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Eliminating Channel Feedback in Next-Generation Cellular Networks

Authors:

Deepak Vasisht,

Hariharan Rahul,

Dina KatabiAuthors Info & Claims

SIGCOMM '16: Proceedings of the 2016 ACM SIGCOMM Conference

Pages 398 - 411

https://doi.org/10.1145/2934872.2934895

Published: 22 August 2016 Publication History

Abstract

This paper focuses on a simple, yet fundamental question: ``Can a node infer the wireless channels on one frequency band by observing the channels on a different frequency band?'' This question arises in cellular networks, where the uplink and the downlink operate on different frequencies. Addressing this question is critical for the deployment of key 5G solutions such as massive MIMO, multi-user MIMO, and distributed MIMO, which require channel state information.

We introduce R2-F2, a system that enables LTE base stations to infer the downlink channels to a client by observing the uplink channels from that client. By doing so, R2-F2 extends the concept of reciprocity to LTE cellular networks, where downlink and uplink transmissions occur on different frequency bands. It also removes a major hurdle for the deployment of 5G MIMO solutions. We have implemented R2-F2 in software radios and integrated it within the LTE OFDM physical layer. Our results show that the channels computed by R2-F2 deliver accurate MIMO beamforming (to within 0.7~dB of beamforming gains with ground truth channels) while eliminating channel feedback overhead.

References

[1]

3rd Generation Partnership Project. Evolved Universal Terrestrial Radio Access (E-UTRA), Physical Layer Procedures (Release 8), 3GPP TS 36.213, v8.8.0. Oct 2009.

[2]

3rd Generation Partnership Project. Evolved Universal Terrestrial Radio Access (E-UTRA), Multiplexing and Channel Coding (Release 8), 3GPP TS 36.212, v8.8.0. Jan 2010.

[3]

3rd Generation Partnership Project. Evolved Universal Terrestrial Radio Access (E-UTRA), Physical Channels and Modulation (Release 8), 3GPP TS 36.211, v8.9.0. Jan 2010.

[4]

O. Abari, D. Vasisht, D. Katabi, and A. Chandrakasan. Caraoke: An e-toll transponder network for smart cities. In ACM SIGCOMM, 2015.

Digital Library

[5]

I. F. Akyildiz, D. M. Gutierrez-Estevez, and E. C. Reyes. The evolution to 4g cellular systems: Lte-advanced. Physical Communication, 3(4):217–244, 2010.

Digital Library

[6]

W. U. Bajwa, J. Haupt, A. M. Sayeed, and R. Nowak. Compressed channel sensing: A new approach to estimating sparse multipath channels. Proceedings of the IEEE, 98(6):1058–1076, 2010.

[7]

A. Canavitsas, L. Mello, and M. Grivet. White space prediction technique for cognitive radio applications. In Microwave Optoelectronics Conference (IMOC), 2013 SBMO/IEEE MTT-S International, pages 1–5, Aug 2013.

[8]

W. Cao and W. Wang. A frequency-domain channel prediction algorithm in wideband wireless communication systems. In Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on, volume 4, pages 2402–2405 Vol.4, Sept 2004.

[9]

J. Choi, D. J. Love, and P. Bidigare. Downlink training techniques for fdd massive mimo systems: Open-loop and closed-loop training with memory. Selected Topics in Signal Processing, IEEE Journal of, 8(5):802–814, 2014.

[10]

R. Crepaldi, J. Lee, R. Etkin, S.-J. Lee, and R. Kravets. Csi-sf: Estimating wireless channel state using csi sampling amp; fusion. In INFOCOM, 2012 Proceedings IEEE, pages 154–162, March 2012.

[11]

P. Denisowski. Recognizing and resolving lte/catv interference issues. White Paper, Rohde and Schwarz, 2011.

[12]

L. Dong, G. Xu, and H. Ling. Prediction of fast fading mobile radio channels in wideband communication systems. In Global Telecommunications Conference, 2001. GLOBECOM'01. IEEE, volume 6, pages 3287–3291. IEEE, 2001.

[13]

A. ElNashar, M. El-saidny, and M. Sherif. Design, Deployment and Performance of 4G-LTE Networks: A Practical Approach. John Wiley & Sons, 2014.

Digital Library

[14]

R. Ghaffar and R. Knopp. Interference-aware receiver structure for multi-user mimo and lte. EURASIP Journal on Wireless Communications and Networking, 2011(1):1–17, 2011.

[15]

S. Gollakota, S. Perli, and D. Katabi. Interference alignment and cancellation. SIGCOMM, 2009.

Digital Library

[16]

M. Guillaud, D. Slock, and R. Knopp. A practical method for wireless channel reciprocity exploitation through relative calibration. ISSPA, 2005.

[17]

D. Halperin, W. Hu, A. Sheth, and D. Wetherall. Predictable 802.11 packet delivery from wireless channel measurements. ACM SIGCOMM Computer Communication Review, 41(4):159–170, 2011.

