Energy-Efficient Mechanism for Smart Communication in Cellular Networks
Syed Waqas Haider Shah, Ahmad Talal Riaz, Zahoor Fatima

TL;DR
This paper proposes an energy-efficient communication scheme for cellular networks supporting IoT devices by reducing data transmission size, thereby decreasing base station power consumption, validated through system-level simulations.
Contribution
A novel data reduction scheme for cellular base stations that significantly lowers energy consumption in IoT-enabled networks.
Findings
Reduced base station power consumption in simulations
Effective data reduction techniques implemented
Potential for energy savings in large-scale IoT deployments
Abstract
Internet-of-things (IoT) is gaining popularity in recent times. Cellular network can be an appropriate solution for the IoT connectivity. With the exponential increase in the number of connected IoT devices, energy consumption is a bottleneck for wireless connectivity solutions. In this work, we proposed a scheme to decrease the power consumption of a base station of a cell. The maximum power consumption of a base station is associated with its data processing, routing, and transmission. Our scheme reduce the size of the transmission data which ultimately reduce the power consumption associated with it. Multiple data reduction techniques have been used for this purpose. System level simulations show the efficiency of our proposed system.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
