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Journal articles on the topic 'Surface intelligent reconfigurable'

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Author: Grafiati
Published: 23 September 2022
Last updated: 28 September 2022

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1

Jun, Dongsoo, and Chan-Byoung Chae. "Design and Performance Analysis of Reconfigurable Intelligent Surface with Meta-Devices." Journal of Korean Institute of Communications and Information Sciences 47, no. 6 (June 30, 2022): 882–89. http://dx.doi.org/10.7840/kics.2022.47.6.882.

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2

Hou, Tianwei, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, and Lajos Hanzo. "Reconfigurable Intelligent Surface Aided NOMA Networks." IEEE Journal on Selected Areas in Communications 38, no. 11 (November 2020): 2575–88. http://dx.doi.org/10.1109/jsac.2020.3007039.

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3

Ma, Teng, Yue Xiao, Xia Lei, Wenhui Xiong, and Yuan Ding. "Indoor Localization With Reconfigurable Intelligent Surface." IEEE Communications Letters 25, no. 1 (January 2021): 161–65. http://dx.doi.org/10.1109/lcomm.2020.3025320.

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4

Jiang, Tao, and Wei Yu. "Interference Nulling Using Reconfigurable Intelligent Surface." IEEE Journal on Selected Areas in Communications 40, no. 5 (May 2022): 1392–406. http://dx.doi.org/10.1109/jsac.2022.3143220.

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5

Canbilen, Ayse E., Ertugrul Basar, and Salama S. Ikki. "Reconfigurable Intelligent Surface-Assisted Space Shift Keying." IEEE Wireless Communications Letters 9, no. 9 (September 2020): 1495–99. http://dx.doi.org/10.1109/lwc.2020.2994930.

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6

Long, Ruizhe, Ying-Chang Liang, Yiyang Pei, and Erik G. Larsson. "Active Reconfigurable Intelligent Surface-Aided Wireless Communications." IEEE Transactions on Wireless Communications 20, no. 8 (August 2021): 4962–75. http://dx.doi.org/10.1109/twc.2021.3064024.

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7

Hua, Sheng, Yong Zhou, Kai Yang, Yuanming Shi, and Kunlun Wang. "Reconfigurable Intelligent Surface for Green Edge Inference." IEEE Transactions on Green Communications and Networking 5, no. 2 (June 2021): 964–79. http://dx.doi.org/10.1109/tgcn.2021.3058657.

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8

Dong, Limeng, Hui-Ming Wang, and Jiale Bai. "Active Reconfigurable Intelligent Surface Aided Secure Transmission." IEEE Transactions on Vehicular Technology 71, no. 2 (February 2022): 2181–86. http://dx.doi.org/10.1109/tvt.2021.3135498.

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9

Zhu, Xusheng, Lei Yuan, Kyeong Jin Kim, Qingqing Li, and Jiliang Zhang. "Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation." IEEE Communications Letters 26, no. 1 (January 2022): 192–96. http://dx.doi.org/10.1109/lcomm.2021.3127020.

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10

Bai, Tong, Cunhua Pan, Chao Han, and Lajos Hanzo. "Reconfigurable Intelligent Surface Aided Mobile Edge Computing." IEEE Wireless Communications 28, no. 6 (December 2021): 80–86. http://dx.doi.org/10.1109/mwc.001.2100142.

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11

Yang, Kai, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, and Wei Chen. "Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface." IEEE Network 34, no. 5 (September 2020): 16–22. http://dx.doi.org/10.1109/mnet.011.2000045.

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12

Zhang, Shun, Muye Li, Mengnan Jian, Yajun Zhao, and Feifei Gao. "AIRIS: Artificial intelligence enhanced signal processing in reconfigurable intelligent surface communications." China Communications 18, no. 7 (July 2021): 158–71. http://dx.doi.org/10.23919/jcc.2021.07.013.

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13

Liu, Yiping, Jianwu Dou, Yijun Cui, Yijian Chen, Jun Yang, Fan Qin, and Yuxin Wang. "Reconfigurable Intelligent Surface Physical Model in Channel Modeling." Electronics 11, no. 17 (September 5, 2022): 2798. http://dx.doi.org/10.3390/electronics11172798.

