ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Message Passing Receivers for Large-scale Multiuser Media-based Modulation

Jacob, Swaroop and Narasimhan, Lakshmi T and Chockalingam, A (2017) Message Passing Receivers for Large-scale Multiuser Media-based Modulation. In: IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), OCT 08-13, 2017, Montreal, CANADA.

[img] PDF
Ieee_PIMRC_2017.pdf - Published Version
Restricted to Registered users only

Download (241kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/PIMRC.2017.8292473


In this paper, we consider the problem of low-complexity detection and channel estimation in multiuser media-based modulation (MBM). MBM is an attractive modulation scheme which can achieve high data rates using multiple radio frequency (RF) mirrors (parasitic elements) and fewer transmit antennas/RF chains. A large-scale multiuser system with tens of users and a base station with tens to hundreds of receive antennas is considered. Each user employs MBM for transmission using one transmit antenna surrounded by multiple RF mirrors. We propose message passing based detection algorithms which provide very good bit error performance at low computational complexities. For the proposed message passing detection, we present a low-complexity channel estimation scheme exploiting the `channel hardening' phenomenon that occurs in large MIMO channels. We compare the performance of the proposed receiver algorithms with that of the minimum mean square error based receiver and compressive sensing based reconstruction algorithms, and show that the proposed algorithms are not only computationally less complex but also provide better performance in large-scale multiuser MBM systems.

Item Type: Conference Proceedings
Publisher: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information: Copy right for this article belong to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 17 Apr 2018 19:19
Last Modified: 17 Apr 2018 19:19
URI: http://eprints.iisc.ac.in/id/eprint/59621

Actions (login required)

View Item View Item