Today, high data rate is the prior requirement to support services and applications. It is definitely a challenge for the 5G New Radio (NR) in providing high data rates, in order to support use cases, especially enhanced Mobile Broadband (eMBB). The objective of this research is to design a 5G network which has greater data rates employing carrier aggregation techniques. Carrier Aggregation (CA) is a way which is able to improve data rates by aggregate component carriers, hence, it can make a wider bandwidth. There are three modes of CA scenario that can be used: intra-band contiguous CA, intra-band non-contiguous CA, and inter-band noncontiguous CA. In this research, the 5G network planning with carrier aggregation on inter-band employing bandwidth 40 MHz at frequency 2300 MHz and bandwidth 100 MHz at frequency 3500 MHz was simulated in Mentum Planet software. The simulation implemented at Marunda Center Industrial Area in Bekasi used downlink outdoor-to-indoor (O2I) with Line of Sight (LOS) scenario. The parameters analyzed in this research employed three main parameters: SS-RSRP, SS-SINR and data rate, which resulted CA SS-RSRP increased by 0.14%, SSSINR increased by 4.48%, and peak data rate increased up to 1412.26 Mbps from 312.872 Mbps

This paper plans a LoRaWAN network for smart meters in Karawang Industrial Estate, Indonesia's largest industrial estate. To measure and recognize electricity use in a place immediately, we use a tool called a smart meter, which is part of the Internet of Things (IoT), to provide control and optimization of electricity. Smart meters will operate using LoRaWAN network connectivity as a LoRaWAN communication protocol that supports IoT use at a frequency of 920-923 MHz using coverage planning and capacity planning using Forsk Atoll 3.3.2 simulation software. The parameters used in this study are Spreading Factor (SF) 7, Code Rate (CR) 4/5, Bandwidth 125 kHz, Signal to Noise Ratio (SNR), and Reference Signal Received Power (RSRP). We use them to obtain the number of gateways needed to optimize the scope of gateways for sending electricity monitoring data to Karawang Industrial Estate and knowing the value generated from the parameters above. The simulation of LoRaWAN planning resulted in RSRP with a mean of-77.94 dBm and a standard deviation of 8.27 dBm. The SNR result has a mean of 13.14 dB with a standard deviation of 9.68 dB. The last parameter is that throughput ranges of 4-6 kbps with a mean of 5.47 kbps. The result of this planning produces RSRP, SNR, and Throughput parameter values in good condition to be applied to the application of smart metering in Karawang Industrial Estate.

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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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