@Article{iasc.2023.027823,
AUTHOR = {M. Prabhu, B. Muthu Kumar},
TITLE = {OFDM-CFO and Resource Scheduling Algorithm Using Fuzzy Linear-CFO},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {35},
YEAR = {2023},
NUMBER = {2},
PAGES = {2513--2525},
URL = {http://www.techscience.com/iasc/v35n2/48884},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2023.027823}
}