Citation: | PANG Mingliang, WANG Chaowei, WU Tong, CHEN Jiabin, HUANG Sai, JIANG Fan, ZHANG Junyi. Flexible Multiple Access Technology for Satellite Internet of Things[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2497-2505. doi: 10.11999/JEIT231388 |
[1] |
BAI Tingqian, HUANG C Y, and LEE Y. Reliably route IoT packets in software defined mmWave mesh networks[J]. IEEE Networking Letters, 2023, 5(1): 50–54. doi: 10.1109/LNET.2023.3239120.
|
[2] |
SHI Liqin, YE Yinghui, CHU Xiaoli, et al. Computation bits maximization in a backscatter assisted wirelessly powered MEC network[J]. IEEE Communications Letters, 2021, 25(2): 528–532. doi: 10.1109/LCOMM.2020.3027294.
|
[3] |
YU Peng, LI Yijing, ZHANG Manjun, et al. Self-organized and distributed green resource allocation for space-air-ground IoT networks[J]. IEEE Internet of Things Journal, 2023, 10(11): 9385–9397. doi: 10.1109/JIOT.2022.3222238.
|
[4] |
李凯, 李峰, 杨伟铭. 天基物联网: 基本概念、体系架构及发展趋势[J]. 电讯技术, 2023, 63(2): 281–290. doi: 10.20079/j.issn.1001-893x.211207003.
LI Kai, LI Feng, and YANG Weiming. Space-based internet of things: Basic concepts, system architecture and development trends[J]. Telecommunication Engineering, 2023, 63(2): 281–290. doi: 10.20079/j.issn.1001-893x.211207003.
|
[5] |
HUANG Yudian, LI Meng, YU F R, et al. Resources scheduling for ambient backscatter communication-based intelligent IIoT: A collective deep reinforcement learning method[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(2): 634–648. doi: 10.1109/TCCN.2023.3330065.
|
[6] |
HUANG Yudian, LI Meng, YU F R, et al. Performance optimization for energy-efficient industrial internet of things based on ambient backscatter communication: An A3C-FL approach[J]. IEEE Transactions on Green Communications and Networking, 2023, 7(3): 1121–1134. doi: 10.1109/TGCN.2023.3260199.
|
[7] |
SHI Liqin, YE Yinghui, CHU Xiaoli, et al. Energy-efficient resource allocation for backscatter-assisted wireless powered MEC[J]. IEEE Transactions on Vehicular Technology, 2023, 72(7): 9591–9596. doi: 10.1109/TVT.2023.3246237.
|
[8] |
LI Meng, YU F R, SI Pengbo, et al. Intelligent resource optimization for blockchain-enabled IoT in 6G via collective reinforcement learning[J]. IEEE Network, 2022, 36(6): 175–182. doi: 10.1109/MNET.105.2100516.
|
[9] |
LIN Guozhi, GE Jingguo, and WU Yulei. Toward zero touch networks: From the perspective of hierarchical language systems[J]. IEEE Network, 2022, 36(6): 260–268. doi: 10.1109/MNET.001.2200037.
|
[10] |
WANG Ji, ZHOU Longfei, YANG Kai, et al. Multicast precoding for multigateway multibeam satellite systems with feeder link interference[J]. IEEE Transactions on Wireless Communications, 2019, 18(3): 1637–1650. doi: 10.1109/TWC.2019.2894823.
|
[11] |
YAN Lanting, DING Xiaojin, and ZHANG Gengxin. Dynamic channel allocation aided random access for SDN-enabled LEO satellite IoT[J]. Journal of Communications and Information Networks, 2021, 6(2): 134–141. doi: 10.23919/JCIN.2021.9475123.
|
[12] |
AKHLAGHPASAND H and SHAH-MANSOURI V. Traffic offloading probability for integrated LEO satellite-terrestrial networks[J]. IEEE Communications Letters, 2023, 27(9): 2413–2416. doi: 10.1109/LCOMM.2023.3298572.
|
[13] |
CUI Huanxi, ZHANG Jun, GENG Yuhui, et al. Space-air-ground integrated network (SAGIN) for 6G: Requirements, architecture and challenges[J]. China Communications, 2022, 19(2): 90–108. doi: 10.23919/JCC.2022.02.008.
