Next Article in Journal
Scaling Floating-Gate Devices Predicting Behavior for Programmable and Configurable Circuits and Systems
Previous Article in Journal
A Design and Theoretical Analysis of a 145 mV to 1.2 V Single-Ended Level Converter Circuit for Ultra-Low Power Low Voltage ICs
Article Menu

Export Article

Open AccessArticle
J. Low Power Electron. Appl. 2016, 6(3), 12; doi:10.3390/jlpea6030012

Energy-Efficient Hardware Implementation of an LR-Aided K-Best MIMO Decoder for 5G Networks

ECS, University of Southampton, Southampton SO17 1BJ, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Alexander Fish
Received: 3 May 2016 / Revised: 20 June 2016 / Accepted: 11 July 2016 / Published: 14 July 2016
View Full-Text   |   Download PDF [1609 KB, uploaded 14 July 2016]   |  

Abstract

Energy efficiency is a primary design goal for future green wireless communication technologies. Multiple-input multiple-output (MIMO) schemes have been proposed in the literature to improve the throughput of communication systems, and they are expected to play a prominent role in the upcoming fifth generation (5G) standard. This paper presents a novel, high-efficiency MIMO decoder based on the K-Best algorithm with lattice reduction. We have designed a novel hardware architecture for this decoder, which was implemented using 32 nm standard CMOS technology. Our results show that the proposed decoder can achieve on average a four-fold reduction in the power costs compared to recently published designs for 5G networks. The throughput of the design is 506 Mbits/s, which is comparable to existing designs. View Full-Text
Keywords: Sphere Decoding (SD); Lattice Reduction; K-Best Algorithm; MIMO; Green Communication; Low Power; VLSI; Hardware Design Sphere Decoding (SD); Lattice Reduction; K-Best Algorithm; MIMO; Green Communication; Low Power; VLSI; Hardware Design
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Halak, B.; El-Hajjar, M.; Toma, O.H.; Cheng, Z. Energy-Efficient Hardware Implementation of an LR-Aided K-Best MIMO Decoder for 5G Networks. J. Low Power Electron. Appl. 2016, 6, 12.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Low Power Electron. Appl. EISSN 2079-9268 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top