Читать книгу Wearable and Neuronic Antennas for Medical and Wireless Applications - Группа авторов - Страница 12

Ubaid M. Al-Saggaf1,2, Muhammad Moinuddin1,2*, Syed Saad Azhar Ali3, Syed Sajjad Hussain Rizvi4 and Muhammad Faisal5

1Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, Saudi Arabia

2Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

3Center for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Malaysia

4Computer Science Department, SZABIST, Karachi, Pakistan

5Computer & Information Technology Dept., Dammam Community College, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Abstract

Multi-carrier communications (MC) have gained a lot of interest as they have shown better spectral efficiency and provide flexible operation. Thus, the MC are strong candidates for the fifth generation of mobile communications. The Cyclic-prefix orthogonal frequency division multiplexing (CP-OFDM) is the most famous technique in the MC as it is easy to implement. However, the OFDM has poor spectral efficiency due to limited filtering options available. Thus, to enhance spectral efficiency, an alternative to OFDM called Filter bank multicarrier (FBMC) communication was introduced, which has more freedom of filtering options. On the other hand, the FBMC preserves only real orthogonality for the waveforms, resulting in imaginary interference. Hence, the equalization in FBMC has to deal with this additional interference which becomes challenging in multiuser communication. In this chapter, the aim is to deal with this challenge.

Keywords: Multiuser communications, multicarrier communications, OFDM, FBMC, 5G, equalization, machine learning, MMSE