Even though the score is still 3-3 in the fourth quarter, the game is everything but dull. This led to a bench-clearing fight and many ejections. Early in the fourth quarter on Sunday, the Tampa Bay Buccaneers’ little-brother complex erupted against the New Orleans Saints when Buccaneers wide receiver Mike Evans took a cheap shot at Marshon Lattimore. al.Today in New Orleans, the Buccaneers and Saints had a heated exchange of words. Testbed 1 0.8 0.6 Fraction of symbols 0.4 BPSK QPSK 16QAM 64QAM 0.2 Symbol dispersion magnitude McKinley et. Testbed 1 0.8 0.6 Fraction of symbols 0.4 BPSK QPSK 16QAM 64QAM 0.2 Symbol dispersion magnitude Hypothesis: Symbol dispersion is independent of modulationġ1 01 11 01 00 10 00 10 Channel Tx 4QAM Rx QPSK Tx 16QAM Rx16QAM Weak Channel 6 Mbps Moderate Channel 01 24 Mbps 0111 Strong Channel 36 Mbps Smaller dispersion permits higher rate Smaller dispersion permits higher rate 01 0111 01 0111 Weak Channel Moderate Channel Strong ChannelĦ Mbps Moderate Channel 01 24 Mbps 0111 Strong Channel 36 Mbpsģ0 In General. Weak Channel Moderate ChanStrong ChannelĢ9 In General. High Dispersion = Data Weak Channel Tx 16QAM Symbol Wrongly demodulated symbolĢ8 In General. High Dispersion = Data Weak Channel Tx 16QAM Symbol Tx 4QAM Symbol Rx 4QAM Symbolĭisper sion = Data 2 bits together Channel 00 10 00 10 Tx 4QAM Symbol Rx 4QAM SymbolĠ1 11 01 Dispe rsion = Data 2 bits together Channel 00 10 00 10 Tx 4QAM Symbol Rx 4QAM Symbol 011 Dispersion 1 = Data Channel 4 bits together Tx 16QAM Symbol Rx 16QAM SymbolĠ1 11 01 Dispe rsion = Data 2 bits together Channel 00 10 00 10 Tx 4QAM Symbol Rx 4QAM Symbol 01111 Dispersion = Data Channel 6 bits together Tx 64QAM Symbol Rx 64QAM SymbolĢ3 Why not always transmit many bits per symbol? Tx 4QAM Symbol Rx 4QAM Symbolĭata 2 bits together 11 01 11 01 Dispe rsion Channel 00 10 00 10 Tx 4QAM Symbol Rx 4QAM SymbolĢ0 Symbols to Modulation = 01111001. Tx 4QAM Symbol Rx 4QAM Symbolġ9 Symbols to Modulation = 01111001. Tx 4QAM Symbol Rx 4QAM Symbolĭata 2 bits together 11 01 11 01 Dispe rsion 11 11 Channel 01 01 00 10 00 10 Tx 4QAM Symbol Rx 4QAM Symbolġ8 Symbols to Modulation = 01111001. Tx 4QAM Symbol Rx 4QAM Symbolĭata 2 bits together 11 01 11 01 11 11 Channel 01 01 00 10 00 10 Tx 4QAM Symbol Rx 4QAM Symbolġ7 Symbols to Modulation = 01111001. Tx 4QAM Symbol 2 bits togetherĭata 2 bits together 11 01 00 10 Tx 4QAM Symbolġ6 Symbols to Modulation = 01111001. = Data 2 bits together 11 01 00 10 Tx 4QAM Symbolġ4 Symbols to Modulation = Data 11 01 00 10 Tx 4QAM Symbolġ5 Symbols to Modulation = 01111001. Ideally Tx wants optimal rate for next packet Function of optimal rate of the previous packetħ Function of optimal rate of the previous packetĨ Ideally Tx wants optimal rate for next packetįunction of optimal rate of the previous packet In other words, Given a transmission at rate R, what would have been the max rate R*, at which that transmission would have been successfulĩ Ideally Tx wants optimal rate for next packetįunction of optimal rate of the previous packet In other words, Given a transmission at rate R, what would have been the max rate R*, at which that transmission would have been successful We propose AccuRateġ0 Background: Symbols, Modulation, Bit-rate Uses a BER heuristic to estimate bit rate BER accurately identifies when to increase/decrease rate However, may not be able to jump to optimal rateĥ Ideally Tx wants optimal rate for next packetĦ Function of optimal rate of the previous packet.Optimal bit-rate selection is challenging because the wireless channel varies over: Space Time 6 Mbps Channel Time 24 Mbps Channel Timeįrame Based Remember History SampleRate, RRAA SNR Based Data RBAR, CHARM Data SNR ACK ✦ Recently PHY-based: ✦ SoftRate Wireless link throughput depends on transmission bit-rate 6 Mbps 24 Mbps Choosing the optimal bit-rate is an important problem Souvik Sen, Naveen Santhapuri, Romit Roy Choudhury, Srihari Nelakuditi Presentation on theme: "AccuRate: Constellation Aware Rate Estimation in Wireless Networks"- Presentation transcript:ġ AccuRate: Constellation Aware Rate Estimation in Wireless Networks
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