Skip to main content

Software Radio Architecture: A Mathematical Perspective

  • Chapter
  • First Online:
Book cover Intelligent Spectrum Handovers in Cognitive Radio Networks

Abstract

The Software Radio Architecture (SRA) signifies the advanced technological aspect in the communication industry, which has been enhanced to anticipate transitions in the issues of compatibility protocols and standards. With the evaluation of the Software Defined Radio (SDR), it is fundamental that hardware speculation due to transition in these protocols is diminished to achieve user-friendly communication service expenditure. The evaluation of incontestable properties necessitates a mathematical perspective related to the architecture of software radio. This contribution concentrates at the software radio architecture, applying mathematical frameworks, which signify the rapidly emergent technological initiatives. The article introduces the fundamental conceptions of software radio and illustrates the relevant similar technological aspects such as the programmable digital radio. Software radios are significant in delivering services that are programmable and processed dynamically, including its definition and capacity of a mathematical Turing machine structure. The bordered recursive features which are a collection of the overall recursive feature appear to the extreme category of the Turing and computable features exhibited by the provable software radio capability relative to pay and plug scenarios. Acknowledging the relevant topological features of software radio architecture facilitates the enhancement of the play and plug functions, which are cost-friendly to re-apply.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mitola, J.: Software radio architecture: a mathematical perspective. IEEE J. Select. Areas Commun. 17(4), 514–538 (1999)

    Article  Google Scholar 

  2. Ozone, M., Hiramatsu, T., Hirase, K., Iizuka, K., Tomisawa, S.: Reconfigurable processor based on ALU array architecture for software radio. Int. J. High Perform. Syst. Archit. 3(1), 33 (2011)

    Article  Google Scholar 

  3. Anandakumar, H., Umamaheswari, K.: Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers. Clust. Comput. 20(2), 1505–1515 (2017)

    Article  Google Scholar 

  4. Haldorai, A., Ramu, A.: Cognitive social mining applications in data analytics and forensics. In: Advances in Social Networking and Online Communities (2019)

    Google Scholar 

  5. Anandakumar, H., Umamaheswari, K.: Energy efficient network selection using 802.16g based GSM technology. J. Comput. Sci. 10(5), 745–754 (2014)

    Article  Google Scholar 

  6. Li, S., Singhoff, F., Rubini, S., Bourdellès, M.: Scheduling analysis of tasks constrained by TDMA: application to software radio protocols. J. Syst. Archit. 76, 58–75 (2017)

    Article  Google Scholar 

  7. Mitola, J.: The software radio architecture. IEEE Commun. Mag. 33(5), 26–38 (1995)

    Article  Google Scholar 

  8. Zhang, L.: Software architecture evaluation. J. Softw. 19(6), 1328–1339 (2008)

    Article  Google Scholar 

  9. Lingaiah, D.: Software radio: a modern approach to radio engineering [book review]. IEEE Softw. 20(4), 86–95 (2003)

    Article  Google Scholar 

  10. Li, R., Dou, Y., Zhou, J., Deng, L., Wang, S.: CuSora: real-time software radio using multi-core graphics processing unit. J. Syst. Archit. 60(3), 280–292 (2014)

    Article  Google Scholar 

  11. Anandakumar, H., Arulmurugan, R., Onn, C.C.: Computational intelligence and sustainable systems. In: EAI/Springer Innovations in Communication and Computing (2019)

    Google Scholar 

  12. Arteaga, A.: Architecture of a spectrum monitoring system using software-defined radio. Sistemas y Telemática. 10(23), 83 (2012)

    Article  Google Scholar 

  13. Kalyanaraman, S., braasch, M.: GPS adaptive array phase compensation using software radio architecture. Navigation. 57(1), 53–68 (2010)

    Article  Google Scholar 

  14. Anandakumar, H., Umamaheswari, K.: Cooperative spectrum handovers in cognitive radio networks. In: EAI/Springer Innovations in Communication and Computing, pp. 47–63 (2018)

    Google Scholar 

  15. Anandakumar, H., Umamaheswari, K.: A bio-inspired swarm intelligence technique for social aware cognitive radio handovers. Comput. Electr. Eng. 71, 925–937 (2018)

    Article  Google Scholar 

  16. Sahukar, L., Madhavi, L.: Frequency domain based digital down conversion architecture for software defined radio and cognitive radio. Int. J. Eng. Technol. 7(216), 88 (2018)

    Article  Google Scholar 

  17. Qing, L., Kai, C., Ying-yong, L.: FPGA software architecture for software defined radio. Proc. Eng. 29, 2133–2139 (2012)

    Article  Google Scholar 

  18. Savic, D., Pavlovic, B., Sunjevaric, M.: Software: based radio architecture. Vojnotehnicki glasnik. 48(1), 48–54 (2000)

    Article  Google Scholar 

  19. Subramanian, N.: Software architecture interference—an important non-functional requirement for software ecosystems. Int. J. Softw. Archit. 1(1), 15–16 (2010)

    Article  Google Scholar 

  20. Suganya, M., Anandakumar, H.: Handover based spectrum allocation in cognitive radio networks. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, pp. 215–219 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Haldorai, A., Kandaswamy, U. (2019). Software Radio Architecture: A Mathematical Perspective. In: Intelligent Spectrum Handovers in Cognitive Radio Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-15416-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15416-5_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15415-8

  • Online ISBN: 978-3-030-15416-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics