Paper Info
Title
Iterative Decoders for FTN-based NOMA Scheme to Multiplex Sporadic and Broadband Transmission.
Abstract
The concept of faster-than Nyquist transmission (FTN) is employed in [1] as a non-orthogonal multiple access scheme to multiplex a sporadic and broadband uplink transmissions so that radio resources can be efficiently shared beyond the Nyquist rate by both traffic types. A broadband user, transmitting in multiple-input multiple-output (MIMO) mode, turns off some of the transmit antennas on few subcarriers to allow sporadic traffic users to use the radio resources. Turning off some transmit antennas on a set of subcarriers from a broadband transmission marginally penalize the broadband transmission in terms of bit-error rate (BER). Frequency-domain linear minimum mean squared error (LMMSE) turbo equalization is shown to have a decent performance in terms of BER. In this paper, we investigate a belief propagation algorithm namely the generalized approximate message passing (GAMP) algorithm and its performance in the FTN-based NOMA setting. For example, we have shown that while employing GAMP-based equalization, turning-off 2 out of 8 antennas from 32 subcarriers of a 256 block length broadband transmission costs only 0.1dB transmit power per bit as compared to 0.3dB for linear MMSE-based equalizer.
Year
Venue
Field
2018
ICTC
Transmitter power output,Equalization (audio),Computer science,MIMO,Minimum mean square error,Broadband,Electronic engineering,Nyquist rate,Telecommunications link,Belief propagation
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ameha T. Abebe100.68
Chung Gu Kang230742.25