Skip to main content
Log in

Investigation on group based contention bandwidth request in LTE-A networks under high delay spread environment

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

In this paper, contention bandwidth request has been investigated for long term evolution-advanced (LTE-A) networks under extended typical urban based multipath fading channel that displays high delay spread environment. As the choice of preambles has to provide high detection probability under such environments, at the outset, this paper examines various group based preamble selection mechanisms, namely, Type I, Type II and Type III preamble sets. With suitable type of group based preamble, the challenge during contention bandwidth request is the appropriate choice of contention window during contention resolution. The contention window in this paper is chosen based on the indicators of various failure events, namely, probability of collision due to contention, probability of unavailability of bandwidth, probability of channel error and probability of improper detection of Zadoff–Chu sequences. After suggesting a scheme to account the possible failure events, an analytical model for contention-based bandwidth request has been developed for LTE-A networks. In addition, two backoff mechanisms are proposed to resolve contention among user equipment’s effectively and these mechanisms are compared to the existing techniques, namely, binary exponential backoff and uniform backoff. Further, the contention mechanism has been substantiated for varying depth of channel errors. With Type I grouping, the backoff with optimized contention window improves the efficiency by 13.95 %, reduces the access delay by 18.71 % and decreases the dropping probability by 59.33 % than the existing uniform backoff mechanism.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. GPP TS 36.101 and 36.104, Evolved universal terrestrial radio access (EUTRA); user equipment (UE) and base station (BS) radio transmission and reception. V11.0.0, 2012-09.

  2. Sesia, S., Toufik, I., & Baker, M. (2011). LTE—The UMTS long term evolution: From theory to practice (2nd ed.). London: Wiley.

    Book  Google Scholar 

  3. Yang, X., & Fapojuwo, A. O. (2013). Enhanced preamble detection for PRACH in LTE. In Proceedings of IEEE wireless communications and networking conference (WCNC) (pp. 3306–3311).

  4. Sanguinetti, L., Morelli, M., & Marchetti, L. (2013). A random access algorithm for LTE systems. Wiley Transactions on Emerging Telecommunications Technologies, 24(1), 49–58.

    Article  Google Scholar 

  5. Fan, J., Li, G. Y., Yin, Q., Peng, B., & Zhu, X. (2012). Joint user pairing and resource allocation for LTE uplink transmission. IEEE Transactions on Wireless Communications, 11(8), 2838–2847.

    Google Scholar 

  6. Yao, H., Hui, T., Cheng, Q., Lingling, X., & Jun, Z. (2012). Dynamic random access channel allocation scheme based on the pseudo-Bayesian algorithm in OFDMA system. China Communications, 9(8), 71–79.

    Google Scholar 

  7. Yang, X., Fapojuwo, A. O., & Egbogah, E. E. (2012). Performance analysis and parameter optimization of random access backoff algorithm in LTE. In Proceedings of IEEE vehicular technology conference (VTC 2012) (pp. 1–5).

  8. Tyagi, R. R., Lee, K.-D., Aurzada, F., Kim, S., & Reisslein M. (2012). Efficient delivery of frequent small data for U-healthcare applications over LTE-advanced networks. In Proceedings of 2nd ACM international workshop on pervasive wireless healthcare (pp. 27–32).

  9. Chen, F.-T., & Zhang, Z. (2012). Design and simulation of random access procedure in TD-LTE. In Proceedings of IEEE 2012 4th international conference on computational and information sciences (pp. 962–965).

  10. Huang, Y., Tian, H., Qin, C., Li, J., & Zhang, J. (2012). An adaptive backoff algorithm for OFDMA systems. In Proceedings of IEEE vehicular technology conference (VTC 2012) (pp. 1–5).

  11. Beda, C. U., Pedraza, S., Regueira, M., & Romero, J. (2012). LTE FDD physical random access channel dimensioning and planning. In Proceedings of IEEE vehicular technology conference (pp. 1–5).

  12. Pauli, V., Nisar, M. D., & Seidel, E. (2011). Reproducible LTE uplink performance analysis using precomputed interference signals. EURASIP Journal on Advances in Signal Processing, 2011(1), 1–11.

    Article  Google Scholar 

  13. Fan, J., Yin, Q., Li, G. Y., Peng, B., & Zhu, X. (2011). Adaptive block-level resource allocation in OFDMA networks. IEEE Transactions on Wireless Communications, 10(11), 3966–3972.

    Article  Google Scholar 

  14. Seo, J.-B., & Leung, V. C. M. (2011). Design and analysis of backoff algorithms for random access channels in UMTS-LTE and IEEE 802.16 systems. IEEE Transactions on Vehicular Technology, 60(8), 3975–3989.

    Article  Google Scholar 

  15. Moon, H., & Choi, S. (2011). Channel-adaptive random access for TDD-based wireless systems. IEEE Transactions on Vehicular Technology, 60(6), 2730–2741.

    Article  Google Scholar 

  16. Choi, S., Lee, W., Kim, D., Park, K.-J., Choi, S., & Han, K.-Y. (2011). Automatic configuration of random access channel parameters in LTE systems. In Proceedings of IFIP wireless days (WD) (pp. 1–6).

  17. Amirijoo, M., Frenger, P., Gunnarsson, F., Moe, J., & Zetterberg, K. (2009). Towards random access channel self-tuning in LTE. In Proceedings of IEEE 69th vehicular technology conference (VTC Spring) (pp. 1–5).

  18. Amirijoo, M., Frenger, P., Gunnarsson, F., Moe, J., Zetterberg, K. (2009). On self-optimization of the random access procedure in 3G long term evolution. In Proceedings of IEEE international symposium on integrated network management-workshops (pp. 177–184).

