Energy Efficient Channel Coding for Terahertz Communications in 6G Networks

For the 6G system, THz communications are the key wireless technology that meets several demands as well as being able to support wireless links up to several terabits. The terahertz band (0.1-10 THz) is on the development paths, with an ultra-wide bandwidth and a wavelength of less than a millimeter. However, it suffers from a number of challenges, including range limitation, molecular absorption, and attenuation. Due to the low battery capacity of nano-sensors and bandwidth expansion, energy efficiency (EE) is a critical aspect of nano-communication in the THz band. To address the above key challenges, it aims to improve network EE by dynamically selecting channel modeling and efficiently minimizing energy coding for terahertz communication. We propose a channel coding approach called Low-Weight Coding (LWC) and Minimum Energy Code (MEC). In this paper, we analyze the performance of EE and Spectral Energy (SE) channels in the THz band. The numerical simulation results show that using the proposed methods for THz communications improves data rate, channel capacity, EE, SE, and reduces the complexity of nano-device design.