Optimization and Design of Beamforming for Cellular Internet-of-Things with Energy Efficiency Maximization in Short Packet Domain

LI Shidang; WEI Mingsheng; ZHAO Juan; LIU Jiayue; TANG Shoufeng

doi:10.11999/JEIT220390

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3075-3082

LI Shidang, WEI Mingsheng, ZHAO Juan, LIU Jiayue, TANG Shoufeng. Optimization and Design of Beamforming for Cellular Internet-of-Things with Energy Efficiency Maximization in Short Packet Domain[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3075-3082. doi: 10.11999/JEIT220390

Citation:

LI Shidang, WEI Mingsheng, ZHAO Juan, LIU Jiayue, TANG Shoufeng. Optimization and Design of Beamforming for Cellular Internet-of-Things with Energy Efficiency Maximization in Short Packet Domain[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3075-3082. doi: 10.11999/JEIT220390

Citation:

LI Shidang, WEI Mingsheng, ZHAO Juan, LIU Jiayue, TANG Shoufeng. Optimization and Design of Beamforming for Cellular Internet-of-Things with Energy Efficiency Maximization in Short Packet Domain[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3075-3082. doi: 10.11999/JEIT220390

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Optimization and Design of Beamforming for Cellular Internet-of-Things with Energy Efficiency Maximization in Short Packet Domain

doi: 10.11999/JEIT220390 cstr: 32379.14.JEIT220390

1.
School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China
2.
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
3.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China

Funds: The National Natural Science Foundation of China (62171119), The National Key R&D Program of China (2017YFF0205500), The Key Research and Development Plan of Xuzhou (KC20027, KC18079)

Received Date: 2022-04-02
Rev Recd Date: 2022-07-25

Available Online: 2022-07-31

Publish Date: 2022-09-19

Abstract

Abstract

In order to meet the requirements of ultra-high reliability and ultra-low latency in future cellular Internet-of-Things (IoT), an algorithm for such networks, which ensures the fairness-aware energy efficiency maximization in short packet domain, is developed. Firstly, a nonlinear fractional programming resource allocation model, which optimize the beamforming vector, is constructed with several constraints such as minimum user transmission rate and maximum power of per transmitter. Subsequently, the original non-convex optimization problem is transformed into a standard convex problem by exploiting the variable substitution and continuous convex approximation. Furthermore, an iterative energy efficiency optimization algorithm is developed in short packet regime. Finally, the numerical simulation results verify that the proposed algorithm has good energy efficiency performance in the short packet domain.
- Cellular Internet of Things (IoT),
- Ultra-high reliability,
- Ultra-low latency,
- Fairness-aware energy efficiency,
- Short packet domain

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References(16)

