Abstract
Background and Objective: This paper considers the model in which the digital feedback equalizer (DFE) together with oblique projection (OB) has been used to minimize the effect of Inter symbol Interference and Inter carrier Interference in multiple input multiple output orthogonal frequency division multiplexing system. The conventional MIMO-OFDM system uses cyclic prefix (CP) to remove ISI in received signals & this cyclic prefix is just an overhead on the transmitted data. In the proposed model CP has been removed and placed with Oblique Projection for saving the bandwidth. Usually by eliminating the CP in the system, the effect of ISI and ICI is not sufficiently removed. The frequency- domain block based decision feedback equalizer with oblique projection technique is proposing to dealing with this problem. This will also improve the spectral efficiency of the system. The proposed system has been able to give improvement of 12dB SNR at BER of 26dB in MMSE equalization and 27dB in zero forcing (ZF) decoding as compared to CP based conventional MIMO-OFDM system.
Result and Conclusion: Further the proposed system has been able to increase the achievable rate at 0dB SNR the rate is 1.8 bits/sec/Hz.
Keywords: MIMO, CP-OFDM, Decision Feedback Equalizer, Oblique Projection, STBC, ICI, ISI.
Graphical Abstract
Call for Papers in Thematic Issues
Federated learning for biomedical applications
Federated learning, also known as distributed AI/machine learning, is a method that enables cooperative learning from big datasets owned by several parties without compromising the privacy of each person's raw data. FL is especially helpful when the needed information is not open source or easily accessible due to tactical or ...read more
Information, Trust, and Risk: Exploring the Intersection of Sensing, Wireless Communications, and Control
Sensing technologies, wireless communications, and control systems are becoming ubiquitous in our daily lives, with the potential to enhance and streamline many aspects of modern society. However, this also creates new challenges in terms of ensuring trust and managing risks associated with the use of these technologies. The sheer volume ...read more
Machine Learning for Industry 4.0 manufacturing applications
This thematic issue will focus on the intersection of Machine Learning and the manufacturing industry within the context of Industry 4.0. Industry 4.0 involves the use of smart sensors, devices, and machines to enable the creation of smart factories that constantly collect data related to production. Machine Learning techniques can ...read more
Next-Generation Network Architecture, Algorithms, and Security
Design of new network architectures, algorithms and protocols is one of the fundamental challenges in next-generation networking. To this end, novel networking techniques and applications are required for advancing today?s complex communication networks. This thematic issue provides researchers, industry professionals and practitioners with a forum to present the latest research ...read more
Related Books
IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications
AIoT and Big Data Analytics for Smart Healthcare Applications
Research Trends in Artificial Intelligence: Internet of Things
Artificial Intelligence and Multimedia Data Engineering
Basics of Python Programming: A Quick Guide for Beginners
Blockchain Technology in Healthcare - Concepts, Methodologies, and Applications
Artificial Intelligence and Knowledge Processing: Methods and Applications
Handbook of Artificial Intelligence
Amazon Web Services: the Definitive Guide for Beginners and Advanced Users
The Role of AI in Enhancing IoT-Cloud Applications
9
5