S1G Coexistence Simulation Update

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S1G Coexistence Simulation Update Month Year doc.: IEEE 802.11-yy/xxxxr0 April 2019 S1G Coexistence Simulation Update Date: 2019-05-14 Authors: Notice: This document has been prepared to assist IEEE 802.19. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Yuki Nagai et al, MERL John Doe, Some Company

Month Year doc.: IEEE 802.11-yy/xxxxr0 April 2019 Summary Presentation to TG3 of simulation update for coexistence of IEEE 802.15.4g and IEEE 802.11ah using new simulation parameters for smart utility use cases based on comments on March IEEE 802.19.3 meeting toward recommended practice document Results showed same trend with previous simulation results with mutual interference This document gathers relevant material from 19-19/0019r0, 19-18/0056r3, 19-18/0039r1 and 19-19/0021r2. Yuki Nagai et al, MERL John Doe, Some Company

Simulation Parameters and Performance Metrics April 2019 Simulation Parameters and Performance Metrics Sub-1GHz Coexistence Simulation Parameters has been listed on doc. 19-18/0039. Some simulation parameters were updated based on the March meeting. Number of nodes [15*, 50, 100] *500 nodes / km2 – based on use case comments at March meeting Total offered load for 802.15.4g network and 802.11ah network [10, 20, 40] kb/s Packet size 100 byte PHY data rate 300 kb/s for 802.11ah 100 kb/s for 802.15.4g Data packet delivery rate # 𝑜𝑓 𝑝𝑎𝑐𝑘𝑒𝑡𝑠 𝑟𝑒𝑐𝑒𝑖𝑣𝑒𝑑 # 𝑜𝑓 𝑝𝑎𝑐𝑘𝑒𝑡𝑠 𝑡𝑟𝑎𝑛𝑠𝑚𝑖𝑡𝑡𝑒𝑑 Data packet latency Start timer when CSMA/CA is started, stop timer when ACK is received. 𝑇 𝑏𝑎𝑐𝑘𝑜𝑓𝑓 + 𝑇 𝐷𝑎𝑡𝑎𝑇𝑋 + 𝑇 𝐴𝑐𝑘𝑊𝑎𝑖𝑡 + 𝑇 𝐴𝑐𝑘𝑅𝑋 Propagation Model SEAMCAT Extended Hata Model (Suburban) – based on use case comments at March meeting 802.15.4: Utility pole height to node location level 802.11ah: AP/STA location level ITU-R P.1411 NLoS (between terminals located from below roof-top height to near street level) Yuki Nagai et al, MERL

Node Deployment : 15 nodes (500 nodes/km2) April 2019 Node Deployment : 15 nodes (500 nodes/km2) 802.11ah (AP/STA) #1 802.11ah (AP/STA) #2 802.11ah (AP/STA) #3 802.15.4g (PANC) * 802.15.4g (NODE) Yuki Nagai et al, MERL

Propagation Model April 2019 In consideration of device location, SEAMCAT Extended Hata Model (Suburban) was also added for simulation. Device location 802.15.4: Utility pole height to node location level 802.11ah: AP/STA location level SEAMCAT Extended Hata Model ITU-R P.1411 Models for propagation between terminals located from below roof-top height to near street level Yuki Nagai et al, MERL

Propagation Model SEAMCAT Extended Hata Model (Suburban) April 2019 Yuki Nagai et al, MERL

Case 11: 15 Nodes, 10 kbps for 802.11ah and 10 kbps for 802.15.4g April 2019 Case 11: 15 Nodes, 10 kbps for 802.11ah and 10 kbps for 802.15.4g Packet delivery rate 802.11ah delivers 100% of packets 802.15.4g delivers 96.4% of packet Packet latency In general, 802.11ah achieves shorter packet latency than 802.15.4g 802.11ah delay in [4.9ms, 189.1ms], 802.15.4g delay in [12.7ms, 206.3ms] 15.4g CSMA  ACK Rx 11ah CSMA  ACK Rx Yuki Nagai et al, MERL

