Wireless Personal Communications

, Volume 78, Issue 4, pp 1935–1951 | Cite as

SINR-Constrained Joint Scheduling and Optimal Resource Allocation in VLC Based WPAN System

  • Ratan Kumar Mondal
  • Nirzhar Saha
  • Nam-Tuan Le
  • Yeong Min Jang


A joint scheduling and optimal resource allocation scheme for wireless personal area network using visible light is proposed. In current IEEE 802.15.7 standard, multiple channel scheduling in medium access control (MAC) layer and variable data rate opportunity in physical layer (PHY) are performed separately. Therefore, the resources are not utilized effectively owing to the exclusion of channel variable characteristics during the scheduling. In this paper, the case for combining the PHY and MAC layer into a cross-layer platform is conducted for utilizing the resources efficiently. Generally in visible light communication (VLC) system, data rate of one link impacts on its neighbor link due to their high signal-to-noise ratio and this impact varies gradually according to some perspectives such as, field-of-view interaction and distance, hence allocated rate of both users could be dissipated. Moreover, the cell radius in VLC system is small compared with other small cell network and users from adjacent cells impact on transmission link which arises co-channel interference. To solve these problems, a novel joint scheduling and rate allocation (JSRA) algorithm associated with throughput maximization and channel-state has been proposed in VLC scenario. The objective of JSRA model is, each channel can determine the feasibility of its rate which always intends to increase, by exploiting the constraint value of signal-to-interference-plus-noise ratio (SINR) of that scheduled channel. The results show that the performance of joint control approach increases the total system average throughput and the spectral efficiency.


Visible light communication Scheduling Cross-layer Rate allocation WPAN SINR Spectral efficiency 



This work was supported by the IT R&D program of MKE/KEIT [10035362, Development of Home Network Technology based on LED-ID]. This work was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013057922).