|
[14] |
CHAUHAN A, GHOSH S, and JAISWAL A. RIS partition-assisted non-orthogonal multiple access (NOMA) and quadrature-NOMA with imperfect SIC[J]. IEEE Transactions on Wireless Communications, 2023, 22(7): 4371–4386. doi: 10.1109/TWC.2022.3224645.
|
[15] |
LIU Rui, GUO Kefeng, AN Kang, et al. Resource allocation for cognitive satellite-HAP-terrestrial networks with non-orthogonal multiple access[J]. IEEE Transactions on Vehicular Technology, 2023, 72(7): 9659–9663. doi: 10.1109/TVT.2023.3252642.
|
[16] |
ZHANG Zheng, CHEN Jian, WU Qingqing, et al. Securing NOMA networks by exploiting intelligent reflecting surface[J]. IEEE Transactions on Communications, 2022, 70(2): 1096–1111. doi: 10.1109/TCOMM.2021.3126636.
|
[17] |
SHI Liqin, YE Yinghui, CHU Xiaoli, et al. Computation energy efficiency maximization for a NOMA-based WPT-MEC network[J]. IEEE Internet of Things Journal, 2021, 8(13): 10731–10744. doi: 10.1109/JIOT.2020.3048937.
|
[18] |
YANG Mengqi, CHEN Jian, DING Zhiguo, et al. Rate-aware user pair scheduling with joint power allocation and decoding order selection in NOMA systems[J]. IEEE Transactions on Communications, 2023, 71(9): 5303–5319. doi: 10.1109/TCOMM.2023.3292479.
|
[19] |
SREYA G, SAIGADHA S, MANKAR P D, et al. Adaptive rate NOMA for cellular IoT networks[J]. IEEE Wireless Communications Letters, 2022, 11(3): 478–482. doi: 10.1109/LWC.2021.3132932.
|
[20] |
HU Yingmeng, PENG Lin, and LIU Yan. Design and analysis of a dynamic access class barring NOMA random access algorithm[J]. IEEE Communications Letters, 2022, 26(12): 3054–3058. doi: 10.1109/LCOMM.2022.3204567.
|
[21] |
ZHANG Ningbo and ZHU Xuzhen. A hybrid grant NOMA random access for massive MTC service[J]. IEEE Internet of Things Journal, 2023, 10(6): 5490–5505. doi: 10.1109/JIOT.2022.3222622.
|
[22] |
GAO Yayu, FANG Shuangfeng, SONG Xiangchen, et al. When aloha and CSMA coexist: Modeling, fairness, and throughput optimization[J]. IEEE Transactions on Wireless Communications, 2022, 21(10): 8163–8178. doi: 10.1109/TWC.2022.3164463.
|
[23] |
CHEN Ziru, ZHANG Ran, LIU Yong, et al. Performance study of cybertwin-assisted random access NOMA[J]. IEEE Internet of Things Journal, 2021, 8(22): 16279–16289. doi: 10.1109/JIOT.2021.3100457.
|
[24] |
CAO Shengbin and HOU Fen. On the mathematical modeling and optimization for the energy efficiency performance of CSMA-NOMA random access networks with channel inversion[J]. IEEE Transactions on Wireless Communications, 2023, 22(4): 2867–2884. doi: 10.1109/TWC.2022.3215227.
|
[25] |
RAMATRYANA I N A, SATRYA G B, and SHIN S Y. Adaptive traffic load in IRSA-NOMA prioritizing emergency devices for 6G enabled massive IoT[J]. IEEE Wireless Communications Letters, 2021, 10(12): 2713–2717. doi: 10.1109/LWC.2021.3113048.
|
[26] |
YU Hanxiao, ZHAO Hanyu, FEI Zesong, et al. Deep-reinforcement-learning-based NOMA-aided slotted ALOHA for LEO satellite IoT networks[J]. IEEE Internet of Things Journal, 2023, 10(20): 17772–17784. doi: 10.1109/JIOT.2023.3277836.
|
[27] |
TUBIANA D A, FARHAT J, BRANTE G, et al. Q-learning NOMA random access for IoT-satellite terrestrial relay networks[J]. IEEE Wireless Communications Letters, 2022, 11(8): 1619–1623. doi: 10.1109/LWC.2022.3169109.
|