Case 12: 15 Nodes, 20 kbps for 802.11ah and 10 kbps for 802.15.4g April 2019 Case 12: 15 Nodes, 20 kbps for 802.11ah and 10 kbps for 802.15.4g Packet delivery rate 802.11ah delivers 100% of packets 802.15.4g delivers 91.9% of packet Packet latency In general, 802.11ah achieves shorter packet latency than 802.15.4g 802.11ah delay in [4.9ms, 378.4ms], 802.15.4g delay in [12.8ms, 198.1ms] 15.4g CSMA  ACK Rx 11ah CSMA  ACK Rx Yuki Nagai et al, MERL

Case 13: 15 Nodes, 40 kbps for 802.11ah and 10 kbps for 802.15.4g April 2019 Case 13: 15 Nodes, 40 kbps for 802.11ah and 10 kbps for 802.15.4g Packet delivery rate 802.11ah delivers 100% of packets 802.15.4g delivers 75.9% of packet Packet latency In general, 802.11ah achieves shorter packet latency than 802.15.4g 802.11ah delay in [4.9ms, 414.4ms], 802.15.4g delay in [12.8ms, 224.6ms] 15.4g CSMA  ACK Rx 11ah CSMA  ACK Rx Yuki Nagai et al, MERL

Case 14: 15 Nodes, 20 kbps for 802.11ah and 20 kbps for 802.15.4g April 2019 Case 14: 15 Nodes, 20 kbps for 802.11ah and 20 kbps for 802.15.4g Packet delivery rate 802.11ah delivers 99.9% of packets 802.15.4g delivers 82.1% of packet Packet latency In general, 802.11ah achieves shorter packet latency than 802.15.4g 802.11ah delay in [4.9ms, 550.3ms], 802.15.4g delay in [12.8ms, 263.5ms] 15.4g CSMA  ACK Rx 11ah CSMA  ACK Rx Yuki Nagai et al, MERL

Case 15: 15 Nodes, 40 kbps for 802.11ah and 20 kbps for 802.15.4g April 2019 Case 15: 15 Nodes, 40 kbps for 802.11ah and 20 kbps for 802.15.4g Packet delivery rate 802.11ah delivers 99.9% of packets 802.15.4g delivers 60.7% of packet Packet latency In general, 802.11ah achieves shorter packet latency than 802.15.4g 802.11ah delay in [4.9ms, 989.1ms], 802.15.4g delay in [12.8ms, 296.6ms] 15.4g CSMA  ACK Rx 11ah CSMA  ACK Rx Yuki Nagai et al, MERL

Simulation Results Summary April 2019 Simulation Results Summary Case Node Total Offered Load [kbps] Packet Delivery Rate [%] Packet Latency [avg., min, max] [ms] 11ah 15.4g 11 15 10 100 96.4 [8.7, 4.9, 189.1] [32.3, 12.7, 206.3] 12 20 91.9 [10.0, 4.9, 378.4] [33.6, 12.8, 198.1] 13 40 75.9 [15.2, 4.9, 414.4] [36.8, 12.8, 224.6] 14 99.9 82.1 [15.2, 4.9, 550.3] [43.6, 12.8, 263.5] 60.7 [25.4, 4.9, 989.1] [46.3, 12.8, 296.6] Yuki Nagai et al, MERL

March 2019 Summary Simulation results with new parameters commented on March meeting showed same trend with previous simulation results. 802.11ah impacts 802.15.4g packet delivery 802.15.4g impacts 802.11ah packet latency 802.11ah packet latency is unbounded CCA is required in each backoff slot Backoff counter decreases only if the channel is idle 802.15.4g packet latency is bounded CCA is not required during random backoff period CCA is performed after random backoff period We would like the IEEE 802.19.3 to continue the discussion of simulation as inputs for Recommended Practice Yuki Nagai et al, MERL