granularity of 0.02dB (note that high granularity is needed to accurately capture the steepness of the curve). A lookup table of AWGN PER vs. SNR for each MCS and each coding scheme (BCC, LDPC) is collected with the SNR granularity of 0.1dB for 2 reference packet lengths for BCC and 1 reference packet length for LDPC. The AWGN PER lookup tables are attached in Appendix 3. To determine if a PPDU of spatial streams over tones has been successfully received, a Nss N PHY abstraction is illustrated in the following diagram. Figure 5. RBIR PHY Abstraction Procedure The detailed procedure of RBIR based PHY abstraction as shown in is: Figure 5 Assume interference events happen during a subframe of OFDM symbols corresponding to a K L MPDU of bytes, each starts from and lasts OFDM symbols, for PL Tk Lk k=1…K. For each interference event over [Tk , Tk+1), k=1…K: Generate (both desired and interfering) channels. Calculate the equalizer-output SINR per spatial stream for the tone/t-th OFDM symbol, n-th SINR(iss,n,t), iss=1…Nss, n=1…N, t=Tk*. Equalizer is MRC if or MMSE if Nss=1, Nss>1. SINR is only calculated over 1 OFDM symbol for each interference event. In the case that is not aligned with the OFDM symbols boundary of the signal to be decoded, use Tk the first OFDM symbol after for SINR calculation. That is, Tk Map SINRs to RBIR. N×Nss 1 Reverse map RBIR to effective SNR. 1 1 Estimate PER for based on AWGN PER lookup table. In case of BCC, = 32bytes if 400bytes; or 1458bytes otherwise. PL0 PL< In case of LDPC, = 1458bytes. PL0 iterated over all events, Calculate the PER Determine if this subframe is successfully received. Appendix 2 Traffic model descriptions – Wireless Display (lightly compressed video) Traffic Model
granularity of 0.02dB (note that high granularity is needed to accurately capture the steepness of the curve). A lookup table of AWGN PER vs. SNR for each MCS and each coding scheme (BCC, LDPC) is collected with the SNR granularity of 0.1dB for 2 reference packet lengths for BCC and 1 reference packet length for LDPC. The AWGN PER lookup tables are attached in Appendix 3. To determine if a PPDU of Nss spatial streams over N tones has been successfully received, a PHY abstraction is illustrated in the following diagram. Figure 5. RBIR PHY Abstraction Procedure The detailed procedure of RBIR based PHY abstraction as shown in Figure 5 is: Assume K interference events happen during a subframe of L OFDM symbols corresponding to a MPDU of PL bytes, each starts from Tk and lasts Lk OFDM symbols, for k=1…K. For each interference event over [Tk , Tk+1), k=1…K: Generate (both desired and interfering) channels. Calculate the equalizer-output SINR per spatial stream for the n-th tone/t-th OFDM symbol, SINR(iss,n,t), iss=1…Nss, n=1…N, t=Tk*. Equalizer is MRC if Nss=1, or MMSE if Nss>1. SINR is only calculated over 1 OFDM symbol for each interference event. In the case that Tk is not aligned with the OFDM symbols boundary of the signal to be decoded, use the first OFDM symbol after Tk for SINR calculation. That is, Map N×Nss SINRs to 1 RBIR. Reverse map 1 RBIR to 1 effective SNR. Estimate PER for based on AWGN PER lookup table. In case of BCC, PL0 = 32bytes if PL< 400bytes; or 1458bytes otherwise. In case of LDPC, PL0 = 1458bytes. iterated over all events, Calculate the PER Determine if this subframe is successfully received. Appendix 2 – Traffic model descriptions Wireless Display (lightly compressed video) Traffic Model