Limited Feedback Designs for Machine-Type Communications Exploiting User Cooperation

Multiuser multiple-input-multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks. One of the key challenges of the MTC networks is to obtain accurate channel state information (CSI) at the access point (AP) so that the s...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.95154-95169
Main Authors: Song, Jiho, Lee, Byungju, Noh, Song, Lee, Jong-Ho
Format: Article
Language:English
Subjects:
Adaptive algorithms
Cooperation
Deactivation
Density
Diversity methods
Feedback
Frequency division duplexing
Gold
Limited feedback
machine type communications
massive connectivity
MIMO (control systems)
MIMO communication
multiuser diversity
Network latency
Quantization (signal)
Receiving antennas
user cooperation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Multiuser multiple-input-multiple-output (MIMO) systems are a prime candidate for use in massive connection density in machine-type communication (MTC) networks. One of the key challenges of the MTC networks is to obtain accurate channel state information (CSI) at the access point (AP) so that the spectral efficiency can be improved by enabling the enhanced MIMO techniques. However, current communication mechanisms relying upon the frequency-division duplexing (FDD) might not fully support an enormous number of devices due to the rate-constrained limited feedback and the time-consuming scheduling architectures. In this paper, we propose a user cooperation-based limited feedback strategy to support high connection density in massive MTC networks. In the proposed algorithm, two close-in users share the quantized version of channel information in order to improve channel feedback accuracy. The cooperation process is performed without any transmitter interventions (i.e., in a grant-free manner) to satisfy the low-latency requirement that is vital for the MTC services. Moreover, based on the sum-rate throughput analysis, we develop an adaptive cooperation algorithm with a view to activating/deactivating the user cooperation mode according to channel and network conditions.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2928633