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!!!!!Main azari

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Fundamentals tradeoffs in resource provisioning for IoT over cellular networks

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!!!!!Main azari

  1. 1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks Amin Azari, Guowang Miao CoS Department, ICT School KTH Royal Institute of Technology May 23, 2017 Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 1 / 34
  2. 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Outline Battery lifetime and reliability for MTC Energy/cost saving for the access network QoS for human oriented communications Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 2 / 34
  3. 3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 3 / 34
  4. 4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Motivation Focus and High-Level Research Questions Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 4 / 34
  5. 5. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Motivation Focus and High-Level Research Questions IoT over Cellular Networks Regarding unique characteristics of cellular networks like ubiquitous coverage, cellular-based M2M will be a key enabler of IoT. In 1G to 4G: high-capacity high-throughput low-latency infrastructure, forgotten about large-scale small-data communications, forgotten about mission-critical communications. Need for evolutionary and revolutionary changes. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 5 / 34
  6. 6. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Motivation Focus and High-Level Research Questions Massive M2M Communications Main challenges in enabling Massive M2M : Scalability: up to one million simultaneous connections per square kilometera. Energy efficiency: over 10 years battery lifetime 10 times more bit-per-joule energy efficiencyb . Battery lifetime → Maintenance cost a Samsung. 5G vision. Tech. rep. 2015. b Nokia. Looking ahead to 5G. . Tech. rep. 2014. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 6 / 34
  7. 7. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Motivation Focus and High-Level Research Questions Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 7 / 34
  8. 8. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Motivation Focus and High-Level Research Questions Research Focus Research Focus To incorporate battery lifetime-awareness into the design of 5G cellular networks High-Level Research Questions Identify deployment and operational solutions enabling serving a massive number of energy-limited devices: with minimum increase in CAPEX and OPEX, without degrading human-type users perceived QoS. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 8 / 34
  9. 9. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H RQs and Contributions (1/4) Battery lifetime Assessment The initial problem faced in lifetime-aware cellular network design: → lack of a methodology to model the network battery lifetime. RQ1: How to derive a low-complexity model of individual and network battery lifetimes? Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 9 / 34
  10. 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H RQs and Contributions (1/4) Energy consumption → a semi-regenerative process Reg. point → end of each successful data transmission epoch. UE BS Cell Info PRACH: Random Access Request (RN, BSR, Cause, PDCCH CC) PDCCH: Uplink Assignment (RACH reference, PUSCH allocation, BS VR = 0, C- RNTI assignment) PUSCH: Data transfer (TLLI/S-TMSI, MS VS = 0, last = true, data) PDCCH: Uplink Ack (TLLI/S-TMSI, C-RNTI confirmation, BS VR=1) !"# + $!% &',( &',$ )*- (Turn radio on) (Sleep) DutyCycle ReportingPeriod (Wake up) Data gathering (Wake up) )!!. time Power Sleep Data gathering/pr ocessing Listening to eNodeB Scheduled transmission Connection establishme nt Reporting period Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 10 / 34
  11. 11. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H RQs and Contributions (1/4) Battery lifetime Assessment ∗ Expected lifetime of node i = Energy storage at time t Energy consumption per reporting period × Reporting period = Ei (t) Ei perperiod Ti , Eperpacket = Estatic + Edynamic, Edynamic = Di Ri (Pc + αPt), Estatic = K(tDRX PDRX + tsyncPsync + tactPact) + tsyncPsync, K = Number of active intervals per reporting period. * Network lifetime: Average of individual lifetimes. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 11 / 34
  12. 12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H RQs and Contributions (1/4) Experimental results versus analytical results 0 1 3 5 7 9 11 13 15 17 19 21 23 Time (hours) 7500 8000 8500 9000 9500 Remainingbatteryenergy(Joule) Expriment Proposed model Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 12 / 34
  13. 13. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 13 / 34
  14. 14. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings RQs and Contributions (4/4) Performance Tradeoff Analysis RQ2: What are the consequences of allocating radio resources to massive MTC services on energy consumption of the BSs, network spectral efficiency, experienced delay of non-MTC traffic, and battery lifetime of machine-type devices? Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 14 / 34
  15. 15. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Research Questions (2/4) Performance Tradeoff Analysis Split Resource Allocation to MTC and HoC over RACH and PUSCH !"(sec) #M !"# (sec) PUSCH resource (H C) PUSCH resource (MTC) PRACH resource (H C) PRACH resource (MTC) ! time frequency "M (Hz) ! (Hz) "# (sec) Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 15 / 34
  16. 16. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 16 / 34
  17. 17. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Research Questions (2/4) Research Methodology Energy and delay analysis for IoT traffic Need to model energy consumption of machine devices in random access and data transmission. Energy consumption: [reservation over RACH+potential collision(s)]+[data transmissio over PUSCH+potential retranmsnissiopn(s)] Retransmission in RACH is possible due to collision and in PUSCH because of limited transmit power of IoT devices and available resources for IoT. We have developed a Markov chain to investigate the probability of collision over RACH, outage over PUSCH, and average number of present users in RACH and PUSCH stages as a function of traffic load for IoT communications. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 17 / 34
