Abstract: An electronic device that dynamically adapts RTS-CTS protection is described. During operation, this electronic device may obtain communication parameters associated with communication in a WLAN, which includes the electronic device and a second electronic device. For example, the communication parameters may include a collision probability, a PPDU airtime, an RTS airtime, a SIFS airtime and/or a CTS airtime. Then, the electronic device may determine an RTS-CTS performance metric based at least in part on the communication parameters. For example, the RTS-CTS performance metric may be based at least in part on the collision probability, the RTS airtime, the SIFS airtime, and/or the CTS airtime. Next, the electronic device may compare the RTS-CTS performance metric and the PPDU airtime. Moreover, based at least in part on the comparison, the electronic device may selectively use RTS-CTS protection during communication of a PPDU with the second electronic device.

Abstract: An electronic device that dynamically adapts RTS-CTS protection is described. During operation, this electronic device may obtain communication parameters associated with communication in a WLAN, which includes the electronic device and a second electronic device. For example, the communication parameters may include a collision probability, a PPDU airtime, an RTS airtime, a SIFS airtime and/or a CTS airtime. Then, the electronic device may determine an RTS-CTS performance metric based at least in part on the communication parameters. For example, the RTS-CTS performance metric may be based at least in part on the collision probability, the RTS airtime, the SIFS airtime, and/or the CTS airtime. Next, the electronic device may compare the RTS-CTS performance metric and the PPDU airtime. Moreover, based at least in part on the comparison, the electronic device may selectively use RTS-CTS protection during communication of a PPDU with the second electronic device.

Abstract: An electronic device that dynamically adapts RTS-CTS protection is described. During operation, this electronic device may obtain communication parameters associated with communication in a WLAN, which includes the electronic device and a second electronic device. For example, the communication parameters may include a collision probability, a PPDU airtime, an RTS airtime, a SIFS airtime and/or a CTS airtime. Then, the electronic device may determine an RTS-CTS performance metric based at least in part on the communication parameters. For example, the RTS-CTS performance metric may be based at least in part on the collision probability, the RTS airtime, the SIFS airtime, and/or the CTS airtime. Next, the electronic device may compare the RTS-CTS performance metric and the PPDU airtime. Moreover, based at least in part on the comparison, the electronic device may selectively use RTS-CTS protection during communication of a PPDU with the second electronic device.

Abstract: An electronic device that dynamically adapts RTS-CTS protection is described. During operation, this electronic device may obtain communication parameters associated with communication in a WLAN, which includes the electronic device and a second electronic device. For example, the communication parameters may include a collision probability, a PPDU airtime, an RTS airtime, a SIFS airtime and/or a CTS airtime. Then, the electronic device may determine an RTS-CTS performance metric based at least in part on the communication parameters. For example, the RTS-CTS performance metric may be based at least in part on the collision probability, the RTS airtime, the SIFS airtime, and/or the CTS airtime. Next, the electronic device may compare the RTS-CTS performance metric and the PPDU airtime. Moreover, based at least in part on the comparison, the electronic device may selectively use RTS-CTS protection during communication of a PPDU with the second electronic device.

Abstract: A method of identifying radar in a wireless device includes detecting an event corresponding to receipt of a signal by the wireless device. The event can include an analog to digital converter (ADC) saturation, a radio frequency (RF) saturation, and/or an ADC power high condition. Notably, the gain change in the wireless device is delayed for a first predetermined time period. Data preceding the event for the first predetermined time period can be buffered. A first low-resolution fast Fourier transform (FFT), wherein low-resolution FFTs are referred to as short FFTs, can be performed with the buffered data. The first short FFT can be processed. When results of the processing indicate the signal is radar, the radar can then be identified.

Abstract: A method of identifying radar in a wireless device includes detecting an event corresponding to receipt of a signal by the wireless device. The event can include an analog to digital converter (ADC) saturation, a radio frequency (RF) saturation, and/or an ADC power high condition. Notably, the gain change in the wireless device is delayed for a first predetermined time period. Data preceding the event for the first predetermined time period can be buffered. A first low-resolution fast Fourier transform (FFT), wherein low-resolution FFTs are referred to as short FFTs, can be performed with the buffered data. The first short FFT can be processed. When results of the processing indicate the signal is radar, the radar can then be identified.

Abstract: In a training cycle, a source node transmits at least one pilot symbol to relay nodes in a training cycle. The relay nodes each amplifies and forwards the pilot symbol to a destination node in an assigned time slot in the training cycle. The destination node sequentially receives multiple versions of the pilot symbol from the relay nodes and estimates channel information based on the multiple versions of the pilot symbol. In data transmission cycles that follow the training cycle, the nodes apply coherent distributed space-time block code (DSTBC) with the estimated channel information to communicate data symbols. The power allocation between training and data cycles may be adjusted to improve the error performance. The nodes may also apply orthogonal frequency division multiplexing (OFDM) based DSTBC when timing errors are not known.

Abstract: In a training cycle, a source node transmits at least one pilot symbol to relay nodes in a training cycle. The relay nodes each amplifies and forwards the pilot symbol to a destination node in an assigned time slot in the training cycle. The destination node sequentially receives multiple versions of the pilot symbol from the relay nodes and estimates channel information based on the multiple versions of the pilot symbol. In data transmission cycles that follow the training cycle, the nodes apply coherent distributed space-time block code (DSTBC) with the estimated channel information to communicate data symbols. The power allocation between training and data cycles may be adjusted to improve the error performance. The nodes may also apply orthogonal frequency division multiplexing (OFDM) based DSTBC when timing errors are not known.