NDLI: Computationally efficient fixed complexity LLL algorithm for lattice-reduction-aided multiple-input

Content Provider	IET Digital Library
Author	Wang, Wei Hu, Meixia Li, Yongzhao Zhang, Hailin Li, Zan
Abstract	In multiple-input–multiple-output broadcast channels, lattice reduction (LR) preprocessing technique can significantly improve the precoding performance. Among the existing LR algorithms, the fixed complexity Lenstra–Lenstra–Lovasz (fcLLL) algorithm applying limited number of LLL loops is suitable for the real-time communication system. However, fcLLL algorithm suffers from higher average complexity. Aiming at this problem, a computationally efficient fcLLL (CE-fcLLL) algorithm for LR-aided (LRA) precoding is developed in this study. First, the authors analyse the impact of fcLLL algorithm on the signal-to-noise ratio performance of LRA precoding by a power factor (PF) which is defined to measure the relation of reduced basis and transmit power of LRA precoding. Then, they propose a CE-fcLLL algorithm by designing a new LLL loop and introducing new early termination conditions to reduce redundant and inefficient LR operation in fcLLL algorithm. Finally, they define a PF loss factor to optimise the PF threshold and the number of LLL loops, which can lead to a performance-complexity tradeoff. Simulation results show that the proposed algorithm for LRA precoding can achieve better bit-error-rate performance than the fcLLL algorithm with remarkable complexity savings in the same upper complexity bound.
Starting Page	2328
Ending Page	2335
Page Count	8
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 17, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0062
Journal	IET Communications
Publisher Date	2016-11-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bit-error-rate Performance Broadcast Channel CE-fcLLL Algorithm Code Computational Complexity Computationally Efficient FcLLL Algorithm Fixed Complexity Lenstra-Lenstra-Lovasz Algorithm Lattice Reduction Preprocessing Technique LR-aided Multiple-input–multiple-output Precoding LRA Precoding MIMO Communication Multiple-input–multiple-output Broadcast Channels Performance-complexity Tradeoff PF Loss Factor PF Threshold Power Factor Precoding Radio Link And Equipment Real-time Communication System Signal-to-noise Ratio Performance
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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