  18. 18. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Research Questions (4/4) Research Methodology Delay analysis for HoC traffic Experienced delay in data transmission: Delay over RACH +Delay over PUSCH. Collision over RACH increases the access delay. Lack of available resources over PUSCH and bounded transmit power increase the delay. We have developed a Markov chain to investigate the probability of collision over RACH, outage over PUSCH, and average number of present users in RACH and PUSCH stages as a function of traffic load for H2H communications. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 18 / 34
  19. 19. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Research Questions (2/4) Research Methodology Using these Markov chains, battery lifetime of IoT devices, energy consumption of BS experienced delay spectral efficiency has been modeled as a function of traffic and resource allocation parameters. Performance tradeoffs have been highlighted. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 19 / 34
  20. 20. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 20 / 34
  21. 21. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Simulation parameters Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 21 / 34
  22. 22. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Optimized operation points w.r.t. EE, Energy Consumption BSs, Delay, SE. EnergyEfficiency(bits/joule) α: RACH alloc. to MTCβ: PUSCH alloc. to MTC 0 100 1 5 ×105 0.8 0.610-2 10 0.4 0.2 0 Max energy efficiency β: PUSCH alloc. to MTCα: RACH alloc. to MTC 110 1 0.5 10-3 10-2 10-1 120 0 100 Avg.cons.energy perunittime(J) 130 X: 0.582 Y: 0.07 Z: 112 Min Energy ExpriencedDelay(sec) β:PUSCHalloc.toMTC 0 100 10-1 10-2 α: RACH alloc. to MTC 10.80.610-3 0.40.20 1 2 Min delay β: PUSCH alloc. to MTC α: RACH alloc. to MTC 0 100 0.5 1 SpectralEfficiency(bits/sec/Hz) 1 0.8 10-2 0.6 1.5 0.4 0.2 10-4 0 Maximum spectral efficiency X: 0.92 Y: 0.004 Z: 1.311 Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 22 / 34
  23. 23. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Optimized Operation Points. 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 x 10 5 0 0.2 0.4 0.6 0.8 1 Time (× reporting period) CDFofindividuallifetimes α=28%, β=0.5% α=28%, β=5% α=37%, β=0.5% α=37%, β=5% α=74%, β=0.5% α=74%, β=5% Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 23 / 34
  24. 24. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Optimized Operation Points. 10-3 10-2 10-1 100 β: PUSCH alloc. to IoT 110 120 130 Ave.cons.energy perunittime(J) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 α: RACH alloc. to IoT 110 120 130 Ave.cons.energy perunittime(J) Min Energy Min Energy β=0.07 α=0.582 Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 24 / 34
  25. 25. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Optimized Operation Points. 0.6 0.8 1 β:PUSCHalloc.toMTC 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 α: RACH alloc. to MTC 10-2 Max energy efficiency for MTC EE, EC, and ED increase; SE decrease EC increases; EE and ED decrease Min BS energy consumption EC and SE increase Min Delay for HoC Max uplink spectral efficiency (HoC+MTC) Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 25 / 34
  26. 26. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Problem Formulation Research Methodology Simulation Results and Findings Simulation Results Performance Tradeoff Analysis Findings Significant impacts of uplink resource provisioning on the battery lifetime of energy-limited devices, energy/spectral efficiency of the network, and experienced delay in uplink communications have been presented. The derived results figure out the ways in which scarce radio and energy resources for the BS and QoS for human-oriented communications could be preserved while coping with the ever increasing number of energy-limited MTC-type devices in cellular networks. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 26 / 34
  27. 27. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 27 / 34
  28. 28. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading RQs and Contributions (3-4/4) Performance Tradeoff Analysis in Single Cell Scenario Consider a massive M2M/H2H deployment in a single-cell scenario. RQ3: What are the tradeoffs between green and lifetime-aware cellular network design in the operation phase? What is the optimal BS sleeping strategy w.r.t. batetry lifetime of devices? RQ4: What are the tradeoffs between green and lifetime-aware cellular network design in the deployment phase? What is the optimal density of BSs w.r.t. batetry lifetime of devices? Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 28 / 34
  29. 29. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 29 / 34
  30. 30. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Simulation Results and Findings Analytical and Simulation Results Enery consumption for BS/EE for MTC 100 101 102 103 Mean listening time (sec) 60 70 80 90 100 110 Energy(Joule) 0.5 1.2 1.9 2.6 3.3 4 EnergyEfficiency(bpj) ×107 Econs b for the BS Energy efiiciency for P2 devices Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 30 / 34
  31. 31. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Simulation Results and Findings Analytical and Simulation Results Findings: Significant impact of the BSs’ energy saving strategies BS sleeping BS deployment density on the UEs’ battery lifetimes has been presented. Promote revisiting traditional energy saving strategies to cope with the ever increasing number of connected machine-type devices in cellular networks. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 31 / 34
  32. 32. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Outline 1 Introduction Motivation Focus and High-Level Research Questions 2 Battery lifetime Assessment 3 Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Problem Formulation Research Methodology Simulation Results and Findings 4 Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 32 / 34
  33. 33. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction Battery lifetime Assessment Performance Tradeoff Analysis in Split M2M/H2H Traffic Serving Performance Tradeoff Analysis in Multiplexing Joint M2M/H2H Performance Tradeoff Analysis in Single/Multi Cell Scenario Simulation Results and Findings More Reading More Reading Thesis: Amin Azari, Energy Efficient Machine-Type Communications over Cellular Networks: A Battery Lifetime-Aware Cellular Network Design Framework, KTH Royal Institute of Technology, 2016. G. Miao, A. Azari, and T. Hwang, E2-MAC: energy efficient medium access for massive M2M communications, IEEE Transactions on Communications, no. 99, 2016. G. Miao, A. Azari, Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence, IEEE Globecom 2016 Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 33 / 34
  34. 34. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Appendix Thanks Questions Thanks for your attention. Amin Azari, Guowang Miao Fundamental Tradeoffs in Serving Massive MTC Services over Cellular Networks 34 / 34

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