Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information

XU Yongjun; WANG Mingyang; TIAN Qinyu; ZHANG Haibo; XUE Qing

doi:10.11999/JEIT231366

Volume 46 Issue 12

Dec. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(12): 4354-4362

XU Yongjun, WANG Mingyang, TIAN Qinyu, ZHANG Haibo, XUE Qing. Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4354-4362. doi: 10.11999/JEIT231366

Citation:

XU Yongjun, WANG Mingyang, TIAN Qinyu, ZHANG Haibo, XUE Qing. Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4354-4362. doi: 10.11999/JEIT231366

Citation:

XU Yongjun, WANG Mingyang, TIAN Qinyu, ZHANG Haibo, XUE Qing. Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4354-4362. doi: 10.11999/JEIT231366

PDF( 2448 KB)

Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information

doi: 10.11999/JEIT231366 cstr: 32379.14.JEIT231366

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

Funds: The National Natural Science Foundation of China (U23A20279, 62271094), The Key Fund of Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009, CSTB2023NSCQ-LZX0079), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601), The Institute for Advanced Sciences, Chongqing University of Posts and Telecommunication (E011A2022324)

Received Date: 2023-12-11
Rev Recd Date: 2024-11-22

Available Online: 2024-11-28

Publish Date: 2024-12-01

Abstract

Abstract

To overcome the effect of channel estimation errors on the ineffectiveness of conventional optimal resource allocation algorithms, a robust resource allocation algorithm with imperfect Channel State Information(CSI) is proposed in Multiple-Input Single-Output(MISO) symbiotic radio systems. Considering the constraints of the minimum throughput of users, transmission time, maximum transmit power of the base station, and the reflection coefficients of users, based on bounded channel uncertainties, a robust throughput-maximization resource allocation problem is formulated by jointly optimizing transmission time, beamforming vectors, and reflection coefficients. The original problem is transformed into a convex problem by applying the Lagrange dual theory, the variable substitution, and the alternating optimizing methods. Simulation results verified that the throughput of the proposed algorithm is improved by 11.7% and the outage probability is reduced by 5.31% by comparing it with the non-robust resource allocation algorithm.
- Symbiotic Radio(SR),
- Robust resource allocation,
- Throughput maximization

FullText(HTML)

References(22)