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Reconfigurable intelligent surfaces (RISs) are one of the potential technologies for 6th generation (6G) mobile communication systems with superior electromagnetic (EM) wave-steering capability to effectively control the phase, amplitude, and polarization of the incident EM wave. An implementation-independent physical RIS model with key EM characteristics is especially crucial to RIS channel modeling considering the trade-off between complexity and accuracy. In this paper, a reflective RIS physical model is proposed to facilitate channel modeling in a system simulation. Based on the impinging EM wave of the last bounce to the RIS, the scattering field intensity of the target point is obtained using geometric optics and the electric field surface integration method of physical optics. The feasibility of the model is verified by a comparison of the simulation and test results.
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14

Zhang, Haobo, Hongliang Zhang, Boya Di, Kaigui Bian, Zhu Han, and Lingyang Song. "Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface." IEEE Communications Letters 25, no. 1 (January 2021): 284–88. http://dx.doi.org/10.1109/lcomm.2020.3023130.

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15

Yang, Gang, Xinyue Xu, Ying-Chang Liang, and Marco Di Renzo. "Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access." IEEE Transactions on Wireless Communications 20, no. 5 (May 2021): 3137–51. http://dx.doi.org/10.1109/twc.2020.3047632.

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16

Luo, Junshan, Fanggang Wang, Shilian Wang, Hao Wang, and Dong Wang. "Reconfigurable Intelligent Surface: Reflection Design Against Passive Eavesdropping." IEEE Transactions on Wireless Communications 20, no. 5 (May 2021): 3350–64. http://dx.doi.org/10.1109/twc.2021.3049312.

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17

Li, Jingyi, Sai Xu, Jiajia Liu, Yurui Cao, and Wei Gao. "Reconfigurable Intelligent Surface Enhanced Secure Aerial-Ground Communication." IEEE Transactions on Communications 69, no. 9 (September 2021): 6185–97. http://dx.doi.org/10.1109/tcomm.2021.3086517.

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18

Li, Yijiu, Cheng Yin, Tan Do-Duy, Antonino Masaracchia, and Trung Q. Duong. "Aerial Reconfigurable Intelligent Surface-Enabled URLLC UAV Systems." IEEE Access 9 (2021): 140248–57. http://dx.doi.org/10.1109/access.2021.3119268.

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19

Shang, Bodong, Rubayet Shafin, and Lingjia Liu. "UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface (SARIS)." IEEE Wireless Communications 28, no. 5 (October 2021): 156–63. http://dx.doi.org/10.1109/mwc.010.2000526.

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20

Feng, Biqian, Junyuan Gao, Yongpeng Wu, Wenjun Zhang, Xiang-Gen Xia, and Chengshan Xiao. "Optimization Techniques in Reconfigurable Intelligent Surface Aided Networks." IEEE Wireless Communications 28, no. 6 (December 2021): 87–93. http://dx.doi.org/10.1109/mwc.001.2100196.

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21

Zhou, Xingyu, Keke Ying, Shicong Liu, Malong Ke, Zhen Gao, and Mohamed-Slim Alouini. "Reconfigurable intelligent surface assisted grant-free massive access." Intelligent and Converged Networks 3, no. 1 (March 2022): 134–43. http://dx.doi.org/10.23919/icn.2022.0009.

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22

Siddiqi, Muhammad Zain, and Talha Mir. "Reconfigurable intelligent surface-aided wireless communications: An overview." Intelligent and Converged Networks 3, no. 1 (March 2022): 33–63. http://dx.doi.org/10.23919/icn.2022.0007.

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23

Zhang, Qianqian, Ying-Chang Liang, and H. Vincent Poor. "Reconfigurable Intelligent Surface Assisted MIMO Symbiotic Radio Networks." IEEE Transactions on Communications 69, no. 7 (July 2021): 4832–46. http://dx.doi.org/10.1109/tcomm.2021.3070043.

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24

Lian, Xuanhao, Xinwei Yue, Xuehua Li, Xiang Yun, Tian Li, and Dehan Wan. "Reconfigurable Intelligent Surface Assisted Non-Terrestrial NOMA Networks." Wireless Communications and Mobile Computing 2022 (September 19, 2022): 1–13. http://dx.doi.org/10.1155/2022/8494630.

