星地融合网络中基于层分复用的广播和单播传输鲁棒波束赋形

李云; 张本思; 彭德义; 夏永红; 邢智童

doi:10.11999/JEIT210838

星地融合网络中基于层分复用的广播和单播传输鲁棒波束赋形

doi: 10.11999/JEIT210838

重庆邮电大学通信与信息工程学院重庆 400065

基金项目: 国家自然科学基金(62071077, 61671096)，重庆邮电大学博士生培养项目(BYJS201903)

详细信息

作者简介:
李云：男，教授，博士生导师，研究方向为无线移动通信

张本思：男，硕士生，研究方向为星地协作波束赋形

彭德义：男，博士生，研究方向为多波束卫星通信、无线信号处理等

夏永红：女，硕士生，研究方向为多波束卫星通信

邢智童：男，博士，研究方向为无线通信传输

通讯作者:
彭德义　pengdeyi1987@126.com

中图分类号: TN927.2
计量
- 文章访问数: 817
- HTML全文浏览量: 425
- PDF下载量: 112
- 被引次数: 0
出版历程
- 收稿日期: 2021-08-17
- 修回日期: 2022-03-17
- 网络出版日期: 2022-03-28
- 刊出日期: 2022-09-19

Robust Beamforming for Layer Division Multiplexing Based on Broadcast and Unicast Transmissions in Satellite-Terrestrial Integrated Networks

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (62071077, 61671096), The Doctoral Program of Chongqing University of Posts and Telecommunications (BYJS201903)

摘要

摘要: 星地融合网络(STIN)为解决下一代无线通信中地面基站存在的覆盖范围约束和频谱短缺瓶颈提供一种有效架构。针对该融合网络中下行广播和单播单独传输性能受限问题，该文建立基于服务质量(QoS)约束的最小化传输功率优化模型，提出基于层分复用(LDM)的鲁棒联合波束赋形传输方案。且根据最差情况准则，采用S-Procedure及半正定松弛(SDR)方法将具有无穷维约束的鲁棒优化问题转化为具有线性矩阵不等式(LMI)的确定性优化形式，并提出一种基于罚函数的迭代算法求解该问题。仿真结果表明，所提方案在传输功耗方面比传统正交时分复用(TDM)传输方案降低约6 dBm，且用户平均速率相较于非协作传输方案提升明显。
- 星地融合网络 /
- 波束赋形 /
- 广播 /
- 层分复用 /
- 鲁棒性
Abstract: The Satellite-Terrestrial Integrated Networks (STIN) is able to provide an effective framework to solve the limitation of coverage and spectrum shortage of terrestrial base station for the next generation wireless communication. Considering the performance limitation of downlink broadcast and unicast standalone transmission in STIN, an optimization problem that minimize the transmit power based on Quality of Service (QoS) constraints is established, and a robust joint beamforming transmission scheme based on Layer Division Multiplexing (LDM) is proposed. According to the worst-case criterion, the robust optimization problem with infinite-dimension constraints is transformed into a deterministic optimization form with Linear Matrix Inequality (LMI) by employing S-procedure and Semi-Definite Relaxation (SDR) methods. And then, an iterative algorithm based on penalty function is also proposed to address the original problem. Simulation results show that, the power consumption of the proposed algorithm is about 6 dBm lower than traditional orthogonal Time Division Multiplexing (TDM) transmission scheme, while the cooperative transmission scheme outperforms significantly the non-cooperative ones in terms of the average user rate.
- Satellite-Terrestrial Integrated Networks (STIN) /
- Beamforming /
- Broadcast /
- Layer Division Multiplexing (LDM) /
- Robustness

HTML全文

图 1 STIN下行传输系统模型

下载: 全尺寸图片幻灯片

图 2 算法1的收敛性

下载: 全尺寸图片幻灯片

图 3 算法1的鲁棒性

下载: 全尺寸图片幻灯片

图 4 传输功率与广播最小速率门限的关系

下载: 全尺寸图片幻灯片

图 5 单播和广播速率与最小速率门限的关系

下载: 全尺寸图片幻灯片

参考文献(22)

