Let’s Get Real! Non-Line-of-Sight Wireless Backhaul for LTE Picocell Deployments
Self-Management in Chaotic Wireless Deployments
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Self-Management in Chaotic Wireless Deployments
A. Akella, G. Judd, S. Seshan, P. Steenkiste
Carnegie Mellon University
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Outline
• INTRODUCTION• IMPACT ON END-USER PERFORMANCE• TRANSMISSION POWER AND RATE
SELECTION• PERFORMANCE EVALUATION• CONCLUSION
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INTRODUCTION• Chaotic Wireless Networks
– Unolanned– Unmanaged
• Suffer from– serious contention– poor performance– security problems
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INTRODUCTION
• To improve end-user performance– Automatically manage the transmission power l
evels– Transmissions rates of APs and clients.
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INTRODUCTION
• Power control algorithm called– Power-controlled Estimated Rate Fallback (PE
RF)
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IMPACT ON END-USER PERFORMANCE
• Simulation GloMoSim Topology
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IMPACT ON END-USER PERFORMANCE
• Simulation assumptions :– Each node on the map is an AP
– Each AP has D clients with 1 ≤ D ≤3
– Clients are within 1 meter from their AP and they don’t move
– All APs transmit on channel 6
– All APs use fixed power level of 15dBm
– All APs transmit at fixed rate 2Mbps
– RTC/CTS is turned off (default settings)
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IMPACT ON END-USER PERFORMANCE
• http with thinking time by Poisson distribution with mean equal to 5s or 20s
• Comb-ftpi, i clients run FTP transmission
• Results:– HTTP : 83.3 Kbps for 5s 24.5 Kbps for 20s– FTP : 0.89 Mbps for 300s
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IMPACT ON END-USER PERFORMANCE
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IMPACT ON END-USER PERFORMANCE
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IMPACT ON END-USER PERFORMANCE
• Two simple mechanisms on mitigating interference– Use an optimal static allocation of non-
overlapping channels– Reduce the transmit power levels
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IMPACT ON END-USER PERFORMANCE
• Non-overlapping channel assignment
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IMPACT ON END-USER PERFORMANCE
Three non-overlapping channels 1 6 11 Only channel 6
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IMPACT ON END-USER PERFORMANCE
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IMPACT ON END-USER PERFORMANCE
• Transmit power control
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IMPACT ON END-USER PERFORMANCE
• Managing power control and using static allocation of non-overlapping channels can reduce the impact of interference on performance
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TRANSMISSION POWER AND RATE SELECTION
• PARF: Power-controlled Auto Rate Fallback– Based on ARF
• It Attempts to elect the best transmission rate
– adding low power states above the highest rate state.
– Power is repeatedly reduced until • the lowest level is • the transmission failed threshold is reached
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TRANSMISSION POWER AND RATE SELECTION
• PERF: Power-controlled Estimated Rate Fallback– Based on ERF(SNR+ERF):
• It uses path loss information to estimate the SNR with which each transmission will be received
– The transmission power is reduced to estimatedSNR = decisionThreshold + powerMargin
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PERFORMANCE EVALUATION
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PERFORMANCE EVALUATION
=>
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CONCLUSION
• Power control and rate adaptation can reduce interference
• Reduce power as long as transmission rate was unaffected.