Improved PAPR Reduction in UFMC Systems using Tree Seed Algorithm and Partial Transmit Sequence

Problem Definition

From the literature survey conducted on UFMC (Universal Filtered Multi-Carrier) systems, it is evident that while UFMC has shown promise as a reliable and low latency wireless communication system for asynchronous transmissions, there is a notable limitation in the form of high Peak-to-Average Power Ratio (PAPR) values. These high PAPR values pose a significant problem as they degrade the overall performance of UFMC systems. The impact of high PAPR is felt through decreased effectiveness of analog to digital converters and power amplifiers, ultimately leading to increased energy consumption. Despite efforts to address this issue with standard PAPR reduction techniques such as Partial Transmit Sequence (PTS), Selected Mapping (SLM), and clipping, it has been observed that these methods alone do not provide the desired level of efficiency and effectiveness when applied to UFMC systems individually. Thus, there is a pressing need for the development of an effective hybrid PAPR reduction technique specifically tailored to mitigate the high PAPR problem in UFMC systems.

The lack of comprehensive analysis and structured studies on the effectiveness of UFMC systems underscores the importance of addressing this limitation to enhance the performance and energy efficiency of UFMC communication systems.

Objective

The objective of this work is to develop an optimized approach using the Tree Seed Algorithm (TSA) based Partial Transmit Sequence (PTS) technique to reduce high Peak-to-Average Power Ratio (PAPR) values in UFMC (Universal Filtered Multi-Carrier) systems. The current limitations in UFMC systems, caused by high PAPR values, have led to decreased efficiency of analog to digital converters and power amplifiers, resulting in higher energy consumption. Traditional PAPR reduction techniques such as PTS, SLM, and clipping have not been effective when applied individually. By integrating TSA with PTS, the aim is to enhance the performance of UFMC systems by reducing computational complexity and achieving effective PAPR reduction. This approach is expected to improve communication efficacy, spectral efficiency, and reduce signal distortion in UFMC systems, ultimately contributing to the advancement of wireless communication technologies.

Proposed Work

In this work, we aim to address the gap in literature regarding the effectiveness of UFMC systems in reducing PAPR values. By proposing an optimized approach using Tree Seed Algorithm (TSA) based Partial Transmit Sequence (PTS) technique, we aim to significantly decrease the PAPR values in UFMC systems. The current issue with high PAPR values in UFMC systems has been affecting their performance by reducing the efficiency of analog to digital converters and power amplifiers, leading to higher energy consumption. Traditional PAPR reduction techniques such as PTS, SLM, and clipping have not been able to provide efficient results when applied individually in UFMC systems. Therefore, by integrating TSA with PTS, we aim to improve the performance of UFMC systems by reducing computational complexity while achieving effective PAPR reduction.

The proposed approach will involve developing a new UFMC model based on TSA algorithm that can effectively reduce PAPR values in UFMC systems. By leveraging the advantages of the TSA algorithm, such as controlled search tendency and the ability to generate multiple solutions for a given problem, we aim to enhance the search ability of PTS and reduce the computational complexity associated with traditional PAPR reduction techniques. By fine-tuning the parameters of PTS using TSA, we aim to achieve a balance between reducing PAPR values and improving the overall performance of UFMC systems. This approach is expected to enhance communication efficacy, improve spectral efficiency, and reduce signal distortion in UFMC systems, ultimately contributing to the advancement of wireless communication technologies.

Application Area for Industry

This project's proposed solutions can be applied in various industrial sectors such as telecommunications, aerospace, defense, and automotive industries where reliable and low latency wireless communication systems are crucial. By addressing the challenge of high peak-to-average power ratio (PAPR) values in UFMC systems, the proposed hybrid PAPR reduction technique using Tree Seed Algorithm (TSA) can greatly benefit these industries. By reducing the PAPR values, the performance of the UFMC systems can be improved, leading to enhanced communication efficacy and reduced energy consumption. The use of the TSA algorithm with the traditional Partial Transmit Sequence (PTS) technique not only enhances search ability and reduces computational complexity but also provides more efficient results compared to individual PAPR reduction techniques commonly used in UFMC systems. Overall, implementing this project's solutions can result in more efficient and effective communication systems in various industrial domains.