Digital Library

[18]

Y. Han, J. Ni, and G. Du. The potential approaches to achieve channel reciprocity in fdd system with frequency correction algorithms. In Communications and Networking in China (CHINACOM), 2010 5th International ICST Conference on, pages 1–5, Aug 2010.

[19]

K. Hugl, K. Kalliola, and J. Laurila. Spatial reciprocity of uplink and downlink radio channels in fdd systems. 2002.

[20]

S. Imtiaz, G. S. Dahman, F. Rusek, and F. Tufvesson. On the directional reciprocity of uplink and downlink channels in frequency division duplex systems. In IEEE Symposium on Personal Indoor and Mobile Radio Communications, 2014.

[21]

T. Innovations. Lte in a nutshell. White paper, 2010. https://home.zhaw.ch/kunr/NTM1/literatur/LTE%20in%20a%20Nutshell%20-%20Physical%20Layer.pdf.

[22]

R. Irmer, H. Droste, P. Marsch, M. Grieger, G. Fettweis, S. Brueck, H.-P. Mayer, L. Thiele, and V. Jungnickel. Coordinated multipoint: Concepts, performance, and field trial results. Communications Magazine, IEEE, 49(2):102–111, 2011.

Digital Library

[23]

J. L. Jerez, G. A. Constantinides, and E. C. Kerrigan. Fpga implementation of an interior point solver for linear model predictive control. In Field-Programmable Technology (FPT), 2010 International Conference on, pages 316–319, Dec 2010.

[24]

H. Ji, Y. Kim, J. Lee, E. Onggosanusi, Y. Nam, J. Zhang, B. Lee, and B. Shim. Overview of full-dimension mimo in lte-advanced pro. arXiv preprint arXiv:1601.00019, 2015.

[25]

F. Kaltenberger, D. Gesbert, R. Knopp, and M. Kountouris. Performance of multi-user mimo precoding with limited feedback over measured channels. In Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE, pages 1–5. IEEE, 2008.

[26]

F. Kaltenberger, H. Jiang, M. Guillaud, and R. Knopp. Relative channel reciprocity calibration in mimo/tdd systems. In Future Network and Mobile Summit, 2010, pages 1–10. IEEE, 2010.

[27]

M. Kotaru, K. Joshi, D. Bharadia, and S. Katti. Spotfi: Decimeter level localization using wifi. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, SIGCOMM '15, 2015.

Digital Library

[28]

S. Kumar, S. Gil, D. Katabi, and D. Rus. Accurate indoor localization with zero start-up cost. MobiCom, 2014.

Digital Library

[29]

S. Kumar, E. Hamed, D. Katabi, and L. E. Li. LTE Radio Analytics Made Easy and Accessible. SIGCOMM, 2014.

Digital Library

[30]

T. Kwon, Y.-G. Lim, and C.-B. Chae. Limited channel feedback for rf lens antenna based massive mimo systems. In Computing, Networking and Communications (ICNC), 2015 International Conference on, pages 6–10. IEEE, 2015.

[31]

E. Larsson, O. Edfors, F. Tufvesson, and T. Marzetta. Massive mimo for next generation wireless systems. Communications Magazine, IEEE, 52(2):186–195, 2014.

[32]

D. Lee, H. Seo, B. Clerckx, E. Hardouin, D. Mazzarese, S. Nagata, and K. Sayana. Coordinated multipoint transmission and reception in lte-advanced: deployment scenarios and operational challenges. Communications Magazine, IEEE, 50(2):148–155, 2012.

[33]

K. C.-J. Lin, S. Gollakota, and D. Katabi. Random access heterogeneous mimo networks. ACM SIGCOMM Computer Communication Review, 41(4):146–157, 2011.

Digital Library

[34]

Y.-H. Nam, M. S. Rahman, Y. Li, G. Xu, E. Onggosanusi, J. Zhang, and J.-Y. Seol. Full dimension mimo for lte-advanced and 5g. IEEE Communications Magazine, 2013.

[35]

S. Nirjon, J. Liu, G. DeJean, B. Priyantha, Y. Jin, and T. Hart. Coin-gps: Indoor localization from direct gps receiving. In Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys '14, pages 301–314, New York, NY, USA, 2014. ACM.

Digital Library

[36]

N. Palleit and T. Weber. Obtaining transmitter side channel state information in mimo fdd systems. In Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on, pages 2439–2443. IEEE, 2009.

[37]

N. Palleit and T. Weber. Channel prediction in point-to-point mimo-systems. In Wireless Communication Systems (ISWCS), 2010 7th International Symposium on, pages 91–95. IEEE, 2010.

[38]

B. Radunovic, A. Proutiere, D. Gunawardena, and P. Key. Dynamic channel, rate selection and scheduling for white spaces. In Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies, page 2. ACM, 2011.

Digital Library

[39]

H. Rahul, S. Kumar, and D. Katabi. MegaMIMO: Scaling Wireless Capacity with User Demands. In ACM SIGCOMM 2012, Helsinki, Finland, August 2012.

