Adaptive TTI bundling with self-healing scheme for 5G

doi:10.19682/j.cnki.1005-8885.2022.2007

中国邮电高校学报(英文) ›› 2022, Vol. 29 ›› Issue (1): 64-70.doi: 10.19682/j.cnki.1005-8885.2022.2007

Adaptive TTI bundling with self-healing scheme for 5G

Sun Junshuai, Zhu Xinghui, Xiao Yeqiu, Cheng Ke, Zhao Shuangrui

School of Computer Science and Technology, Xidian University, Xi’an 710071, China

收稿日期:2021-07-05 修回日期:2021-09-07 接受日期:2021-12-06 出版日期:2022-02-26 发布日期:2022-02-28
通讯作者: Corresponding author: Zhu Xinghui E-mail:xhzhu@stu.xidian.edu.cn

Adaptive TTI bundling with self-healing scheme for 5G

Sun Junshuai, Zhu Xinghui, Xiao Yeqiu, Cheng Ke, Zhao Shuangrui

School of Computer Science and Technology, Xidian University, Xi’an 710071, China

Received:2021-07-05 Revised:2021-09-07 Accepted:2021-12-06 Online:2022-02-26 Published:2022-02-28
Contact: Corresponding author: Zhu Xinghui E-mail:xhzhu@stu.xidian.edu.cn

摘要/Abstract

摘要： The flexibility of the media access control (MAC) layer has always been an important concern in the existing communication architecture. To meet the more stringent requirements under large-scale connections, the MAC layer structure needs to be optimized carefully. This paper proposes a new architecture of the MAC layer to optimize the complex communication backhaul link structure, which will increase the flexibility of the system and decrease the transmission delay. Moreover, an adaptive transmission time interval (TTI) bundling with self-healing scheme is proposed to further decrease the transmission delay and improve the quality of service (QoS). The simulation results show that the average transmission delay is greatly reduced with our proposed scheme. The bit error rate (BER) and the block error rate are also improved even if the channel changes drastically.

关键词: media access control, transmission time interval bundling, hybrid automatic repeat request

Abstract: The flexibility of the media access control (MAC) layer has always been an important concern in the existing communication architecture. To meet the more stringent requirements under large-scale connections, the MAC layer structure needs to be optimized carefully. This paper proposes a new architecture of the MAC layer to optimize the complex communication backhaul link structure, which will increase the flexibility of the system and decrease the transmission delay. Moreover, an adaptive transmission time interval (TTI) bundling with self-healing scheme is proposed to further decrease the transmission delay and improve the quality of service (QoS). The simulation results show that the average transmission delay is greatly reduced with our proposed scheme. The bit error rate (BER) and the block error rate are also improved even if the channel changes drastically.

Key words: media access control, transmission time interval bundling, hybrid automatic repeat request

中图分类号:

TN929.5

Sun Junshuai, Zhu Xinghui, Xiao Yeqiu, Cheng Ke, Zhao Shuangrui. Adaptive TTI bundling with self-healing scheme for 5G[J]. The Journal of China Universities of Posts and Telecommunications, 2022, 29(1): 64-70.

参考文献

References

[1] OSSEIRAN A, BOCCARDI F, BRAUN V, et al. Scenarios for 5G mobile and wireless communications: The vision of the METIS project. IEEE Communications Magazine, 2014, 52(5): 26 - 35.

[2] BOCCARDI F, HEATH R W, LOZANO A, et al. Five disruptive technology directions for 5G. IEEE Communications Magazine, 2014, 52(2): 74 - 80.

[3] LIEN S Y, SHIEH S L, HUANG Y M, et al. 5G new radio: Waveform, frame structure, multiple access, and initial access. IEEE Communications Magazine, 2017, 55(6): 64 - 71.

[4] YEO J, PARK S, OH J, et al. Partial retransmission scheme for HARQ enhancement in 5G wireless communications. Proceedings of the 2017 IEEE Globecom Workshops (GC Wkshps’17), 2017, Dec 4 - 8, Singapore. Piscataway, NJ, USA: IEEE, 2017: 1 - 5.

[5] JABI M, BENJILLALI M, SZCZECINSKI L, et al. Energy efficiency of adaptive HARQ. IEEE Transactions on Communications, 2016, 64(2): 818 - 831.

[6] AHMAD R A, LACAN J, ARNAL F, et al. Enhancing satellite system throughput using adaptive HARQ for delay tolerant services in mobile communications. Proceedings of the 2015 Wireless Telecommunications Symposium (WTS’15), 2015, Apr 15 - 17, New York, NY, USA. Piscataway, NJ, USA: IEEE, 2015: 1 - 7.

[7] YANG J, LIU A, ELMISHAD K, et al. Dynamic HARQ optimization for voice over LTE. Proceedings of the 2018 IEEE International Conference on Communications (ICC’18), 2018, May 24 - 28, Kansas City, MO, USA. Piscataway, NJ, USA: IEEE, 2018: 1 - 5.

[8] CABRERA E, FANG G, VESILO R. Adaptive hybrid ARQ (A-HARQ) for ultra-reliable communication in 5G. Proceedings of the IEEE 85th Vehicular Technology Conference (VTC Spring’17), 2017, Jun 4 - 7, Sydney, Australia. Piscataway, NJ, USA: IEEE, 2017: 1 - 6.

[9] 3GPP TS 36. 321. Evolved universal terrestrial radio access (EUTRA); medium access control (MAC) protocol specification, Rel-8, V8. 4. 0.

[10] 3GPP TS 36. 213. Evolved universal terrestrial radio access (EUTRA); physical layer procedures, Rel-8, V8. 5. 0.

[11] LIANG C L, XU J, GUO Q J, et al. Soft HARQ for 5G downlink. Proceedings of the 16th International Wireless Communications and Mobile Computing (IWCMC’20), 2020, Jun 15 - 19, Limassol, Cyprus. Piscataway, NJ, USA: IEEE, 2020: 1059 - 1064.

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Adaptive TTI bundling with self-healing scheme for 5G

Adaptive TTI bundling with self-healing scheme for 5G

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