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This paper considers the application of reconfigurable intelligent surface (RIS) to non-terrestrial non-orthogonal multiple access (NOMA) networks. More specifically, the performance of a pair of non-orthogonal users for RIS assisted non-terrestrial NOMA networks is investigated over large-scale fading and Nakagami- m fading cascaded channel. The exact and asymptotic expressions of outage probability are derived for the nearby user and distant user with the imperfect successive interference cancellation (SIC) and perfect SIC schemes. Based on the approximated results, the diversity orders of these two users are obtained in the high signal-to-noise ratios. The simulation results are used to verify the theoretical derivations and find that: 1) The outage behaviors of RIS assisted non-terrestrial NOMA networks outperforms than that of orthogonal multiple access; 2) By increasing the number of reflecting elements of RIS and Nagakami- m fading factors m ′ and Ω , RIS-assisted non-terrestrial NOMA networks are able to achieve the enhanced outage performance.
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25

Tran, Huu Q., Nguyen Trong Duy, and Huynh Phan Hieu Nghia. "Collaborative Relay Radio Network Using Reconfigurable Intelligent Surface." ICST Transactions on Mobile Communications and Applications 7, no. 3 (September 21, 2022): e2. http://dx.doi.org/10.4108/eetmca.v7i3.2716.

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In this paper, we have studied a model of a relay radio network system using Reconfigurable Intelligent Surface (RIS). Specifically, we used a relay network that uses RIS when there is an extra direct link from the Source (S) to the Destination (D). Next, an approximate closed-form expressions of the Outage Probability (OP) and Ergodic Capacity (EC) are considered. Based on the simulation results of OP and EC, the results show that our proposed system is more optimal than the system using supported RIS without direct link and the system without using RIS. In addition, changing the number of the RIS reflecting elements and the RIS’s location near (S) or (D) has a significant impact on the performance of the system. The analytical expression match the simulation results through the Monte Carlo simulation method. Furthermore, the simulation results of energy efficiency (EE) also show that when the target spectral efficiency (SE), Rth, is high (more than 5.45 b/s/Hz), the system using supported RIS with direct link will help reduce the transmit power and optimize the most energy compared to the other two systems.
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26

Fu, Min, Yong Zhou, Yuanming Shi, and Khaled B. Letaief. "Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access." IEEE Transactions on Communications 69, no. 6 (June 2021): 3802–17. http://dx.doi.org/10.1109/tcomm.2021.3066587.

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27

Ntontin, Konstantinos, Alexandros-Apostolos A. Boulogeorgos, Dimitrios G. Selimis, Fotis I. Lazarakis, Angeliki Alexiou, and Symeon Chatzinotas. "Reconfigurable Intelligent Surface Optimal Placement in Millimeter-Wave Networks." IEEE Open Journal of the Communications Society 2 (2021): 704–18. http://dx.doi.org/10.1109/ojcoms.2021.3068790.

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28

Chen, Yunfei. "Performance of Ambient Backscatter Systems Using Reconfigurable Intelligent Surface." IEEE Communications Letters 25, no. 8 (August 2021): 2536–39. http://dx.doi.org/10.1109/lcomm.2021.3083110.

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29

Al-Nahhal, Ibrahim, Octavia A. Dobre, and Ertugrul Basar. "Reconfigurable Intelligent Surface-Assisted Uplink Sparse Code Multiple Access." IEEE Communications Letters 25, no. 6 (June 2021): 2058–62. http://dx.doi.org/10.1109/lcomm.2021.3058142.

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30

Yuan, Xiaojun, Ying-Jun Angela Zhang, Yuanming Shi, Wenjing Yan, and Hang Liu. "Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities." IEEE Wireless Communications 28, no. 2 (April 2021): 136–43. http://dx.doi.org/10.1109/mwc.001.2000256.

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31

Cai, Chang, Xiaojun Yuan, Wenjing Yan, Zhouyang Huang, Ying-Chang Liang, and Wei Zhang. "Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications." IEEE Wireless Communications Letters 10, no. 9 (September 2021): 1909–13. http://dx.doi.org/10.1109/lwc.2021.3085497.