References

[1]	ZHANG Qianqian, LIANG Yingchang, YANG Hongchuan, et al. Mutualistic mechanism in symbiotic radios: When can the primary and secondary transmissions be mutually beneficial?[J]. IEEE Transactions on Wireless Communications, 2022, 21(10): 8036–8050. doi: 10.1109/TWC.2022.3163735.
[2]	HU Jinlin, LIANG Yingchang, and PEI Yiyang. Reconfigurable intelligent surface enhanced multi-user MISO symbiotic radio system[J]. IEEE Transactions on Communications, 2021, 69(4): 2359–2371. doi: 10.1109/TCOMM.2020.3047444.
[3]	未来移动通信论坛. 未来IMT通信系统频谱研究白皮书(2024年)[R]. 2024.
[4]	LIANG Yingchang, ZHANG Qianqian, LARSSON E G, et al. Symbiotic radio: Cognitive backscattering communications for future wireless networks[J]. IEEE Transactions on Cognitive Communications and Networking, 2020, 6(4): 1242–1255. doi: 10.1109/TCCN.2020.3023139.
[5]	GUO Huayan, LIANG Yingchang, LONG Ruizhe, et al. Resource allocation for symbiotic radio system with fading channels[J]. IEEE Access, 2019, 7: 34333–34347. doi: 10.1109/ACCESS.2019.2904612.
[6]	CHU Zheng, HAO Wanming, XIAO Pei, et al. Resource allocations for symbiotic radio with finite blocklength backscatter link[J]. IEEE Internet of Things Journal, 2020, 7(9): 8192–8207. doi: 10.1109/JIOT.2020.2980928.
[7]	YANG Haohang, YE Yinghui, LIANG Kai, et al. Energy efficiency maximization for symbiotic radio networks with multiple backscatter devices[J]. IEEE Open Journal of the Communications Society, 2021, 2: 1431–1444. doi: 10.1109/OJCOMS.2021.3090836.
[8]	ZHANG Ronghaixiang, KANG Xin, and LIANG Yingchang. Minimum throughput maximization for peer-assisted NOMA-plus-TDMA symbiotic radio networks[J]. IEEE Wireless Communications Letters, 2021, 10(9): 1847–1851. doi: 10.1109/LWC.2021.3083841.
[9]	LIAO Yating, YANG Gang, and LIANG Yingchang. Resource allocation in NOMA-enhanced full-duplex symbiotic radio networks[J]. IEEE Access, 2020, 8: 22709–22720. doi: 10.1109/ACCESS.2020.2967153.
[10]	LI Jing, LI Xin, BI Yanjun, et al. Energy-efficient joint resource allocation with reconfigurable intelligent surfaces in symbiotic radio networks[J]. IEEE Transactions on Cognitive Communications and Networking, 2022, 8(4): 1816–1827. doi: 10.1109/TCCN.2022.3188986.
[11]	ZHOU Chunyu, XU Yongjun, LI Dong, et al. Energy-efficient maximization for RIS-aided MISO symbiotic radio systems[J]. IEEE Transactions on Vehicular Technology, 2023, 72(10): 13689–13694. doi: 10.1109/TVT.2023.3274796.
[12]	WU Mingjiang, LEI Xianfu, ZHOU Xiangyun, et al. RIS-assisted energy- and spectrum-efficient symbiotic transmission in NOMA systems[J]. IEEE Transactions on Communications, 2023, 71(5): 2801–2815. doi: 10.1109/TCOMM.2023.3241355.
[13]	HUA Meng, YANG Luxi, WU Qingqing, et al. UAV-assisted intelligent reflecting surface symbiotic radio system[J]. IEEE Transactions on Wireless Communications, 2021, 20(9): 5769–5785. doi: 10.1109/TWC.2021.3070014.
[14]	HAN Shiying, LIANG Yingchang, and SUN Guiling. The design and optimization of random code assisted Multi-BD symbiotic radio system[J]. IEEE Transactions on Wireless Communications, 2021, 20(8): 5159–5170. doi: 10.1109/TWC.2021.3065941.
[15]	AL-NAHARI A, JÄNTTI R, ZHENG Gan, et al. Ergodic secrecy rate analysis and optimal power allocation for symbiotic radio networks[J]. IEEE Access, 2023, 11: 82327–82337. doi: 10.1109/ACCESS.2023.3301186.
[16]	ZHANG Qianqian, LIANG Yingchang, and POOR H V. Reconfigurable intelligent surface assisted MIMO symbiotic radio networks[J]. IEEE Transactions on Communications, 2021, 69(7): 4832–4846. doi: 10.1109/TCOMM.2021.3070043.
[17]	ZHOU Hu, KANG Xin, LIANG Yingchang, et al. Cooperative beamforming for reconfigurable intelligent surface-assisted symbiotic radios[J]. IEEE Transactions on Vehicular Technology, 2022, 71(11): 11677–11692. doi: 10.1109/TVT.2022.3190515.
[18]	吴翠先, 周春宇, 徐勇军, 等. 智能反射面辅助的多入单出共生无线电鲁棒安全资源分配算法[J]. 电子与信息学报, 2024, 46(4): 1203–1211. doi: 10.11999/JEIT230426. WU Cuixian, ZHOU Chunyu, XU Yongjun, et al. Robust secure resource allocation algorithm for multiple input single output symbiotic radio with reconfigurable intelligent surface assistance[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1203–1211. doi: 10.11999/JEIT230426.
[19]	徐勇军, 姜思巧, 王公仆, 等. 基于不完美CSI的认知反向散射通信吞吐量最大化算法[J]. 电子与信息学报, 2023, 45(7): 2325–2333. doi: 10.11999/JEIT221483. XU Yongjun, JIANG Siqiao, WANG Gongpu, et al. Throughput maximization algorithm for cognitive backscatter communication with imperfect CSI[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2325–2333. doi: 10.11999/JEIT221483.
[20]	BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
[21]	WU Tuo, JIANG Miao, ZHANG Qi, et al. Beamforming design in multiple-input-multiple-output symbiotic radio backscatter systems[J]. IEEE Communications Letters, 2021, 25(6): 1949–1953. doi: 10.1109/LCOMM.2021.3060468.
[22]	HEIDARPOUR A R, ARDAKANI M, TELLAMBURA C, et al. Network-coded cooperative systems in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2022, 21(12): 11011–11023. doi: 10.1109/TWC.2022.3188729.