Sustainable Power Consumption for Variance-Based Integration Model in Cellular 6G-IoT System

Prabhu Ramamoorthy, Sumaya Sanober, Luca Di Nunzio () and Gian Carlo Cardarilli
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Prabhu Ramamoorthy: Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal 637018, India
Sumaya Sanober: Department of Computer Science, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia
Luca Di Nunzio: Dipartimento di Ingegneria Elettronica, University of Rome Tor Vergata, 00133 Rome, Italy
Gian Carlo Cardarilli: Dipartimento di Ingegneria Elettronica, University of Rome Tor Vergata, 00133 Rome, Italy

Sustainability, 2023, vol. 15, issue 17, 1-22

Abstract: With the emergence of the 5G network, the count of analysis papers associated with the 6G Internet of Things (IoT) has rapidly increased due to the rising attention of researchers in next-generation technology, 6G networks and IoT techniques. Owing to this, grasping the overall research topics and directions is a complex task. To mutually address the significant issues of 6G cellular IoT, i.e., information transmission, data aggregation and power supply, we proposed a variance-based integrating model for the 6G-IoT approach that considers energy, communication and computation (ECC). Initially, the base station (BS) charges huge IoT devices concurrently utilizing WPT in the downlink. After that, IoT devices gather the energy to perform the communication task and the computation task in the uplink in a similar spectrum. Also, the model integrates the optimization of transmit beams via the Improved Ant Colony Optimization (IACO) model to balance the system performance, power consumption and computational complexity. Further, this study exploited activated Remote Radio Units (RRUs) to improve the network performance and energy efficiency in the downlink model. The simulation outcomes evaluate the performance of the proposed work over the conventional models concerning error analysis. From the results, the MSE value in the IACO work is much lower, around 0.011, while the compared schemes achieved comparatively higher MSE values.

Keywords: 6G Internet of Things; beamforming; communication; energy; improved ant colony optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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