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32

Zuo, Jiakuo, Yuanwei Liu, Liang Yang, Lingyang Song, and Ying-Chang Liang. "Reconfigurable Intelligent Surface Enhanced NOMA Assisted Backscatter Communication System." IEEE Transactions on Vehicular Technology 70, no. 7 (July 2021): 7261–66. http://dx.doi.org/10.1109/tvt.2021.3087582.

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33

Yang, Huiyuan, Xiaojun Yuan, Jun Fang, and Ying-Chang Liang. "Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer." IEEE Transactions on Signal Processing 69 (2021): 1347–61. http://dx.doi.org/10.1109/tsp.2021.3056906.

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34

Liu, Kunzan, Zijian Zhang, Linglong Dai, Shenheng Xu, and Fan Yang. "Active Reconfigurable Intelligent Surface: Fully-Connected or Sub-Connected?" IEEE Communications Letters 26, no. 1 (January 2022): 167–71. http://dx.doi.org/10.1109/lcomm.2021.3119696.

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35

Wu, Mingjiang, Xianfu Lei, Xiangyun Zhou, Yue Xiao, Xiaohu Tang, and Rose Hu. "Reconfigurable Intelligent Surface Assisted Spatial Modulation for Symbiotic Radio." IEEE Transactions on Vehicular Technology 70, no. 12 (December 2021): 12918–31. http://dx.doi.org/10.1109/tvt.2021.3121698.

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36

Chen, Changshan, and Cunhua Pan. "Blocking Probability in Obstructed Tunnels With Reconfigurable Intelligent Surface." IEEE Communications Letters 26, no. 2 (February 2022): 458–62. http://dx.doi.org/10.1109/lcomm.2021.3128529.

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37

Bie, Qingyu, Yuan Liu, Yuxin Wang, Xiaolan Zhao, and Xiu Yin Zhang. "Deployment Optimization of Reconfigurable Intelligent Surface for Relay Systems." IEEE Transactions on Green Communications and Networking 6, no. 1 (March 2022): 221–33. http://dx.doi.org/10.1109/tgcn.2022.3145026.

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38

Jiang, Tianqi, Lirong Niu, Xu Tang, Xiao Tang, and Daosen Zhai. "Aerial Reconfigurable Intelligent Surface-Assisted Secrecy: A Learning Approach." IEEE Communications Letters 26, no. 1 (January 2022): 18–22. http://dx.doi.org/10.1109/lcomm.2021.3123150.

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39

Lu, Yu, Mo Hao, and Richard Mackenzie. "Reconfigurable intelligent surface based hybrid precoding for THz communications." Intelligent and Converged Networks 3, no. 1 (March 2022): 103–18. http://dx.doi.org/10.23919/icn.2022.0003.

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40

Ramamoorthi, Yoghitha, Masashi Iwabuchi, Tomoki Murakami, Tomoaki Ogawa, and Yasushi Takatori. "Resource Allocation for Reconfigurable Intelligent Surface Assisted Dual Connectivity." Sensors 22, no. 15 (August 1, 2022): 5755. http://dx.doi.org/10.3390/s22155755.

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The next generation 6G wireless systems are envisioned to have higher reliability and capacity than the existing cellular systems. The reconfigurable intelligent surfaces (RISs)-assisted wireless networks are one of the promising solutions to control the wireless channel by altering the electromagnetic properties of the signal. The dual connectivity (DC) increases the per-user throughput by utilizing radio resources from two different base stations. In this work, we propose the RIS-assisted DC system to improve the per-user throughput of the users by utilizing resources from two base stations (BSs) in proximity via different RISs. Given an α−fair utility function, the joint resource allocation and the user scheduling of a RIS-assisted DC system is formulated as an optimization problem and the optimal user scheduling time fraction is derived. A heuristic is proposed to solve the formulated optimization problem with the derived optimal user scheduling time fractions. Exhaustive simulation results for coverage and throughput of the RIS-assisted DC system are presented with varying user, BS, blockage, and RIS densities for different fairness values. Further, we show that the proposed RIS-assisted DC system provides significant throughput gain of 52% and 48% in certain scenarios when compared to the existing benchmark and DC systems.
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41

Yang, Xi, Chao-Kai Wen, and Shi Jin. "MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems." IEEE Journal on Selected Areas in Communications 38, no. 8 (August 2020): 1777–92. http://dx.doi.org/10.1109/jsac.2020.3000822.

