Article

Low power soft-output signal detector design for wireless MIMO communication systems

Authors:

Sizhong Chen,

Tong ZhangAuthors Info & Claims

ISLPED '07: Proceedings of the 2007 international symposium on Low power electronics and design

Pages 232 - 237

https://doi.org/10.1145/1283780.1283831

Published: 27 August 2007 Publication History

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Abstract

Energy-efficient realization of soft-output signal detection is of great importance in emerging high-speed multiple-input multiple-output (MIMO) wireless communication systems. This paper presents three algorithm-level complexity-reduction techniques for soft-output detector design to achieve significant energy savings. To demonstrate their effectiveness, we designed a soft-output detector for 4-4 MIMO with 64-QAM using 65nm CMOS technology. While achieving near-optimum detection performance, the detector can support over 100Mbps throughput with only 0.24mm² silicon area and 11mw power, leading to a -10 improvement over the state of the art.

References

[1]

J. B. Anderson and S. Mohan. Sequential coding algorithms: A survey and cost analysis. IEEE Transactions on Communications, 32:169--176, Feb. 1984.

Crossref

Google Scholar

[2]

S. Baro, J. Hagenauer, and M. Witzke. Iterative detection of MIMO transmission using a list-sequential (LISS) detector. In Proc. of IEEE International Conference on Communications, pages 2653--2657, May 2003.

Crossref

Google Scholar

[3]

A. Burg, M. Borgmann, M. Wenk, M. Zellweger, W. Fichtner, and H. BÖlcskei. VLSI implementation of MIMO detection using the sphere decoding algorithm. Journal of Solid-State Circuits, 40:1566--1577, July 2005.

Crossref

Google Scholar

[4]

S. Chen, F. Sun, and T. Zhang. Nonlinear Soft-Output Signal Detector Design and Implementation for MIMO Communication Systems with High Spectral Efficiency. In IEEE Custom Integrated Circuits Conference (CICC), September 2006.

Google Scholar

[5]

M. S. et al. (ed.). Special Issues on MIMO Systems and Applications (I/II). IEEE Journal on Selected Areas in Communications, 21, April/June 2003.

Google Scholar

[6]

D. Garrett, L. Davis, S. ten Brink, B. Hochwald, and G. Knagge. Silicon complexity for maximum likelihood MIMO detection using spherical decoding. IEEE Journal of Solid-State Circuits, 39:1544--1552, Sept. 2004.

Crossref

Google Scholar

[7]

Z. Guo and P. Nilsson. Algorithm and implementation of the k-best sphere decoding for mimo detection. IEEE Journal on Selected Areas in Communication, 24:491--503, March 2006.

Digital Library

Google Scholar

[8]

B. M. Hochwald and S. ten Brink. Achieving near-capacity on a multiple-antenna channel. IEEE Transactions on Communications, 51:389--399, March 2003.

Crossref

Google Scholar

[9]

P. W. Wolniansky, G. J. Foschini, G. D. Golden, and R. A. Valenzuela. V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Proc. of URSI ISSSE, pages 295--300, 1998.

Crossref

Google Scholar

[10]

K.-W. Wong, C.-Y. Tsui, R. S. Cheng, and W.-H. Mow. A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels. In IEEE International Symposium on Circuits and Systems, pages III-273--III-276, May 2002.

Google Scholar

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Parks ALiu AGollakota SSmith J(2014)Turbocharging ambient backscatter communicationACM SIGCOMM Computer Communication Review10.1145/2740070.262631244:4(619-630)Online publication date: 17-Aug-2014
https://dl.acm.org/doi/10.1145/2740070.2626312
Parks ALiu AGollakota SSmith JBustamante FHu YKrishnamurthy ARatnasamy S(2014)Turbocharging ambient backscatter communicationProceedings of the 2014 ACM conference on SIGCOMM10.1145/2619239.2626312(619-630)Online publication date: 17-Aug-2014
https://dl.acm.org/doi/10.1145/2619239.2626312
Hwang YChen Y(2013)Design and implementation of a high throughput soft output MIMO detectorSiPS 2013 Proceedings10.1109/SiPS.2013.6674492(124-129)Online publication date: Oct-2013
https://doi.org/10.1109/SiPS.2013.6674492
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Index Terms