  1. 1.
    Komine, T., & Nakagawa, M. (2004). Fundamental analysis for visible-light communication system using LED lights. IEEE Transactions on Consumer Electronics, 50(1), 100–107.CrossRefGoogle Scholar
  2. 2.
    Elgala, H., Mesleh, R., & Haas, H. (2009). Indoor broadcasting via white LEDs and OFDM. IEEE Transactions on Consumer Electronics, 55(3), 1127–1134.CrossRefGoogle Scholar
  3. 3.
    Tanaka, Y., Komine, T., Haruyama, S. & Nakagawa, M. (2001). Indoor visible communication utilizing plural white LEDs as lighting. In Proceedings of 2001 12th IEEE international symposium on personal, indoor and mobile radio communications, vol. 2, pp. F-81–F-85.Google Scholar
  4. 4.
    IEEE Standard. (2011). Local and Metropolitan Area Networks-Part 15.7: Short-range wireless optical communication using visible light.Google Scholar
  5. 5.
    Le, N. T., Choi, S., & Jang, Y. M. (2012). New QoS resource allocation scheme using GTS for WPANs. Wireless Personal Communications, 67(2), 25–45.CrossRefGoogle Scholar
  6. 6.
    Kim, W.-C., Bae, C.-S., Jeon, S.-Y., Pyun, S.-Y., & Cho, D.-H. (2010). Efficient resource allocation for rapid link recovery and visibility in visible-light local area networks. IEEE Transactions on Consumer Electronics, 56(2), 524–531.CrossRefGoogle Scholar
  7. 7.
    Tsiatmas, A., Baggen, C. P. M. J., Willems, F. M. J., Linnartz, J.-P. M. G., & Bergmans, J. W. M. (2014). An illumination perspective on visible light communications. IEEE Communications Magazine, 52(7), 64–71.CrossRefGoogle Scholar
  8. 8.
    Bykhovsky, D., & Arnon, S. (2014). Multiple access resource allocation in visible light communication systems. Journal of Lightwave Technology, 32(8), 1594–1600.CrossRefGoogle Scholar
  9. 9.
    Zeng, L., O’Brien, D., Minh, H., Faulkner, G., Lee, K., Jung, D., et al. (2009). High data rate multiple input multiple output (MIMO) optical wireless communications using white LED lighting. IEEE Journal on Selected Areas in Communications, 27(9), 1654–1662.CrossRefGoogle Scholar
  10. 10.
    Khalid, A. M., Cossu, G., Corsini, R., Choudhury, P., & Ciaramella, E. (2012). 1-Gb/s transmission over a phosphorescent white LED by using rate-adaptive discrete multitone modulation. IEEE Photonics Journal, 4(5), 1465–1473.CrossRefGoogle Scholar
  11. 11.
    Ghimire, B. & Haas, H. (2012). Self-organising interference coordination in optical wireless networks. EURASIP Journal on Wireless Communications and Networking, 2012(131), 1–15.Google Scholar
  12. 12.
    Eryilmaz, A., Srikant, R., & Perkins, J. R. (2005). Stable scheduling policies for fading wireless channels. IEEE/ACM Transactions on Networking, 13(1), 411–424.CrossRefGoogle Scholar
  13. 13.
    Lin, X., Shroff, N. B., & Srikant, R. (2006). A tutorial on cross-layer optimization in wireless networks. IEEE Journal on Selected Areas in Communications, 24(8), 1452–1463.CrossRefGoogle Scholar
  14. 14.
    Jose, J., & Vishwanath, S. (2011). Distributed rate allocation for wireless network. IEEE Transactions on Information Theory, 57(10), 6539–6554.MathSciNetCrossRefGoogle Scholar
  15. 15.
    Mondal, R. K., Chowdhury, M. Z., Saha, N. & Jang, Y. M. (2012). Interference-aware optical resource allocation in visible light communication. In Proceedings of 2012 International Conference on ICT Convergence (ICTC), pp. 155–158.Google Scholar
  16. 16.
    Bhargava, V., Jose, J., Srinivasan, K., & Vishwanath, S. (2012). Q-CMRA: Queue-based channel-measurement and rate-allocation. IEEE Transactions Wireless Communications, 11(11), 4214–4223.CrossRefGoogle Scholar
  17. 17.
    Al-Janabi, M., Tsimenidis, C., Sharif, B., & Goff, S. Le. (2011). Scheduling and resource allocation strategy for OFDMA systems over time-varying channels. International Journal of Wireless Information Networks, 18(3), 119–130.CrossRefGoogle Scholar
  18. 18.
    Bertsekas, D. (1996). Constrained Optimization and Lagrange Multiplier Methods (1st ed.). USA: Athena Scientific. ISBN 978-1886529045.Google Scholar
  19. 19.
    Zorba, N. & Verkoukis, C. (2010). A QoS-based dynamic queue length scheduling algorithm in multiantenna heterogenous systems. EURASIP Journal on Wireless Communications and Networking, 2010(2), 1–10.Google Scholar
  20. 20.
    Al-Harthi, Y. S., Tewfik, A. H., & Alouini, M.-S. (2007). Multiuser diversity with quantized feedback. IEEE Transactions Wireless Communications, 6(1), 330–337.CrossRefGoogle Scholar
  21. 21.
    Hwang, G., & Ishizaki, F. (2008). Design of a fair scheduler exploiting multiuser diversity with feedback information reduction. IEEE Communications Letters, 12(2), 124–126.CrossRefGoogle Scholar
  22. 22.
    Bazaraa, M. S., Jarvis, J. J., & Sherali, H. D. (2009). Linear programming and network flows (4th ed.). New Jersey: Wiley. ISBN 978-0470462720.Google Scholar
  23. 23.
    Zhao, W., Du, Y., & Zhang, X. (2012). Cross-layer power allocation for packet transmission over fading channel. Wireless Personal Communications, 65(3), 617–642.CrossRefGoogle Scholar
  24. 24.
    IEEE Standard 802.11 1999 edition (r2003). IEEE standard for information technology telecommunications and information exchange between systems-local and metropolitan area networks-specific requirements part 11: Wireless LAN medium access control (mac) and physical layer (phy) specifications.Google Scholar
  25. 25.
    IEEE Standard 802.11ac. (2013). IEEE standard for information technology telecommunications and information exchange between systems local and metropolitan area networks-specific requirements part 11: Wireless LAN medium access control (mac) and physical layer (phy) specifications-amendment 4: Enhancements for very high throughput for operation in bands below 6 GHz.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ratan Kumar Mondal
    • 1
  • Nirzhar Saha
    • 1
  • Nam-Tuan Le
    • 1
  • Yeong Min Jang
    • 1
  1. 1.Department of Electronics EngineeringKookmin UniversitySeoulRepublic of Korea

Personalised recommendations