Successive interference cancellation aided sphere decoder for multi-input multi-output systems

LI Alex LI; Rodrigo C. de Lamare; Alister G. Burr

doi:10.1186/s13638-016-0555-y

Successive interference cancellation aided sphere decoder for multi-input multi-output systems

LI Alex LI^*, Rodrigo C. de Lamare, Alister G. Burr

^*Corresponding author for this work

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing in multi-input multi-output (MIMO) systems. Both algorithms are based on the complex tree structure to reduce the complexity of searching the unique minimum Euclidean distance and multiple Euclidean distances, and obtain the corresponding transmit symbol vectors. The novel complex hard sphere decoder for MIMO detection is presented first, and then the soft processing of a novel sphere decoding algorithm for list generation is discussed. The performance and complexity of the proposed techniques are demonstrated via simulations in terms of bit error rate (BER), the number of nodes accessed and floating-point operations (FLOPS).

Original language	English
Article number	51
Pages (from-to)	1-16
Number of pages	16
Journal	EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Volume	2016
Issue number	1
Early online date	16 Feb 2016
DOIs	https://doi.org/10.1186/s13638-016-0555-y
Publication status	Published - 1 Dec 2016

Bibliographical note

Keywords

Complex sphere decoder (CSD)
Detection algorithms
Multi-input multi-output (MIMO)
QR decomposition

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10.1186/s13638-016-0555-y

art%3A10.1186%2Fs13638-016-0555-y
© 2016, LI et al.
Final published version, 901 KBLicence: CC BY

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AU - Burr, Alister G.

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N2 - In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing in multi-input multi-output (MIMO) systems. Both algorithms are based on the complex tree structure to reduce the complexity of searching the unique minimum Euclidean distance and multiple Euclidean distances, and obtain the corresponding transmit symbol vectors. The novel complex hard sphere decoder for MIMO detection is presented first, and then the soft processing of a novel sphere decoding algorithm for list generation is discussed. The performance and complexity of the proposed techniques are demonstrated via simulations in terms of bit error rate (BER), the number of nodes accessed and floating-point operations (FLOPS).

AB - In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing in multi-input multi-output (MIMO) systems. Both algorithms are based on the complex tree structure to reduce the complexity of searching the unique minimum Euclidean distance and multiple Euclidean distances, and obtain the corresponding transmit symbol vectors. The novel complex hard sphere decoder for MIMO detection is presented first, and then the soft processing of a novel sphere decoding algorithm for list generation is discussed. The performance and complexity of the proposed techniques are demonstrated via simulations in terms of bit error rate (BER), the number of nodes accessed and floating-point operations (FLOPS).

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KW - Detection algorithms

KW - Multi-input multi-output (MIMO)

KW - QR decomposition

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Successive interference cancellation aided sphere decoder for multi-input multi-output systems

Abstract

Bibliographical note

Keywords

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