Shannon Capacity Analysis for 4G LTE Networks in Makassar Industrial Estate Based on Optimized Measurements and SINR Evaluation
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DOI:
https://doi.org/10.67228/30716357/IJMRSE-V9I3P101Published 08-18-2026
Shannon Capacity, 4G LTE, SINR, Drive Test Measurement, Network Performance Evaluation Issue
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ArticlesHow to Cite
Shannon Capacity Analysis for 4G LTE Networks in Makassar Industrial Estate Based on Optimized Measurements and SINR Evaluation. (2026). International Journal of Modern Research in Science & Engineering, 9(3), 01-14. https://doi.org/10.67228/30716357/IJMRSE-V9I3P101Abstract
This work investigates the difference between theoretical LTE channel capacity and throughput measured in the Makassar Industrial Estate. Drive tests were conducted during four time periods, including morning, afternoon, evening, and night, along routes that pass warehouses, manufacturing facilities, and other large structures. At each measurement point, RSRP, RSRQ, RSSI, SINR, modulation scheme, and downlink throughput were recorded. SINR values were converted from decibels to linear scale and inserted into the Shannon formula using a channel bandwidth of 20 MHz. Morning measurements produced Shannon capacity estimates between 10.51 Mbps and 75.20 Mbps. Locations with nearly identical RSRP frequently yielded very different capacity values because of differences in SINR. Across all four periods the calculated Shannon capacity was higher than the measured throughput at most observation points, one afternoon sample (SINR = 7 dB) recorded a throughput of 89.47 Mbps that exceeded the corresponding Shannon estimate of 51.80 Mbps, an anomaly that may reflect carrier aggregation, measurement-window mismatch, or scheduling effects. The results indicate that interference and resource-allocation behavior, rather than received power alone, largely determine the practical data rate observed in this industrial setting.
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Shannon Capacity Analysis for 4G LTE Networks in Makassar Industrial Estate Based on Optimized Measurements and SINR Evaluation. (2026). International Journal of Modern Research in Science & Engineering, 9(3), 01-14. https://doi.org/10.67228/30716357/IJMRSE-V9I3P101