A Low Complexity and Bandwidth Efficient Procedure for OFDM Data Reconstruction in DSC 5G Networks

Document Type

Conference Proceeding

Publication Date

3-19-2018

Publication Title

Consumer Communications & Networking Conference (CCNC), 2018 15th IEEE Annual

First page number:

1

Last page number:

4

Abstract

In this paper, a procedure is proposed to estimate the drone-small-cells (DSC) doubly selective channels, which are sparse in 5G communications, for multiple-input-multiple-output (MIMO) orthogonal-frequency-division-multiplexing (OFDM) systems and reconstruct the transmitted data at the receiver accurately with low overhead and low computational complexity. In contrast to the previous compressed-sensing (CS)-based MIMO channel estimation (CE) methods, we propose the employment of Golden sequences instead of Bernoulli random codes to optimize the pilot amplitudes and their locations in order to increase the accuracy of the CE approach. The estimated channel is utilized for our proposed 2 dimensional (2D) adaptive channel coding procedure which consists of a Reed-Solomon (RS) code that is applied vertically, and a low-density-parity-check (LDPC) code which is applied horizontally on the transmitted data. The simulation results indicate the high accuracy of our proposed data reconstruction scheme which is achieved with low overhead and low computational complexity.

Keywords

Drone-Small-Cell (DSC); Channel estimation; OFDM; MIMO; Compressed-sensing; Channel coding

Disciplines

Electrical and Computer Engineering

Language

English

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