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42

Lin, Shaoe, Beixiong Zheng, George C. Alexandropoulos, Miaowen Wen, Fangjiong Chen, and Shahid Mumtaz. "Adaptive Transmission for Reconfigurable Intelligent Surface-Assisted OFDM Wireless Communications." IEEE Journal on Selected Areas in Communications 38, no. 11 (November 2020): 2653–65. http://dx.doi.org/10.1109/jsac.2020.3007038.

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43

Hu, Jingzhi, Hongliang Zhang, Boya Di, Lianlin Li, Kaigui Bian, Lingyang Song, Yonghui Li, Zhu Han, and H. Vincent Poor. "Reconfigurable Intelligent Surface Based RF Sensing: Design, Optimization, and Implementation." IEEE Journal on Selected Areas in Communications 38, no. 11 (November 2020): 2700–2716. http://dx.doi.org/10.1109/jsac.2020.3007041.

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44

Yigit, Zehra, Ertugrul Basar, and Ibrahim Altunbas. "Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems." IEEE Communications Letters 24, no. 12 (December 2020): 2946–50. http://dx.doi.org/10.1109/lcomm.2020.3014820.

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45

Boulogeorgos, Alexandros-Apostolos A., and Angeliki Alexiou. "Coverage Analysis of Reconfigurable Intelligent Surface Assisted THz Wireless Systems." IEEE Open Journal of Vehicular Technology 2 (2021): 94–110. http://dx.doi.org/10.1109/ojvt.2021.3051209.

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46

Zhao, Dan, Hancheng Lu, Yongqiang Gui, and Yazheng Wang. "Reconfigurable Intelligent Surface Integrated User-Centric Network: Architecture and Optimization." IEEE Communications Magazine 59, no. 8 (August 2021): 93–99. http://dx.doi.org/10.1109/mcom.101.2001138.

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47

Zhang, Jiayi, Hongyang Du, Qiang Sun, Bo Ai, and Derrick Wing Kwan Ng. "Physical Layer Security Enhancement With Reconfigurable Intelligent Surface-Aided Networks." IEEE Transactions on Information Forensics and Security 16 (2021): 3480–95. http://dx.doi.org/10.1109/tifs.2021.3083409.

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48

Al-Nahhal, Ibrahim, Octavia A. Dobre, Ertugrul Basar, Telex M. N. Ngatched, and Salama Ikki. "Reconfigurable Intelligent Surface Optimization for Uplink Sparse Code Multiple Access." IEEE Communications Letters 26, no. 1 (January 2022): 133–37. http://dx.doi.org/10.1109/lcomm.2021.3120560.

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49

Song, Wei, and Bing Guan. "Reconfigurable Intelligent Surface-Based Space-Time Block Transmission on 6G." Wireless Communications and Mobile Computing 2021 (December 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/5569006.

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Reconfigurable intelligent surface (RIS) is considered to be a new technology with great potential and is being studied extensively and deeply. And the application extension of STBC in the RIS-aided scheme provides a new train of thought for the research of channel coding. In this paper, we propose we extend the scheme of using the RIS to adjust the phase and reconfigure the reflected signal and propose the design of the RIS-aided QO-STBC scheme and the RIS-aided QO-STBC scheme with interference cancellation. Particularly in the RIS-aided QO-STBC scheme with interference cancellation, the design can achieve the transmission of the full rate and full diversity using an auxiliary reflection group to eliminate the influence of interference term. Also, the advantages and disadvantages of the schemes are analyzed in the paper, and the decoding algorithms with different complexity used in the proposed schemes are described. The simulation results show that the performance of the RIS-aided QO-STBC scheme with interference cancellation is better than that of the RIS-aided QO-STBC scheme and the RIS-aided Alamouti scheme by about 5 dB and 7 dB at 1 0 − 3 BER because of diversity gain and coding gain.
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50

Cai, Tenghao, Jia Zhang, Shihao Yan, Lili Meng, Jiande Sun, and Naofal Al-Dhahir. "Reconfigurable Intelligent Surface Aided Non-Orthogonal Unicast-Multicast Secure Transmission." IEEE Wireless Communications Letters 11, no. 3 (March 2022): 578–82. http://dx.doi.org/10.1109/lwc.2021.3136897.

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