Work

Energy Efficient Massive MIMO IoT Network: A Power and MSE Constrained Approach

Year: 2024

Type: conference-paper

Abstract: This paper considers massive multiple-input multiple-output (MIMO) Internet of Things (IoT) networks where each sensor is equipped with a single antenna, while the fusion center (FC) is equipped with a massive array of antennas. Each sensor takes the linear noisy observation of the underlying unknown random quantity, pre-processes it, and then transmits its precoded observation to the FC over a fading wireless channel for efficient post-processing. Since these sensors are battery-operated tiny devices, energy efficiency (EE) becomes such a critical factor to optimize, while individual mean square error (MSE)-based quality of service (QoS) constraints ensures an efficient estimation of the random quantities at the FC. Quadratic transform theory is used to solve the resulting non-convex EE maximization problem, and the first-order Taylor series approximation is used to linearize the non-convex quantities. Our numerical results corroborate the analytical findings of this work.

Source: International Conference on Signal Processing and Communications (SPCOM)

DOI: 10.1109/spcom60851.2024.10631580

Authors: Kunwar Pritiraj Rajput, Ekant Sharma, Prem Singh, Bhavani Shankar Mysore Ramarao

Institutions: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust, Indian Institute of Technology Roorkee, International Institute of Information Technology Bangalore

Language: English

Topic: Distributed Sensor Networks and Detection Algorithms

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Department of Forestry and Natural Resources, Purdue University