Application Area for Academics

The proposed project focusing on utilizing Tree Seed Algorithm (TSA) along with Partial Transmit Sequence (PTS) for reducing peak-to-average power ratio (PAPR) in UFMC systems has significant potential to enrich academic research, education, and training in the field of wireless communications. This project addresses a critical issue in UFMC systems by proposing an innovative hybrid PAPR reduction technique that can enhance the communication effectiveness and reduce energy consumption. The relevance of this project lies in its application within educational settings for conducting innovative research methods, simulations, and data analysis in the field of wireless communications. Researchers, MTech students, and PhD scholars can benefit from the code and literature generated by this project to explore new avenues in UFMC system optimization. The use of TSA algorithm in combination with PTS showcases the integration of evolutionary optimization techniques in traditional PAPR reduction methods, offering a novel approach that can be further extended and expanded upon by researchers.

The proposed project not only contributes to the advancement of UFMC systems but also opens up possibilities for exploring the application of TSA algorithm in other research domains within wireless communications. By providing a practical solution to the high PAPR problem in UFMC systems, this project has the potential to inspire further research and innovation in the field. In the future, the scope of this project could be extended to include performance evaluation, real-time implementation, and comparison with existing PAPR reduction techniques. Additionally, the application of TSA algorithm in other aspects of wireless communications could be explored, leading to further advancements in the field. Overall, the proposed project offers a valuable opportunity for academic research, education, and training in the domain of wireless communications and optimization techniques.

Algorithms Used

In this work, a new, effective, reliable with low latency UFMC model based on the Tree Seed Algorithm (TSA) algorithm is proposed. The main objective is to reduce the PAPR value in UFMC systems to enhance communication efficacy. Standard PAPR reduction techniques like clipping, filtering, tone injection, selected mapping, and partial transmit sequence (PTS) have limitations when used separately in UFMC systems. The PTS technique is known for significantly reducing PAPR in multi-carrier systems, but its enumerative search complexity increases with the number of sub-blocks. To address this issue, the TSA algorithm is used in conjunction with PTS in the proposed model.

The TSA algorithm helps improve the search ability of PTS, reduce computational complexity, and enhance the performance of UFMC systems. The controlled search tendency and ability to generate solutions make the Tree Seed Algorithm a suitable choice for this project.

Keywords

SEO-optimized keywords: UFMC, PAPR reduction, Tree Seed Algorithm, TSA, Peak-to-Average Power Ratio, Evolutionary Optimization, Hybrid PAPR reduction techniques, Partial Transmit Sequence, PTS, Multi-carrier modulation, Computational complexity, Wireless communication system, Spectral efficiency, Signal distortion, Low latency, Analog to digital converter, Power amplifier, Energy consumption, Communication efficacy, Clipping, Selected Mapping, Tone injection, Filtering, Intra-block, Inter-block, Computational complexity, Search ability, Solution generation, Performance enhancement.

SEO Tags

UFMC, Universal Filtered Multi-Carrier, PAPR Reduction, Peak-to-Average Power Ratio, TSA Algorithm, Tree Seed Algorithm, PTS, Partial Transmit Sequence, Wireless Communication, Evolutionary Optimization, Low Latency Communication, Multi-Carrier Modulation, Signal Distortion, Spectral Efficiency, Research Scholar, Research Topic, PHD, MTech Student, Communication Systems, Asynchronous Transmissions, Energy Consumption, Analog to Digital Converter, Power Amplifier, Computational Complexity, Performance Enhancement, Optimization Techniques, Search Ability, Simulation Analysis