  19. Zhou, P., Honglin, H., Wang, H., & Chen, H.-H. (2008). An efficient random access scheme for OFDMA systems with implicit message transmission. IEEE Transactions on Wireless Communications, 7(7), 2790–2797.

    Article  Google Scholar 

  20. Amirijoo, M., Gunnarsson, F., & Andren, F. (2014). 3GPP LTE random access channel self-optimization. IEEE Transactions on Vehicular Technology, 63(6), 2784–2793.

    Article  Google Scholar 

  21. Kwan, R., & Leung, C. (2011). On collision probabilities in frequency-domain scheduling for LTE cellular networks. IEEE Communications Letters, 15(9), 965–967.

    Article  Google Scholar 

  22. Ni, Q., Ling, H., Vinel, A., Xiao, Y., & Hadjinicolaou, M. (2010). Performance analysis of contention based bandwidth request mechanisms in WiMAX networks. IEEE Systems Journal, 4(4), 477–486.

    Article  Google Scholar 

  23. Salem, M., Adinoyi, A., Rahman, M., Yanikomeroglu, H., Falconer, D., & Kim, Y.-D. (2010). Fairness-aware radio resource management in downlink OFDMA cellular relay networks. IEEE Transactions on Wireless Communications, 9(5), 1628–1639.

    Article  Google Scholar 

  24. Larmo, A., Lindström, M., Meyer, M., Pelletier, G., Torsner, J., & Wiemann, H. (2009). The LTE link-layer design. IEEE Communications Magazine, 47(4), 52–59.

    Article  Google Scholar 

  25. Wong, I. C., Oteri, O., & McCoy, W. (2009). Optimal resource allocation in uplink SC-FDMA systems. IEEE Transactions on Wireless Communications, 8(5), 2161–2165.

    Article  Google Scholar 

  26. Mansour, M. M. (2009). Optimized architecture for computing Zadoff–Chu sequences with application to LTE. In Proceedings of IEEE global telecommunications conference (pp. 1–6).

  27. Sun, L., Gao, Y., Tian, H., Xu, H., & Zhang, P. (2007). An adaptive random access protocol for OFDMA system. In Proceedings of IEEE 66th vehicular technology conference (pp. 1827–1831).

  28. Khan, A. N., Khalid, J., & Qureshi, H. K. (2013). Performance analysis of contention-based random access procedure in clustered LTE networks. In Proceedings of IEEE seventh international conference on next generation mobile apps, services and technologies (NGMAST) (pp. 203–209).

  29. Osipov, E., Riliskis, L., Eldstal-Damlin, A., Burakov, M., Nordberg, M., & Wang, M. (2013). An improved model of LTE random access channel. In Proceedings of IEEE 77th vehicular technology conference (VTC Spring) (pp. 1–5).

  30. de Figueiredo, F. A. P., Miranda, J. P. C. L., Cardoso, F. A. C. M., Lenzi, K. G., Bianco Filho, J. A., & Figueiredo, F. L. (2013). A modified CA-CFAR method For LTE random access detection. In Proceedings of IEEE 7th international conference on signal processing and communication systems (ICSPCS) (pp. 1–6).

  31. Jang, H. S., Kim, S. M., Ko, K. S., Cha, J., & Sung, D. K. (2014). Spatial group based random access for M2M communications. IEEE Communications Letters, 18(6), 961–964.

    Article  Google Scholar 

  32. Kim, J. S., Munir, D., Hasan, S. F., & Chung, M. Y. (2014). Enhancement of LTE RACH through extended random access process. Electronics Letters, 50(19), 1399–1400.

    Article  Google Scholar 

  33. de Figueiredo, F. A. P., Mathilde, F. S., Cardoso, F. A. C. M., Vilela, R. M., & Miranda, J. P. (2014). Efficient frequency domain Zadoff–Chu generator with application to LTE and LTE-A systems. In Proceedings of international telecommunications symposium (ITS) (pp. 1–5).

  34. Tang, H., Li, M., & Li, Z. (2013). Design and simulation of the contention based random access procedure in TD-LTE systems. In Proceedings of 3rd international conference on computer science and network technology (ICCSNT) (pp. 747–751).

  35. Zhang, H., Jiang, C., Beaulieu, N. C., Chu, X., Wen, X., & Tao, M. (2014). Resource allocation in spectrum-sharing OFDMA femtocells with heterogeneous services. IEEE Transactions on Communications, 62(7), 2366–2377.

    Article  Google Scholar 

  36. Zhang, H., Jiang, C., Beaulieu, N. C., Chu, X., Wang, X., & Quek, T. Q. S. (2015). Resource allocation for cognitive small cell networks: a cooperative bargaining game theoretic approach. IEEE Transactions on Wireless Communications, 14(6), 3481–3493.

    Article  Google Scholar 

  37. Zhang, H., Jiang, C., Mao, X., & Chen, H.-H. (2015) Interference-limited resource optimization in cognitive femtocells with fairness and imperfect spectrum sensing. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2015.2405538.

  38. Zhang, H., Chu, X., Guo, W., & Wang, S. (2015). Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum. IEEE Communications Magazine, 53(3), 158–164.

    Article  Google Scholar 

  39. Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18(3), 535–547.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Rajesh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rajesh, A., Nakkeeran, R. Investigation on group based contention bandwidth request in LTE-A networks under high delay spread environment. Wireless Netw 22, 1931–1945 (2016). https://doi.org/10.1007/s11276-015-1079-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-015-1079-9

Keywords

Navigation