Research Article

On Novel Access and Scheduling Schemes for IoT Communications

Table 1

Major simulation parameters.

ParametersValues

Tx power23 dBm for 3D-UMa 500 m for UEs and IoT devices
DuplexFDD
Tx antenna configurationsTx antenna elements config.: 1 omni for both UEs and IoT devices
Rx antenna configurationsBS Rx antenna elements config: , 0.5 λ H/0.8 λV
Traffic modelDate rate 0.5 Mbps TR36.814 Ftp model 2 for UEs [17]
Data rate 80 kbps for IoT devices
ModulationAMC for UEs
QPSK for IoT devices
Coding schemeAMC for UEs
Turbo Code (code rate 0.23) for IoT
System bandwidth10 MHz (50 PRBs)
Power controlOpen loop fractional power control for UEs; alpha = 0.7  dBm
Network synchronizationSynchronized
MUSASpreading sequences are generated by pseudorandom sequences
UE distributionNumber of UEs = 300, distribution according to 36.873 [18], Poisson arrival with rate 10/sec
IoT distributionNumber of devices varied from 1 to 30000 in steps of 3000, distribution according to 36.873
Access intensity as traffic model 2 in [19]
Non-ideal channel estimation
ReceiverMMSE-IRC, detailed guidelines according to Rel-12 assumptions [20]
SRS1Tx, 5 ms periodicity, wideband