Low power soft-output signal detector design for wireless MIMO communication systems
1. Hardware
  1. Communication hardware, interfaces and storage

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Information & Contributors

Information

Published In

ISLPED '07: Proceedings of the 2007 international symposium on Low power electronics and design

August 2007

432 pages

ISBN:9781595937094

DOI:10.1145/1283780

General Chairs:
Diana Marculescu
Carnegie Mellon University
,
Anand Raghunathan
NEC Laboratories America
,
Program Chairs:
Ali Keshavarzi
Intel Corporation
,
Vijaykrishnan Narayanan
Penn State University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2007

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ISLPED07

Sponsor:

ISLPED07: International Symposium on Low Power Electronics and Design

August 27 - 29, 2007

OR, Portland, USA

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Cited By

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Parks ALiu AGollakota SSmith J(2014)Turbocharging ambient backscatter communicationACM SIGCOMM Computer Communication Review10.1145/2740070.262631244:4(619-630)Online publication date: 17-Aug-2014
https://dl.acm.org/doi/10.1145/2740070.2626312
Parks ALiu AGollakota SSmith JBustamante FHu YKrishnamurthy ARatnasamy S(2014)Turbocharging ambient backscatter communicationProceedings of the 2014 ACM conference on SIGCOMM10.1145/2619239.2626312(619-630)Online publication date: 17-Aug-2014
https://dl.acm.org/doi/10.1145/2619239.2626312
Hwang YChen Y(2013)Design and implementation of a high throughput soft output MIMO detectorSiPS 2013 Proceedings10.1109/SiPS.2013.6674492(124-129)Online publication date: Oct-2013
https://doi.org/10.1109/SiPS.2013.6674492
Zhen XZhou XHuai LSobelman G(2013)A novel fixed-complexity soft-output MIMO detector using parallel bidirectional scheme2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013)10.1109/ICSPCC.2013.6664024(1-4)Online publication date: Aug-2013
https://doi.org/10.1109/ICSPCC.2013.6664024
Jieqiong Cheng Junsong Zheng Xiaofang Zhou Linshan Zhang (2013)Implementation of a configurable MIMO detector with complex K-best algorithm2013 IEEE 10th International Conference on ASIC10.1109/ASICON.2013.6811830(1-4)Online publication date: Oct-2013
https://doi.org/10.1109/ASICON.2013.6811830
Gimmler-Dumont CKienle FWu BMasera G(2012)A system view on iterative MIMO detectionVLSI Design10.1155/2012/8263502012(2-2)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1155/2012/826350
Shabany MGulak P(2012)A 675 Mbps, 4 $\times$ 4 64-QAM K-Best MIMO Detector in 0.13 $\mu{\rm m}$ CMOSIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2010.209036720:1(135-147)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1109/TVLSI.2010.2090367
Radosavljevic PKim KShen HCavallaro J(2012)Parallel Searching-Based Sphere Detector for MIMO Downlink OFDM SystemsIEEE Transactions on Signal Processing10.1109/TSP.2012.219059560:6(3240-3252)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1109/TSP.2012.2190595
Cervantes-Lozano PGonzalez-Perez LGarcia-Garcia A(2012)A VLSI architecture for the K-best Sphere-Decoder in MIMO systems2012 International Conference on Reconfigurable Computing and FPGAs10.1109/ReConFig.2012.6416791(1-6)Online publication date: Dec-2012
https://doi.org/10.1109/ReConFig.2012.6416791
Syu-Siang Long Hsuan-Kuei Huang Chin-Kuo Jao Muh-Tian Shiue (2012)Design of antenna-configurable MIMO detector with high speed sorting architectures2012 12th International Conference on ITS Telecommunications10.1109/ITST.2012.6425302(843-847)Online publication date: Nov-2012
https://doi.org/10.1109/ITST.2012.6425302
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