Research Article
On Novel Access and Scheduling Schemes for IoT Communications
Table 1
Major simulation parameters.
| Parameters | Values |
| Tx power | 23 dBm for 3D-UMa 500 m for UEs and IoT devices | Duplex | FDD | Tx antenna configurations | Tx antenna elements config.: 1 omni for both UEs and IoT devices | Rx antenna configurations | BS Rx antenna elements config: , 0.5 λ H/0.8 λV | Traffic model | Date rate 0.5 Mbps TR36.814 Ftp model 2 for UEs [17] Data rate 80 kbps for IoT devices | Modulation | AMC for UEs QPSK for IoT devices | Coding scheme | AMC for UEs Turbo Code (code rate 0.23) for IoT | System bandwidth | 10 MHz (50 PRBs) | Power control | Open loop fractional power control for UEs; alpha = 0.7 dBm | Network synchronization | Synchronized | MUSA | Spreading sequences are generated by pseudorandom sequences | UE distribution | Number of UEs = 300, distribution according to 36.873 [18], Poisson arrival with rate 10/sec | IoT distribution | Number 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 | Receiver | MMSE-IRC, detailed guidelines according to Rel-12 assumptions [20] | | SRS | 1Tx, 5 ms periodicity, wideband |
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