NDLI: MIMO–OFDM communication systems for traffic data transmission in 5G drone small cells

Content Provider	IET Digital Library
Author	Vahidi, Vahid Saberinia, Ebrahim
Abstract	A compressed sensing-based channel estimation (CE) method is proposed for doubly selective channels whilst multiple-input multiple-output (MIMO)–orthogonal frequency-division multiplexing (OFDM) system is employed. According to the simulation results, the proposed CE method, which is dubbed as the MIMO-linearising scheme performs better than the basic expansion model (BEM), which is a state-of-the-art CE method and applies frequency domain scattered pilots. Furthermore, MIMO-linearising can be utilised as an accurate procedure for estimating only the positions of non-zero channel taps in the scenarios where those positions change with a slower rate than amplitudes and phases of the channel taps. Based on that priori estimated positions (PEPs), modified versions of the linearising scheme and the BEM methods, called MIMO-linearising-PEP and BEM-PEP, respectively, are described, showing improvement on performance and spectral efficiency. In addition, by considering the physical characteristic of the vehicular channels, an alternative version of the MIMO-linearising-PEP, called MIMO-linearising-efficient, is described to reduce the computational complexity and increase the spectral efficiency further. Simulation results indicate that the proposed CE methods can measure the channel more accurately and enhance the car detection accuracy in the frames which have been used as the inputs of the communication systems.
Starting Page	3565
Ending Page	3574
Page Count	10
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 20, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.6158
Journal	IET Communications
Publisher Date	2019-10-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	5G Drone Small Cells Authors Basic Expansion Model BEM Method BEM–PEP Called MIMO-linearising-efficient Called MIMO-linearising-PEP Channel Estimation Communication Channel Equalisation And Identification Compressed Sensing-based Channel Estimation Method Computational Complexity Doubly Selective Channel Frequency Domain Analysis Frequency Domain Scattered Pilots Interpolation And Function Approximation MIMO Communication MIMO-linearising Scheme MIMO–OFDM Communication Systems Modulation And Coding Method Multiple-input Multiple-output–orthogonal Frequency-division Multiplexing System Nonzero Channel Taps Numerical Analysis OFDM Modulation Positions Change Priori Estimated Positions Radio Link And Equipment Spectral Efficiency State-of-the-art CE Method Statistics Traffic Data Transmission Vehicular Channel Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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