[1]	GUSTAVSSON U, FRENGER P, FAGER C, et al. Implementation challenges and opportunities in beyond-5G and 6G communication[J]. IEEE Journal of Microwaves, 2021, 1(1): 86–100. doi: 10.1109/JMW.2020.3034648
[2]	徐晖, 缪德山, 康绍莉, 等. 面向天地融合的卫星网络架构和传输关键技术[J]. 天地一体化信息网络, 2020, 1(2): 1–10. doi: 10.11959/j.issn.2096-8930.20200201 XU Hui, MIAO Deshan, KANG Shaoli, et al. Network architecture and key technologies for the integrated satellite and terrestrial mobile communication system[J]. Space-Integrated-Ground Information Networks, 2020, 1(2): 1–10. doi: 10.11959/j.issn.2096-8930.20200201
[3]	徐常志, 靳一, 李立, 等. 面向6G的星地融合无线传输技术[J]. 电子与信息学报, 2021, 43(1): 28–36. doi: 10.11999/JEIT200363 XU Changzhi, JIN Yi, LI Li, et al. Wireless transmission technology of satellite-terrestrial integration for 6G mobile communication[J]. Journal of Electronics &Information Technology, 2021, 43(1): 28–36. doi: 10.11999/JEIT200363
[4]	ZHU Xiangming, JIANG Chunxiao, KUANG Linling, et al. Non-orthogonal multiple access based integrated terrestrial-satellite networks[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(10): 2253–2267. doi: 10.1109/JSAC.2017.2724478
[5]	PENG Deyi, LI Yun, CHATZINOTAS S, et al. Hybrid analog-digital precoding for mmWave coexisting in 5G-satellite integrated network[C]. 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, London, UK, 2020: 1–6.
[6]	ZHANG Hongming, JIANG Chunxiao, WANG Jingjing, et al. Multicast beamforming optimization in cloud-based heterogeneous terrestrial and satellite networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(2): 1766–1776. doi: 10.1109/TVT.2019.2959933
[7]	LIU Hui, CHEN Zhiyong, TIAN Xiaohua, et al. On content-centric wireless delivery networks[J]. IEEE Wireless Communications, 2014, 21(6): 118–125. doi: 10.1109/MWC.2014.7000979
[8]	CHEN Erkai, TAO Meixia, and LIU Yafeng. Joint base station clustering and beamforming for non-orthogonal multicast and unicast transmission with backhaul constraints[J]. IEEE Transactions on Wireless Communications, 2018, 17(9): 6265–6279. doi: 10.1109/TWC.2018.2858223
[9]	CHEN Erkai and TAO Meixia. Backhaul-constrained joint beamforming for non-orthogonal multicast and unicast transmission[C]. GLOBECOM 2017-2017 IEEE Global Communications Conference, Singapore, 2017: 1–6.
[10]	KIM D, KHAN F, VAN RENSBURG C, et al. Superposition of broadcast and unicast in wireless cellular systems[J]. IEEE Communications Magazine, 2008, 46(7): 110–117. doi: 10.1109/MCOM.2008.4557052
[11]	SIMON M, KOFI E, LIBIN L, et al. ATSC 3.0 broadcast 5G unicast heterogeneous network converged services starting release 16[J]. IEEE Transactions on Broadcasting, 2020, 66(2): 449–458. doi: 10.1109/TBC.2020.2985575
[12]	ZHANG Liang, LI Wei, WU Yiyan, et al. Using non-orthogonal multiplexing for enhancing unicast-broadcast transmission capacity in 5G[C]. 2019 IEEE 2nd 5G World Forum, Dresden, Germany, 2019: 214–219.
[13]	ZHAO Junlin, GÜNDÜZ D, SIMEONE O, et al. Non-orthogonal unicast and broadcast transmission via joint beamforming and LDM in cellular networks[J]. IEEE Transactions on Broadcasting, 2020, 66(2): 216–228. doi: 10.1109/TBC.2019.2932339
[14]	LIN Zhi, LIN Min, CHAMPAGNE B, et al. Secure and energy efficient transmission for RSMA-based cognitive satellite-terrestrial networks[J]. IEEE Wireless Communications Letters, 2021, 10(2): 251–255. doi: 10.1109/LWC.2020.3026700
[15]	LI Bin, FEI Zesong, CHU Zheng, et al. Secure transmission for heterogeneous cellular networks with wireless information and power transfer[J]. IEEE Systems Journal, 2018, 12(4): 3755–3766. doi: 10.1109/JSYST.2017.2713881
[16]	徐勇军, 李国权, 陈前斌, 等. 基于非正交多址接入异构携能网络稳健能效资源分配算法[J]. 通信学报, 2020, 41(2): 84–96. doi: 10.11959/j.issn.1000-436x.2020029 XU Yongjun, LI Guoquan, CHEN Qianbin, et al. Robust energy efficiency for SWIPT-enabled heterogeneous NOMA network[J]. Journal on Communications, 2020, 41(2): 84–96. doi: 10.11959/j.issn.1000-436x.2020029
[17]	BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004: 626–627.
[18]	HUANG Yongwei, PALOMAR D P, and ZHANG Shuzhong. Lorentz-positive maps and quadratic matrix inequalities with applications to robust MISO transmit beamforming[J]. IEEE Transactions on Signal Processing, 2013, 61(5): 1121–1130. doi: 10.1109/TSP.2012.2229276
[19]	CHU Jianhang and CHEN Xiaoming. Robust design for integrated satellite–terrestrial internet of things[J]. IEEE Internet of Things Journal, 2021, 8(11): 9072–9083. doi: 10.1109/JIOT.2021.3055776
[20]	LUTZ E, CYGAN D, DIPPOLD M, et al. The land mobile satellite communication channel-recording, statistics, and channel model[J]. IEEE Transactions on Vehicular Technology, 1991, 40(2): 375–386. doi: 10.1109/25.289418
[21]	SAWAHASHI M, KISHIYAMA Y, MORIMOTO A, et al. Coordinated multipoint transmission/reception techniques for LTE-advanced [coordinated and distributed MIMO][J]. IEEE Wireless Communications, 2010, 17(3): 26–34. doi: 10.1109/MWC.2010.5490976
[22]	XIA Yonghong, PENG Deyi, LI Yun, et al. Joint user grouping and resource allocation for multi-beam satellite system with non-orthogonal multiple access[C]. 2021 13th International Conference on Wireless Communications and Signal Processing, Changsha, China, 2021: 1–6.