skip to main content
10.1145/2627788.2627793acmconferencesArticle/Chapter ViewAbstractPublication PagescommConference Proceedingsconference-collections
research-article
Open Access

Implementing TD-LTE as software defined radio in general purpose processor

Published:18 August 2014Publication History

ABSTRACT

Cloud radio access networks use servers that are connected to Remote Radio Heads (RRH). Base station (BS) implementation with this concept is challenging. The strict real-time nature of baseband (BB) processing seems to rule out usage of General Purpose Processors (GPP) with non-real time Operating Systems (OS). In this paper, we propose a BS architecture where most of the real-time processing is confined into a Virtual Hardware Enhancement Layer (VHEL). VHEL hides the hardware non-idealities from the software and vice versa. Possible errors due to the non-real-time OS and RRH appear as channel errors, which makes software development easier. We demonstrate the benefits of our architecture by implementing a Time-Division LTE system (TD-LTE) in C++ and running it as a user process in an Intel i7 class PC. Over-the-air transmissions are realized using USRPs. We report the performance of the implemented platform. We observe that with the given VHEL the transmitter and receiver never lose synchronization. Also the PC tends to be quick enough to feed the data; and the loss rate of subframes due to the non-real-time nature of the platform is relatively low. The proposed platform provides the possibility to implement TD-LTE on GPPs and virtual machines.

References

  1. 3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding. TS 36.212, 3rd Generation Partnership Project (3GPP), Sept. 2008.Google ScholarGoogle Scholar
  2. 3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation. TS 36.211, 3rd Generation Partnership Project (3GPP), Sept. 2008.Google ScholarGoogle Scholar
  3. 3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures. TS 36.213, 3rd Generation Partnership Project (3GPP), Sept. 2008.Google ScholarGoogle Scholar
  4. Amarisoft. Amarisoft website. http://www.amarisoft.com/, 2014.Google ScholarGoogle Scholar
  5. ASGARD. ASGARD website. http://blog.asgard.lab.es.aau.dk/, 2014.Google ScholarGoogle Scholar
  6. J. Ellsberger, A. Sarma, and D. Hogrefe. SDL: formal object-oriented language for communicating systems. Prentice Hall, Harlow, UK, New York, Paris, 1997.Google ScholarGoogle Scholar
  7. Eurecom. Open Air Interface website. http://www.openairinterface.org/, 2014.Google ScholarGoogle Scholar
  8. GNURadio. GNURadio website. http://gnuradio.org/redmine/, 2014.Google ScholarGoogle Scholar
  9. H. Guan, T. Kolding, and P. Merz. Discovery of cloud-ran. In Cloud-RAN Workshop 2010, 2010.Google ScholarGoogle Scholar
  10. A. Gudipati, D. Perry, L. E. Li, and S. Katti. SoftRAN: Software Defined Radio Access Network. In Proceedings of the Second ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, HotSDN '13, pages 25--30, New York, NY, USA, 2013. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. V. Inc. VANU website. http://www.vanu.com/, 2014.Google ScholarGoogle Scholar
  12. J. Malsbury. Modular, open-source software transceiver for PHY/MAC research. In Proceedings of the Second Workshop on Software Radio Implementation Forum, SRIF '13, pages 31--36, New York, NY, USA, 2013. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. OpenBTS. OpenBTS website. http://openbts.org/, 2014.Google ScholarGoogle Scholar
  14. OpenLTE. OpenLTE website. http://openlte.sourceforge.net/, 2014.Google ScholarGoogle Scholar
  15. D. Sabella, P. Rost, Y. Sheng, E. Pateromichelakis, U. Salim, P. Guitton-Ouhamou, M. Di Girolamo, and G. Giuliani. RAN as a service: Challenges of designing a flexible RAN architecture in a cloud-based heterogeneous mobile network. In Future Network and Mobile Summit (FutureNetworkSummit), 2013, pages 1--8, July 2013.Google ScholarGoogle Scholar
  16. P. Sutton, J. Lotze, H. Lahlou, S. Fahmy, K. Nolan, B. Ozgul, T. Rondeau, J. Noguera, and L. Doyle. Iris: an architecture for cognitive radio networking testbeds. Communications Magazine, IEEE, 48(9):114--122, Sept 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. X. Tao, Y. Hou, H. He, K. Wang, and Y. Xu. GPP-based soft base station designing and optimization (invited paper). In Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on, pages 49--53, Aug 2012.Google ScholarGoogle Scholar
  18. D. L. Tennenhouse and V. G. Bose. The SpectrumWare approach to wireless signal processing. Wireless Network Journal, 2, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. X. Zhang, J. Ansari, G. Yang, and P. Mahonen. TRUMP: Supporting efficient realization of protocols for cognitive radio networks. In New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on, pages 476--487, May 2011.Google ScholarGoogle ScholarCross RefCross Ref
  20. Z. Zhu, P. Gupta, Q. Wang, S. Kalyanaraman, Y. Lin, H. Franke, and S. Sarangi. Virtual Base Station pool: Towards a wireless network cloud for radio access networks. In Proceedings of the 8th ACM International Conference on Computing Frontiers, CF '11, pages 34:1--34:10, New York, NY, USA, 2011. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Implementing TD-LTE as software defined radio in general purpose processor

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SRIF '14: Proceedings of the 2014 ACM workshop on Software radio implementation forum
        August 2014
        100 pages
        ISBN:9781450329958
        DOI:10.1145/2627788

        Copyright © 2014 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 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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 18 August 2014

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        SRIF '14 Paper Acceptance Rate10of18submissions,56%Overall Acceptance Rate23of41submissions,56%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader