Bandwidth-efficient and reliable communication in smart grid systems for modern energy networks using Trellis and Turbo Trellis Coded Modulation

Abstract

Abstract Smart Grids rely on robust communication infrastructures to monitor, control, and stabilize information in real time across geographically distributed energy resources. Trellis Coded Modulation (TCM) is a well-established technique for improving spectral efficiency and reliability, particularly in bandwidth-constrained and noisy channels. By combining convolutional coding with multilevel modulation, TCM achieves significant coding gains without increasing bandwidth, making it well suited for Smart Grid communication links. Turbo Trellis Coded Modulation (TTCM) extends TCM by incorporating parallel concatenated trellis encoders with iterative decoding, further enhancing performance and robustness under a wide range of channel distortions, including additive noise and fading. In this paper, we present the underlying mathematical framework for TCM and TTCM, simulation results under AWGN and Rayleigh fading channels, and comparisons to uncoded transmission. We also discuss future prospects of TCM, including integration with AI-driven adaptive coding and 5G-enabled Smart Grid infrastructures, highlighting the critical role of high-reliability communication systems in next-generation energy networks. Consequently, TTCM offers a hybrid solution that combines strong error correction with efficient bandwidth utilization, ensuring dependable communication for reliability-critical Smart Grid applications.