. In another embodiment, the method may involve determining whether the ATs are in an idle or active state.
Abstract:
Techniques for filtering noisy estimates to reduce estimation errors are described. A sequence of input values (e.g., for an initial channel impulse response estimate (CIRE)) is filtered with an infinite impulse response (IIR) filter having at least one coefficient to obtain a sequence of output values (e.g., for a filtered CIRE). The coefficient(s) are updated based on the sequence of input values with an adaptive filter, a bank of prediction filters, or a normalized variation technique. To update the coefficient(s) with the adaptive filter, a sequence of predicted values is derived based on the sequence of input values. Prediction errors between the sequence of predicted values and the sequence of input values are determined and filtered to obtain filtered prediction errors. The coefficient(s) of the IIR filter are then updated based on the prediction errors and the filtered prediction errors.
Abstract:
Techniques for predicting weights used for closed-loop transmit diversity. In a channel prediction scheme, channel gains for multiple transmit antennas are initially estimated (e.g., based on pilots received from these antennas) and used to derive predicted channel gains for a future time instant. The predicted channel gains are then used to derive predicted weights that are deemed to be "optimal" at the future time instant. Optimality may be determined based on one or more criteria, such as maximizing a received SNR for the received signals. In a weight prediction scheme, the channel gains for the multiple antennas are estimated and used to compute optimal weights for the current time instant. The current optimal weights are then used to predict the optimal weights at the future time instant. For both schemes, the prediction may be performed based on an adaptive filter (e.g., LMS or RLS filter) or a non-adaptive filter.
Abstract:
Techniques to combine soft-decision power control symbols received for multiple active base stations. In one method, a received signal is initially processed to derive soft-decision (multi-bit valued) symbols for power control commands transmitted from a number of base stations. Each soft-decision symbol for each base station is then scaled based on a scaling factor associated with the base station and which is related to the received signal quality for the power control symbols for the base station. The scaling allows power control symbols for more reliably received base stations to be given greater weights. The scaled soft-decision symbols for each power control period are then combined to provide a decision metric for the period. Each decision metric is then compared against a particular threshold, and a power control decision is derived for each decision metric based on the result of the comparison.
Abstract:
Techniques to more efficiently control the transmit power for a data transmission that uses a number of formats (e.g., rates, transport formats). Different formats for a given data channel (e.g., transport channel) may require different target SNIRs to achieved a particular BLER. In one aspect, individual target BLER may be specified for each format of each data channel. In another aspect, various power control schemes are provided to achieve different target SNIRs for different formats. In a first power control scheme, multiple individual outer loops are maintained for multiple formats. For each format, its associated outer loop attempts to set the target SNIR such that the target BLER specified for that format is achieved. In a second power control scheme, multiple individual outer loops are maintained and the base station further applies different adjustments to the transmit power levels for different formats.
Abstract:
Aspects of the present disclosure relate to methods and apparatus for optimizing real time services (e.g., such as a voice over Long Term Evolution (LTE) (VoLTE)) for devices with limited communications resources, such as machine type communication (MTC) devices and enhanced MTC (eMTC) devices. In one aspect, a UE determines a first configuration of subframes within at least one radio frame available for the UE and other UEs to use for bundled communications with a BS. The UE receives an indication of one or more subframes within the at least one radio frame that are unavailable for bundled uplink transmissions, and determines a second configuration of subframes to use for bundled communications based on the indication. The UE overrides the first configuration of subframes with the second configuration of subframes, and communicates with the BS using the second configuration of subframes. Numerous other aspects are provided.
Abstract:
Methods, systems, computer-readable media, and apparatuses for to managing use of a satellite positions system (SPS) receiver in conjunction with one or more radio access technology (RAT) transmitters. In certain embodiments, a controller can be used to prioritize reception by the SPS receiver over transmission by the one or more RAT transmitters.
Abstract:
Apparatus and methods for low power sensing of wireless access technologies are disclosed. In particular, a mobile wireless device, such as an access terminal, may utilize a lower power circuitry portion that operates at a lower power than active circuitry, such as a primary transceiver. The lower power circuitry portion includes a configurable searcher that is capable of sensing if signals of one or more various wireless access technologies are present. When the wireless device utilizes sleep or idle modes for power savings, use of the lower power sensing circuitry to sense the presence of wireless access technologies, rather than using an awoken higher power primary transceiver for sensing, affords increased power savings. An added ability of the lower power circuitry to be put into sleep or idles modes achieves even greater power savings.