[40]

X. Rao and V. K. N. Lau. Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems. CoRR, abs/1405.2786, 2014.

Digital Library

[41]

M. Roetter. Spectrum for mobile broadband in the americas: Policy issues for growth and competition. 2011.

[42]

S. Sen, B. Radunovic, J. Lee, and K.-H. Kim. Cspy: Finding the best quality channel without probing. In Proceedings of the 19th annual international conference on Mobile computing & networking, pages 267–278. ACM, 2013.

Digital Library

[43]

L. Shi, P. Bahl, and D. Katabi. Beyond sensing: Multi-ghz realtime spectrum analytics. In 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15), pages 159–172, Oakland, CA, May 2015. USENIX Association.

Digital Library

[44]

T. Shuang, T. Koivisto, H.-L. Maattanen, K. Pietikainen, T. Roman, and M. Enescu. Design and evaluation of lte-advanced double codebook. In Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd, pages 1–5, May 2011.

[45]

M. S. Sim and C.-B. Chae. Compressed channel feedback for correlateci massive mimo systems. In Globecom Workshops (GC Wkshps), 2014, pages 327–332. IEEE, 2014.

[46]

S. Sun, Q. Gao, Y. Peng, Y. Wang, and L. Song. Interference management through comp in 3gpp lte-advanced networks. Wireless Communications, IEEE, 20(1):59–66, 2013.

[47]

D. Tse and P. Vishwanath. Fundamentals of Wireless Communications. Cambridge University Press, 2005.

Digital Library

[48]

D. Tse and P. Vishwanath. Fundamentals of Wireless Communications. Cambridge University Press, 2005.

Digital Library

[49]

H. Victor. Which 4G LTE bands do ATT, Verizon, T-Mobile and Sprint use in the USA? http://www.phonearena.com/news/Cheat-sheet-which-4G-LTE-bands-do-AT-T-Verizon-T-Mobile-and-Sprint-use-in-the-USA_id77933.

[50]

O. Werther and R. Minihold. Lte system specifications and their impact on rf & base band circuits. Application Note, Rohde and Schwarz, 2013.

[51]

I. C. Wong and B. L. Eva. Joint channel estimation and prediction for ofdm systems. In Global Telecommunications Conference, 2005. GLOBECOM'05. IEEE, volume 4, pages 5–pp. IEEE, 2005.

[52]

L. Wu, J. Chen, H. Yang, and D. Lu. Codebook design for lte-a downlink system. In Vehicular Technology Conference (VTC Fall), 2011 IEEE, pages 1–5, Sept 2011.

[53]

J. Xiong and K. Jamieson. Arraytrack: A fine-grained indoor location system. NSDI '13, 2013.

Digital Library

[54]

Y. Xu, G. Yue, and S. Mao. User grouping for massive mimo in fdd systems: New design methods and analysis. Access, IEEE, 2:947–959, 2014.

[55]

T. Zhang, N. Leng, and S. Banerjee. A vehicle-based measurement framework for enhancing whitespace spectrum databases. In Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, MobiCom '14, pages 17–28, New York, NY, USA, 2014. ACM.

Digital Library

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Banerjee AZhao XChhabra VSrinivasan KParthasarathy SGanesan DShi W(2024)HORCRUX: Accurate Cross Band Channel PredictionProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649343(1-15)Online publication date: 29-May-2024
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Index Terms

Eliminating Channel Feedback in Next-Generation Cellular Networks
1. Networks
  1. Network protocols
    1. Network protocol design

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Published In

cover image ACM Conferences

SIGCOMM '16: Proceedings of the 2016 ACM SIGCOMM Conference

August 2016

645 pages

ISBN:9781450341936

DOI:10.1145/2934872

General Chairs:
Marinho Barcellos
UFRGS
,
Jon Crowcroft
University of Cambridge
,
Program Chairs:
Amin Vahdat
Google
,
Sachin Katti
Stanford University

Copyright © 2016 ACM.

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 the author(s) 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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Published: 22 August 2016

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August 22 - 26, 2016

Florianopolis, Brazil

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SIGCOMM '16 Paper Acceptance Rate 39 of 231 submissions, 17%;

Overall Acceptance Rate 462 of 3,389 submissions, 14%

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https://dl.acm.org/doi/10.1145/3636534.3649348
Banerjee AZhao XChhabra VSrinivasan KParthasarathy SGanesan DShi W(2024)HORCRUX: Accurate Cross Band Channel PredictionProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649343(1-15)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3636534.3649343
Wan YLiu A(2024)A Two-Stage 2D Channel Extrapolation Scheme for TDD 5G NR SystemsIEEE Transactions on Wireless Communications10.1109/TWC.2024.335121223:8(8497-8511)Online publication date: Aug-2024
https://doi.org/10.1109/TWC.2024.3351212
Han DPark JLee N(2024)FDD Massive MIMO Without CSI FeedbackIEEE Transactions on Wireless Communications10.1109/TWC.2023.331948623:5(4518-4530)Online publication date: May-2024
https://doi.org/10.1109/TWC.2023.3319486
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