• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 1, Pages: 37-46

Original Article

Application of a Trellis Coded Modulation to Ameliorate the 5G Communication for Tropical Regions

Received Date:24 October 2022, Accepted Date:01 December 2022, Published Date:05 January 2023


Objectives: To minimize the bit error rate and enhance the radio signal power by an application of the Trellis Coded Modulation (TCM) for the Fifth Generation (5G) technology in tropical regions. Methods: Various diversity techniques have been adopted to diminish the Bit Error Rate. A Communication link model has been proposed in this work and an STBC MIMO system (Space-Time Block Coding multiple-input multiple-output) has been applied to enhance the diversity gain and coding gain of the proposed model. The said model has been implemented in this work for tropical regions for increasing the radio signal power. Findings: The basic climatic feature of tropical regions is a heavy amount of rainfall throughout the year. Because of such rainfall, the radio signal power in these regions gets diminished, and the Bit Error Rate (BER) increases. By applying the proposed communication link model in the tropical regions the Bit Error Rate has been reduced. The values of the Bit Error Rate of the proposed model have been obtained for Rayleigh distribution, Rician distribution and various MIMO techniques. Novelty: A hardware cosimulation block and a 4x4 STBC MIMO has been developed with its subsequent verification on Xilinx Kintex-7 FPGA board.

Keywords: Bit error rate; MIMO Systems; Xilinx system generator; Trellis coded modulation; FPGA; Signal attenuation


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© 2022 Patra & Mitra. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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