References

[1]	丰雷, 谢坤宜, 朱亮, 等. 面向电网业务质量保障的5G高可靠低时延通信资源调度方法[J]. 电子与信息学报, 2021, 43(12): 3418–3426. doi: 10.11999/JEIT210509 FENG Lei, XIE Kunyi, ZHU Liang, et al. 5G ultra-reliable and low latency communication resource scheduling for power business quality assurance[J]. Journal of Electronics &Information Technology, 2021, 43(12): 3418–3426. doi: 10.11999/JEIT210509
[2]	FENG Chen and WANG Huiming. Secure short-packet communications at the physical layer for 5G and beyond[J]. IEEE Communications Standards Magazine, 2021, 5(3): 96–102. doi: 10.1109/MCOMSTD.121.2100028
[3]	许方敏, 伍丽娇, 王翔, 等. 5G上行链路中基于预测的紧急资源分配方法研究[J]. 电子与信息学报, 2022, 44(2): 611–619. doi: 10.11999/JEIT201050 XU Fangmin, WU Lijiao, WANG Xiang, et al. Research on prediction based emergency resource allocation in 5G uplink[J]. Journal of Electronics &Information Technology, 2022, 44(2): 611–619. doi: 10.11999/JEIT201050
[4]	ZHANG Qianqian, LIANG P P, HUANG Yudi, et al. Label-assisted transmission for short packet communications: A machine learning approach[J]. IEEE Transactions on Vehicular Technology, 2018, 67(9): 8846–8859. doi: 10.1109/TVT.2018.2851619
[5]	SINGH K, BISWAS S, KU Menglin, et al. Transceiver design and power control for full-duplex ultra-reliable low-latency communication systems[J]. IEEE Transactions on Wireless Communications, 2022, 21(2): 1392–1406. doi: 10.1109/TWC.2021.3103861
[6]	胡锦松, 吴林梅, 束锋, 等. 无人机中继协助的有限码长隐蔽通信[J]. 电子与信息学报, 2022, 44(3): 1006–1013. doi: 10.11999/JEIT211372 HU Jinsong, WU Linmei, SHU Feng, et al. UAV-relay assisted covert communication with finite block-length[J]. Journal of Electronics &Information Technology, 2022, 44(3): 1006–1013. doi: 10.11999/JEIT211372
[7]	SHIRVANIMOGHADDAM M, MOHAMMADI M S, ABBAS R, et al. Short block-length codes for ultra-reliable low latency communications[J]. IEEE Communications Magazine, 2019, 57(2): 130–137. doi: 10.1109/MCOM.2018.1800181
[8]	POLYANSKIY Y, POOR H V, and VERDU S. Channel coding rate in the finite blocklength regime[J]. IEEE Transactions on Information Theory, 2010, 56(5): 2307–2359. doi: 10.1109/TIT.2010.2043769
[9]	HU Yulin, OZMEN M, and GURSOY M C. Optimal power allocation for QoS-constrained downlink multi-user networks in the finite blocklength regime[J]. IEEE Transactions on Wireless Communications, 2018, 17(9): 5827–5840. doi: 10.1109/TWC.2018.2850302
[10]	NASIR A A, TUAN H D, NGUYEN H H, et al. Resource allocation and beamforming design in the short blocklength regime for URLLC[J]. IEEE Transactions on Wireless Communications, 2021, 20(2): 1321–1335. doi: 10.1109/TWC.2020.3032729
[11]	KHALIFA N B, ANGILELLA V, ASSAAD M, et al. Low-complexity channel allocation scheme for URLLC traffic[J]. IEEE Transactions on Communications, 2021, 69(1): 194–206. doi: 10.1109/TCOMM.2020.3022008
[12]	MAKKI B, SVENSSON T, and ZORZI M. Finite block-length analysis of spectrum sharing networks using rate adaptation[J]. IEEE Transactions on Communications, 2015, 63(8): 2823–2835. doi: 10.1109/TCOMM.2015.2449842
[13]	CAI Yeming, JIANG Xu, LIU Mingqian, et al. Resource allocation for URLLC-oriented two-way UAV relaying[J]. IEEE Transactions on Vehicular Technology, 2022, 71(3): 3344–3349. doi: 10.1109/TVT.2022.3143174
[14]	SUN Chengjian, SHE Changyang, YANG Chenyang, et al. Optimizing resource allocation in the short blocklength regime for ultra-reliable and low-latency communications[J]. IEEE Transactions on Wireless Communications, 2019, 18(1): 402–415. doi: 10.1109/TWC.2018.2880907
[15]	SABUJ S R, AHMED A, CHO Y, et al. Cognitive UAV-aided URLLC and mMTC services: Analyzing energy efficiency and latency[J]. IEEE ACCESS, 2021, 9: 5011–5027. doi: 10.1109/ACCESS.2020.3048436
[16]	SINGH K, KU Menglin, and FLANAGAN M F. Energy-efficient precoder design for downlink multi-user MISO networks with finite blocklength codes[J]. IEEE Transactions on Green Communications and Networking, 2021, 5(1): 160–173. doi: 10.1109/TGCN.2020.3045687