Mixing coefficient data specific to a processing mode selection using layers of multiplication/accumulation units for wireless communication
Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a specific processing mode selection. The input data is mixed with coefficient data at layers of multiplication/accumulation processing units (MAC units). The processing mode selection may be associated with an aspect of a wireless protocol. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.
1 . An apparatus comprising:
a plurality of transmission devices coupled to sensors, the plurality of transmission devices configured to transmit sensor data in accordance with a wireless communication protocol; and
a receiver configured to receive narrowband Internet of Things (IoT) transmissions from the plurality of transmission devices and configured to process the narrowband IoT transmissions using a plurality of multiplication and accumulation processing (MAC) units configured to generate output data in accordance with the narrowband IoT transmissions being processed in accordance with an aspect of a wireless communications protocol.
2 . The apparatus of claim 1 , wherein the receiver is configured to receive the narrowband IoT transmissions on a narrowband IoT band at one or more antennas coupled to the receiver.
3 . The apparatus of claim 2 , wherein the plurality of MAC units are selected based on a quantity of the plurality of antennas.
4 . The apparatus of claim 3 , wherein a number of layers of MAC units selected corresponds to the quantity of the plurality of antennas.
5 . The apparatus of claim 2 , wherein the narrowband IoT band corresponds to a sub-6 GHz band.
6 . The apparatus of claim 1 , wherein the transmission devices are configured to operate on a sub-6 GHz band or on a shared spectrum for unlicensed wireless spectrum uses.
7 . The apparatus of claim 1 , wherein processing the narrowband IoT transmissions using a plurality of MAC units comprises:
multiplying a portion of the input data with at least one of the plurality of coefficients to generate a respective coefficient multiplication result, wherein the plurality of coefficients are specific to the aspect of the wireless communications protocol; and
accumulating the respective coefficient multiplication result with the other respective coefficient multiplication results to provide the output data.
8 . The apparatus of claim 1 , wherein the transmission devices comprises one or more of an IoT device, a virtual reality device, a mobile device, a drone, a communication device, or a vehicle device.
9 . The apparatus of claim 1 , wherein the aspect of the wireless communication protocol comprises digital down conversion (DDC) for the narrowband IoT transmissions.
10 . An apparatus for processing 5G wireless communications, comprising:
a plurality of transmission devices configured to transmit data in accordance with a 5G wireless communication protocol;
a receiver configured to receive the 5G transmissions from the plurality of transmission devices;
a configurable algorithm implemented in a hardware platform, configured to mix input data with coefficient data specific to a wireless protocol to generate output data; and
a plurality of multiplication and accumulation processing (MAC) units and memory lookup units (MLUs) organized in multiple layers for processing the input data and coefficient data, generating output data representative of a transmission processed according to the 5G wireless protocol.
11 . The apparatus of claim 10 , wherein the wireless protocol comprises filter bank multi-carrier (FBMC), generalized frequency division multiplexing (GFDM), universal filtered multi-carrier (UFMC) transmission, bi-orthogonal frequency division multiplexing (BFDM), sparse code multiple access (SCMA), non-orthogonal multiple access (NOMA), multi-user shared access (MUSA), and faster-than-Nyquist (FTN) signaling with time-frequency packing.
12 . The apparatus of claim 10 , wherein the hardware platform is configured to be configurable for various wireless communication protocol aspects, including baseband processing, digital front-end transmitter processing, and analog-to-digital conversion (ADC) processing.
13 . The apparatus of claim 10 , wherein the configurable algorithm implemented in the hardware platform is configured to allow for adaptation to changes or upgrades in 5G wireless communication protocols.
14 . The apparatus of claim 10 , further comprising a unified programming language framework configured to enable integration of control units, computational units, data units, and accelerator units.
15 . The apparatus of claim 10 , wherein the apparatus is integrated into a wireless communications network comprising a mobile device, a drone, a communication device, a small cell, networked workstations, a virtual reality device, Internet of Things (IOT) devices, a networked entertainment device, or a combination thereof, each configured to communicate with each other and form one or more hierarchical or ad hoc networks while supporting a range of wireless communication connections, including sub-6 GHz bands, mid-range communication bands, and mmWave bands, and one or more modulation schemes, wherein the apparatus facilitates the processing of wireless communication protocols among the components of the wireless communications network.
16 . A method for processing 5G wireless communications, comprising:
receiving 5G transmissions from a plurality of transmission devices;
processing the 5G transmissions using a configurable algorithm implemented in a hardware platform, configured to mix input data with coefficient data specific to a wireless protocol; and
generating output data using a plurality of multiplication and accumulation processing (MAC) units and memory lookup units (MLUs) organized in multiple layers, with the output data being representative of a transmission processed according to the 5G wireless protocol.
17 . The method of claim 14 , wherein the wireless protocol includes, but is not limited to, filter bank multi-carrier (FBMC), generalized frequency division multiplexing (GFDM), universal filtered multi-carrier (UFMC) transmission, bi-orthogonal frequency division multiplexing (BFDM), sparse code multiple access (SCMA), non-orthogonal multiple access (NOMA), multi-user shared access (MUSA), and faster-than-Nyquist (FTN) signaling with time-frequency packing.
18 . The method of claim 14 , wherein the configurable algorithm implemented in the hardware platform is configured to adapt to various wireless communication protocol aspects, including baseband processing, digital front-end transmitter processing, and analog-to-digital conversion (ADC) processing.
19 . The method of claim 14 , further comprising:
training a computing device with coefficient data based on the operations of a wireless transmitter, wherein the coefficient data is stored in a coefficient database.
20 . The method of claim 16 , wherein the method enables changes or upgrades in 5G wireless communication protocols.
21 . The method of claim 14 , further comprising:
synchronizing one or more devices in a network for efficient communication and data sharing.