SNR-CQI Mapping for 5G Downlink Network
Abitha K. Thyagarajan, Priyeash Balasubramanian, D. Vydeki, M Karthik
Abstract
In a communication model, the Signal to Noise Ratio (SNR), Channel Quality Indicator (CQI) and modulation schemes are important factors that influence the quality of the communication, and so it is vital to establish the relationship between these factors. In this work, an SNR-CQI mapping relationship was derived, which was observed to yield a greater data rate over existing relationships described in the literature. A simple downlink transmission for a single User Equipment (UE) in a 5G network was simulated and validated using a new mapping proposed as well as existing mappings. The 256QAM modulation scheme was found to give the maximum throughput. Finally, a single simulation was developed, in which the downlink traffic for four UEs within a single cell was simulated. The UEs were scheduled using the Proportional Fair scheduling algorithm. Various application requirements such as gaming, video, and audio traffic were simulated. The result shows that the proposed mapping improves the throughput of the 5G downlink system by 30.75% more than the existing mapping schemes.