Abstract:
For example, an apparatus may include a Body Proximity Sensor (BPS) configured to detect proximity of a wireless communication device to a human body based on wireless communication signals communicated by the wireless communication device. For example, the BPS may include an input to receive loopback information of a Receive (Rx) loopback signal, the Rx loopback signal including a wireless Rx signal received by a receiver of the wireless communication device based on a loopback of a wireless transmit (Tx) signal transmitted by a transmitter of the wireless communication device; and a processor configured to determine a detection result based on the loopback information, the detection result to indicate a detected proximity of the wireless communication device to the human body.
Abstract:
In some embodiments, the invention involves increasing hybrid automatic repeat request (HARQ) throughput. In one embodiment, throughput may be increased by clearing the retransmission buffer at least one frame in advance, based on status received from the downlink device before a full acknowledgement. Another embodiment partitions HARQ bursts into two groups. A first group is for packet data units (PDUs) that are anticipated to be in error and a second group is for PDUs anticipated to be received correctly. Only PDUs that are anticipated to be in error, based on forward error correction (FEC) blocks, are to be saved in the retransmission buffer. Other embodiments are described and claimed.
Abstract:
Apparatus and methods for selective decoding of received code blocks are disclosed. An example method includes receiving a code block, determining a code block quality indicator for the received code block, and attempting to decode the received code block if the code block quality indicator is greater than or equal to a threshold. If the code block quality indicator is less than the threshold, the received code block is discarded without decoding attempts. The threshold may be a static or dynamic threshold.
Abstract:
A method and system to increase the throughput of a HARQ protocol in a wireless network. When a station receives a downlink HARQ sub-burst that has an incorrect cyclic redundancy check, it determines if there is an overflow event of its buffer. If so, the station reduces the size of the HARQ sub-burst to be stored in the buffer and stores the resized HARQ sub-burst in the buffer. When the station transmits an uplink HARQ sub-burst, the station can reduce the size of the transmitted HARQ sub-burst if it exceeds the size of the buffer. The amount of buffer required in the station can also be reduced by representing each log likelihood ratio (LLR) value of each of one or more bits of each symbol of a HARQ burst with a number of quantization bits based on a metric sensitivity to noise of each bit of each symbol.
Abstract:
An apparatus may include a channel estimation component to determine a channel estimation matrix H for a tone of a multiplicity of tones in a multiple input multiple output (MIMO) communications signal. The apparatus may further include a processor circuit coupled to the receiver component, and a flow selection component for execution on the processor circuit to calculate a figure of merit for power loss for the received tone based upon the channel estimation matrix, and based upon the calculated figure of merit, perform either a max-log calculation or a maximum likelihood calculation to determine a received signal metric, but not both calculations. Other embodiments are described and claimed.
Abstract:
A method and apparatus to estimate and mitigate platform noise incurred at a wireless device coupled to the platform. A computing device includes a platform including a first processor, a wireless device coupled to the platform, the wireless device including a second processor, and a plurality of antennas coupled to the wireless device. At least one of the first processor or the second processor is configured to determine characteristics of a platform noise incurred at the wireless device in real-time due to utilization of circuitries and processing components on the platform and implement an adaptive real-time and application/context-aware measure to mitigate the platform noise based on the determined characteristics of the platform noise.