Open Access

ARTICLE

OFDM-CFO and Resource Scheduling Algorithm Using Fuzzy Linear-CFO

M. Prabhu^1,*, B. Muthu Kumar²

1 Department of Electronics and Communication, Anna University, Chennai, 600025, India
2 Department of Computer Science and Engineering, Syed Ammal Engineering College, Ramanathapuram, 623502, India

* Corresponding Author: M. Prabhu. Email:

Intelligent Automation & Soft Computing 2023, 35(2), 2513-2525. https://doi.org/10.32604/iasc.2023.027823

Received 26 January 2022; Accepted 06 April 2022; Issue published 19 July 2022

Abstract

Orthogonal Frequency-Division Multiplexing (OFDM) is the form of a digital system and a way of encoding digital data across multiple frequency components that are used in telecommunication services. Carrier Frequency Offset (CFO) inaccuracy is a major disadvantage of OFDM. This paper proposed a feasible and elegant fuzzy-based resource allocation technique, that overcomes the constraints of the CFO. The suggested Fuzzy linear CFO estimation (FL-CFO) not only estimates the CFO with increased precision but also allocates resources effectively, and achieves maximum utilization of dynamic resources. The suggested FL-CFO error estimation algorithm in OFDM systems employing 1-bit Quadrate errors ADC (1-bit QE) is utilized to extract the precise CFO. Additionally, the base station (BS) manages the Resource Units (RU), which could be used to distribute resources in such a manner that the user requests are met. To assign resources to a certain job, fuzzy rules are devised. When the residence duration exceeds the resource requirement time then the particular resources are provided to the highest-priority jobs. As a result, the job performance will not be halted due to a lack of allocated resources. Performance metrics such as utilization, rate of failure, and life span, as well as energy consumption, are used to assess the proposed FL-CFO.

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Keywords

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