Abstract:
Techniques are described for wireless communication. A first method may include transmitting a reference signal from an access point over a shared spectrum to a user equipment (UE), and receiving a measurement of the reference signal from the UE. A second method may include receiving at a UE over a shared spectrum a reference signal from an access point, and transmitting a measurement of the reference signal to the access point. In each of the first and second methods, the measurement may indicate interference with the shared spectrum from outside of a clear channel assessment (CCA) range of the access point. A third method may include receiving a plurality of reference signal measurements, where each reference signal measurement corresponds to one of a plurality of access points and indicates interference with a shared spectrum from outside of a CCA range of the corresponding access point, and performing channel selection for the plurality of access points based at least in part on the received reference signal measurements.
Abstract:
Computing a non-linear function ƒ(x) in hardware or embedded systems can be complex and resource intensive. In one or more aspects of the disclosure, a method, a computer-readable medium, and an apparatus are provided for computing a non-linear function ƒ(x) accurately and efficiently in hardware using look-up tables (LUTs) and interpolation or extrapolation. The apparatus may be a processor. The processor computes a non-linear function ƒ(x) for an input variable x, where ƒ(x)=g(y(x),z(x)). The processor determines an integer n by determining a position of a most significant bit (MSB) of an input variable x. In addition, the processor determines a value for y(x) based on a first look-up table and the determined integer n. Also, the processor determines a value for z(x) based on n and the input variable x, and based on a second look-up table. Further, the processor computes ƒ(x) based on the determined values for y(x) and z(x).
Abstract:
Techniques are described for wireless communication. One method includes implementing, at a first node, a first access protocol to contend for access to a wireless communication medium shared by a plurality of nodes; determining whether a triggering event has occurred; and implementing, at the first node, a second access protocol to contend for access to the wireless communication medium based at least in part on a determination that the triggering event has occurred.
Abstract:
Techniques are described for wireless communication. A first method may include transmitting a reference signal from an access point over a shared spectrum to a user equipment (UE), and receiving a measurement of the reference signal from the UE. A second method may include receiving at a UE over a shared spectrum a reference signal from an access point, and transmitting a measurement of the reference signal to the access point. In each of the first and second methods, the measurement may indicate interference with the shared spectrum from outside of a clear channel assessment (CCA) range of the access point. A third method may include receiving a plurality of reference signal measurements, where each reference signal measurement corresponds to one of a plurality of access points and indicates interference with a shared spectrum from outside of a CCA range of the corresponding access point, and performing channel selection for the plurality of access points based at least in part on the received reference signal measurements.
Abstract:
Techniques are described for wireless communication. One method includes implementing, at a first node, a first access protocol to contend for access to a wireless communication medium shared by a plurality of nodes; determining whether a triggering event has occurred; and implementing, at the first node, a second access protocol to contend for access to the wireless communication medium based at least in part on a determination that the triggering event has occurred.
Abstract:
A modulation and coding scheme (MCS) is selected for one or more transmissions from a first wireless device to a second wireless device, based at least in part on interference at the second wireless device during a time period. The interference excludes wireless signals present at the second wireless device at first times during the time period when the first wireless device is transmitting and at second times during the time period when the first wireless device detects transmissions.
Abstract:
A method of quantizing a floating point machine learning network to obtain a fixed point machine learning network using a quantizer may include selecting at least one moment of an input distribution of the floating point machine learning network. The method may also include determining quantizer parameters for quantizing values of the floating point machine learning network based at least in part on the at least one selected moment of the input distribution of the floating point machine learning network to obtain corresponding values of the fixed point machine learning network.
Abstract:
A selection process is disclosed for a user equipment (UE) to select between a WAN and a WLAN. Instead of defaulting to select one or the other networks, as long as the connection is available, a better load balancing and maximization of the system capacity may be achieved when the UE selects the network according to a priority order between the WAN/WLAN. The priority order takes into account various network metrics, such as loading, channel conditions, bandwidth, and service requirements.
Abstract:
A method for selecting bit widths for a fixed point machine learning model includes evaluating a sensitivity of model accuracy to bit widths at each computational stage of the model. The method also includes selecting a bit width for parameters, and/or intermediate calculations in the computational stages of the mode. The bit width for the parameters and the bit width for the intermediate calculations may be different. The selected bit width may be determined based on the sensitivity evaluation.
Abstract:
A method, an apparatus, and a computer program product for associating a user equipment (UE) with a relay in a wireless network are provided. The apparatus determines a relay backhaul link quality of a relay; determines a path loss from a UE to the relay; and compares the relay backhaul link quality to a direct link quality between the UE and a base station, and the path loss to a path loss threshold to determine whether to associate the UE with the relay.