Abstract
The demand for wireless access continues to grow with the new applications which create a broad range of technical challenges. Although orthogonal frequency division multiplexing (OFDM) with multiple numerologies concept will likely address the current technical challenges of fifth generation (5G) wireless networks, the sufficiency of OFDM-based physical layer (PHY) is quite disputable due to massive growth trend on the number of wireless users and applications for future wireless networks. Therefore, enhanced radio access technologies (RATs) are needed to fulfill the technical requirements of beyond 5G networks. Generalized frequency division multiplexing (GFDM) has attracted tremendous attention over the past few years because of its advantages in terms of out-of-band (OOB) emission, spectral efficiency and latency. Index modulation (IM) techniques convey digital information by utilizing transmission entities in an innovative way and offer attractive advantages such as energy and spectral efficiency without increasing the computational complexity. On the other hand, multiple-input multiple-output (MIMO) transmission is an unquestionable technology to enable increased spectral efficiency. In this paper, a novel MIMO-GFDM scheme, which combines spatial multiplexing (SMX) MIMO transmission, GFDM and IM, is proposed in order to provide an efficient transmission scheme for beyond 5G wireless networks. A minimum mean squared error (MMSE)-QR decomposition-based near-optimum detector is proposed for the receiver side and bit error rate, OOB emission, spectral efficiency and computational complexity of the proposed scheme are compared with classical SMX-OFDM and SMX-GFDM schemes via computer simulations. It has been demonstrated that the proposed SMX-GFDM-IM scheme can be considered as a viable PHY scheme for beyond 5G wireless networks.
| Original language | English |
|---|---|
| Pages (from-to) | 27-37 |
| Number of pages | 11 |
| Journal | Physical Communication |
| Volume | 34 |
| DOIs | |
| Publication status | Published - Jun 2019 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier B.V.
Funding
Hakan Ali Çırpan received the B.S. degree in 1989 from Uludag University, Bursa, Turkey, the M.S. degree in 1992 from the University of Istanbul, Istanbul, Turkey, and the Ph.D. degree in 1997 from the Stevens Institute of Technology, Hoboken, NJ, USA, all in electrical engineering. From 1995 to 1997, he was a Research Assistant with the Stevens Institute of Technology, working on signal processing algorithms for wireless communication systems. In 1997, he joined the faculty of the Department of Electrical-Electronics Engineering at The University of Istanbul. In 2010 he has joined to the faculty of the department of Electronics and Communication Engineering at Istanbul Technical University. His general research interests cover wireless communications, statistical signal and array processing, system identification and estimation theory. His current research activities are focused on machine learning, signal processing and communication concepts with specific attention to next generation mobile wireless communication systems. Dr. Cirpan received Peskin Award from Stevens Institute of Technology as well as Prof. Nazim Terzioglu award from the Research fund of The University of Istanbul. He is a Member of IEEE and Member of Sigma Xi.
| Funders | Funder number |
|---|---|
| Stevens Institute of Technology | |
| Istanbul Üniversitesi |
Keywords
- 5G wireless networks
- GFDM
- Index modulation
- MIMO systems
- Multicarrier modulation
- Physical layer design
- Spatial multiplexing