Advertisement

Resource Allocation at MAC to Provide QoS for Cognitive Radio Networks

  • Kalpana Naidu
  • Meenakshi Tripathi
  • Ramesh Babu Battula
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 472)

Abstract

Cognitive radio (CR) improves spectrum efficiency by using the sub-carriers that are unused by the primary users. Because of doppler shift, secondary user (SU) sub-carriers create interference to the primary user (PU) sub-carriers. The aim is to choose the sub-carriers for SU and also allot powers to the chosen sub-carriers in order to minimize the transmission delay. At the same time, SU transmitter has to conserve its battery power, and the interference induced to the PU should be within the endurable limits. Sub-carrier allocation and power allocation are done using the sub-gradient iterative algorithm. Simulation results indicate that as the number of sub-carriers assigned to the SU increases, transmission delay is reduced.

Keywords

Cognitive radio Delay Latency MAC Resource allocation OFDM 

References

  1. 1.
    Naidu K, Khan MZA, Desai UB et al (2014) A study on white and gray spaces in India. In: Mishra AK, Johnson DF (eds) White space communication: advances, developments and engineering challenges, pp 49–73Google Scholar
  2. 2.
    Naidu K, Khan MZA (2016) A fast algorithm for solving cave-filling problems. In: Proceedings of IEEE 84th vehicular technology conference: VTC 2016-Fall, Montreal, Canada, 18–21 Sep 2016Google Scholar
  3. 3.
    Naidu K, Khan MZA, Hanzo L (2016) An efficient direct solution of cave-filling problems. IEEE Trans Commun 64(7):3064–3077CrossRefGoogle Scholar
  4. 4.
    Kalpana N, Khan MZA, Desai UB (2011) Optimal Power allocation for secondary users in CR networks. In: Proceedings of IEEE ANTS 2011, Bangalore, India, Dec 2011Google Scholar
  5. 5.
    Naidu K (2016) Fast computation of waterfilling algorithms. https://www.raiith.iith.ac.in/2604/
  6. 6.
    Naidu K (2015) Fast computation of generalized water-filling problems. IEEE Signal Process Lett 22(11):1884–1887Google Scholar
  7. 7.
    Naidu K, Kumar R, Vikas V (2017) The fastest possible solution to the weighted water-filling problems. In: Proceedings of 7th IEEE IACC-2017, Hyderabad, India, 5–7 Jan 2017Google Scholar
  8. 8.
    Naidu K, Battula RB (2016) Quick resource allocation in heterogeneous networks. In: Communicated to ‘Wireless Networks’, Springer Journal, submission id: WINE-D-16-01202, Dec 2016Google Scholar
  9. 9.
    Kalpana N, Khan MZA (2015) Weighted water-filling algorithm with reduced computational complexity. In: Proceedings of ICCIT Conference 2015, May 2015Google Scholar
  10. 10.
    Wikimedia (2011) Latency (engineering). https://www.en.wikipedia.org/wiki/Latency_(engineering)
  11. 11.
    Yu FR, Sun B, Krishnamurthy V, Ali S (2011) Application layer qos optimization for multimedia transmission over cognitive radio networks. Wireless networks. Springer, vol 17, p 371383, Feb 2011CrossRefGoogle Scholar
  12. 12.
    Ramli HAM, Sandrasegaran K, Basukala R, Patachaianand R, Xue M, Lin CC (2010) Resource allocation technique for video streaming applications in the lte system. In: Proceedings of wireless and optical communications conference (WOCC), 2010 19th Annual, May 2010, pp 1–5Google Scholar
  13. 13.
    Musavian L, Assa S, Lambotharan S (2010) Effective capacity for interference and delay constrained cognitive radio relay channels. IEEE Trans Wirel Commun 9(5):1698–1707CrossRefGoogle Scholar
  14. 14.
    Mahmoud HA, Yucek T, Arslan H (2009) OFDM for Cognitive radio: merits and challenges. IEEE Trans Wirel Commun 16(2):6–15CrossRefGoogle Scholar
  15. 15.
    Thumar V, Tej GPS, Nadkar T, Merchant SN, Desai UB (2010) Adaptive Power allocation for secondary users in Cognitive Radio Networks. In: Proceedings of 2010 second UK-India-IDRC international workshop on cognitive wireless systems (UKIWCWS 2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Kalpana Naidu
    • 1
  • Meenakshi Tripathi
    • 2
  • Ramesh Babu Battula
    • 2
  1. 1.Department of ECEIndian Institute of Information Technology-KotaKotaIndia
  2. 2.Department of CSEMalaviya National Institute of TechnologyJaipurIndia

Personalised recommendations