Coded Random Access Prioritizing Human Over Machines for Future IoT Networks

Niramah, Khoirun; Ramatryana, I Nyoman Apraz; Anwar, Khoirul

doi:10.1109/tafgen.2018.8580480

Cited by 4 publications

(11 citation statements)

References 10 publications

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“…A study conducted by Ni'amah et al (2018) prioritizes the human group with 10:90 utility function user, which means that from a total of 100 users, the human group consists of 10 users and the machine group…”

Section: Literature Reviewmentioning

confidence: 99%

“…The 1:0.8 utility function time-slot means that the human user group can access the entire time-slot while the machine group can only access 80% of the existing number of time-slot. Ni'amah et al (2018) do not use fading which results in human group rate of 0.073 and machine group of 0.33. For PLR 10-3 offered traffic, the result obtained is 0.7 packets/slot for the human group and 0.23 packets/slot for the machine group.…”

Section: Low Latency Communications Massive Machine Type Communicationsmentioning

confidence: 99%

“…After passing through the transmission channel, signals are properly modulated using BPSK to detect packets to be sent to the time-slot. The symbols in the modulation will be coded using SIC based on bipartite graph (Ni'amah et al, 2018). CRA assumes proper synchronization and perfect detection headers to indicate the successive interference cancellation in the receiver's decoding scheme.…”

Section: Receivermentioning

confidence: 99%

“…SIC decoding for repetition codes is shown in Figure 6 with algorithm and procedures conducted as follow (Ni'amah et al, 2018): a.…”

Section: Successive Interference Cancellation (Sic) Decoding On Repetition Codesmentioning

confidence: 99%

“…Degree distribution in the emergency group user node based on the node-perspective is expressed on the polynomial as follows To analyze network performance using EXIT chart, degree distribution based on edge-perspective is required, it is the first derivative of the node-perspective degree distribution divided by the first derivative of node-perspective by entering value=1. Degree distribution on emergency group UN based on edgeperspective is expressed with equation 19 (Ni'amah et al, 2018).…”

Section: Emergency and General User Group Grouping In Future Networkmentioning

confidence: 99%

See 4 more Smart Citations

Coded Random Access Technique Based on Repetition Codes for Prioritizing Emergency Communication

Ni'amah¹,

Larasati²,

Hikmaturokhman³

et al. 2020

bul. pos. dan telekomun.

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This research uses repetition codes based on Coded Random Access (CRA) to support Internet of Things (IoT) to give priority to emergency communications in super-dense networks. Degree distribution for emergency group and general group are obtained with extrinsic information transfer (EXIT) analysis to achieve small error performance shown by the very small gap between emergency group curve and general group curve. This research also evaluates performance by observing throughput and packet-loss rate (PLR) parameters from every groups. Offered traffic in PLR 10 −2 for emergency group user is G= 0.7 packet/slot without fading and G= 0.65 packet/slot with fading, while for public group is G=0.699 packet/slot without fading and G=0,42 packet/slot with fading. Peak throughput for emergency group is G= 0.737 packet/slot without fading and G= 0.729 packet/slot with fading. Peak Throughput for public group is G= 0.699 packet/slot without fading and G=0.685 packet/slot with fading. Throughput values of emergency group are higher than those of the general group, indicating successful process of giving priority for emergency group.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Low Latency Communications Massive Machine Type Communicationsmentioning

confidence: 99%

Section: Receivermentioning

confidence: 99%

“…SIC decoding for repetition codes is shown in Figure 6 with algorithm and procedures conducted as follow (Ni'amah et al, 2018): a.…”

Section: Successive Interference Cancellation (Sic) Decoding On Repetition Codesmentioning

confidence: 99%

Section: Emergency and General User Group Grouping In Future Networkmentioning

confidence: 99%