可重構(gòu)智能表面輔助的聯(lián)合空間和碼索引調(diào)制通信系統(tǒng)

陳平平; 張?jiān)栖?/>
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doi:10.11999/JEIT240987

可重構(gòu)智能表面輔助的聯(lián)合空間和碼索引調(diào)制通信系統(tǒng)

doi: 10.11999/JEIT240987 cstr: 32379.14.JEIT240987

陳平平¹,
張?jiān)栖?/a>¹,

杜偉慶^2, ,

1.
福州大學(xué)先進(jìn)制造學(xué)院泉州 362251
2.
福州大學(xué)物理與信息工程學(xué)院福州 350108

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(62171135)

詳細(xì)信息

作者簡(jiǎn)介:
陳平平：男，教授，研究方向?yàn)闊o(wú)線通信、極化碼信道編譯碼、網(wǎng)絡(luò)編碼、多用戶接入

張?jiān)栖埃号T士生，研究方向?yàn)闊o(wú)線通信

杜偉慶：男，助理研究員，研究方向?yàn)闊o(wú)線通信、流媒體傳輸協(xié)議、視頻編解碼

通訊作者:
杜偉慶　dwq_qz@fzu.edu.cn

中圖分類號(hào): TN914.4
計(jì)量
- 文章訪問(wèn)數(shù): 268
- HTML全文瀏覽量: 96
- PDF下載量: 30
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2024-11-05
- 修回日期: 2025-02-11
- 網(wǎng)絡(luò)出版日期: 2025-02-25
- 刊出日期: 2025-02-28

Reconfigurable Intelligent Surface-Aided Joint Spatial and Code Index Modulation Communication System

1.
School of Advanced Manufacturing, Fuzhou University, Quanzhou 362251, China
2.
College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China

Funds: The National Natural Science Foundation of China (62171135)

摘要

摘要: 傳統(tǒng)的可重構(gòu)智能表面輔助的空間調(diào)制(RIS-SM)通信系統(tǒng)利用接收天線的索引來(lái)傳輸額外的信息比特，因此該系統(tǒng)數(shù)據(jù)傳輸速率的提升是以增加接收機(jī)天線數(shù)為代價(jià)。為了提高RIS-SM系統(tǒng)的數(shù)據(jù)傳輸速率和能量效率，該文提出可重構(gòu)智能表面輔助的聯(lián)合空間和碼索引調(diào)制(RIS-JSCIM)通信系統(tǒng)。該系統(tǒng)利用多元正交幅度調(diào)制(M-QAM)符號(hào)、空域的接收天線索引和碼索引傳輸信息比特。天線索引和碼索引傳輸?shù)男畔⒈忍夭恍枰哪芰?，因此RIS-JSCIM系統(tǒng)能夠獲得良好的能量效率。該文對(duì)比了RIS-JSCIM系統(tǒng)和其他系統(tǒng)的能量效率、系統(tǒng)復(fù)雜度和誤碼率性能。對(duì)比結(jié)果表明，所提RIS-JSCIM系統(tǒng)以增加一定復(fù)雜度為代價(jià)，能夠獲得相比于其他系統(tǒng)更優(yōu)異的能量效率和誤碼率性能。
- 可重構(gòu)智能表面 /
- 碼索引調(diào)制 /
- 空間調(diào)制 /
- 擴(kuò)頻 /
- 多元正交振幅調(diào)制
Abstract: Objective The rapid growth of wireless communication traffic is pushing existing networks toward greener, more energy-efficient solutions. Therefore, research into wireless communication systems that balance low complexity with high energy efficiency is of significant importance. Index Modulation (IM) technology, which offers advantages in low complexity and high energy efficiency, has emerged as a promising candidate for future systems. Reconfigurable Intelligent Surfaces (RIS) provide benefits such as reconfigurability, simple hardware, and low energy consumption, presenting new opportunities for wireless communication development. However, traditional RIS- aided Spatial Modulation (RIS-SM) and RIS-aided Code Index Modulation (RIS-CIM) systems use the index of the receiver antenna or code to transmit additional information bits. Therefore, the data transmission rates of RIS-SM systems improve at the cost of increasing the number of receiver antennas. To enhance the data transmission rates and energy efficiency of RIS-SM systems, this paper proposes a RIS-Aided Joint Spatial and Code Index Modulation (RIS-JSCIM) communication system. Methods The proposed system utilizes M-ary Quadrature Amplitude Modulation (M-QAM) symbols, spatial antenna index, and code index to transmit information bits. The information bits transmitted through the antenna and code indices of RIS-JSCIM do not consume energy, enabling RIS-JSCIM to achieve high energy efficiency. At the receiver, both Maximum Likelihood Detection (MLD) and low-complexity Greedy Detection (GD) algorithms are employed. The MLD algorithm, although high in complexity, provides excellent Bit Error Rate (BER) performance, while the GD algorithm offers a better trade-off between complexity and BER performance. Furthermore, this paper analyzes the energy efficiency and complexity of the proposed RIS-JSCIM system and uses Monte Carlo simulations to evaluate its BER performance. The performance metrics of the RIS-JSCIM system are also compared with those of other systems. The results show that, despite a slight increase in system complexity, the RIS-JSCIM system outperforms others in terms of energy efficiency and BER performance. Results and Discussions This paper compares the energy efficiency, system complexity, and BER performance of the RIS-JSCIM system with other systems. The comparison shows that, when the number of receiving antennas N_R=4 and the number of Walsh codes L=8, the energy efficiency of the RIS-JSCIM system improves by 60% and 6.67% compared to the RIS-SM and RIS-CIM systems, respectively (Table 2). The complexity of the RIS-JSCIM system with the GD algorithm is comparable to that of the GCIM-SM system and slightly higher than that of the RIS-CIM system (Table 3). Simulation results indicate that, at BER=10^–5, the RIS-JSCIM system achieves a performance gain of over 6 dB compared to the RIS-CIM system (Fig. 5). As the number of RIS units N increases, both the RIS-JSCIM and RIS-CIM systems show significant improvements in BER performance, with the RIS-JSCIM system outperforming the RIS-CIM system at high Signal-to-Noise Ratios (SNR). For example, at BER=10^–5 and N=128, the RIS-JSCIM system offers a 5 dB SNR gain over the RIS-CIM system (Fig. 6). Similarly, at high SNR, the BER performance of the RIS-JSCIM system consistently outperforms that of the RIS-SM system (Fig. 7). Conclusions The RIS-JSCIM system utilizes M-QAM symbols to transmit information bits and employs the receiver antenna and code indices to convey additional information. Both the MLD and GD algorithms are introduced for recovering the transmitted bits. The MLD algorithm explores all possible combinations of receiver antenna indices, code indices, and M-QAM symbols, offering improved BER performance at the cost of increased complexity. In contrast, the GD algorithm performs separate detection of antenna indices, code indices, and M-QAM symbols, providing a favorable trade-off between complexity and BER performance. The RIS-JSCIM system transmits receiver antenna index and code index bits without consuming energy, resulting in high energy efficiency. When the number of receiving antennas N_R=4 and the number of Walsh codes L=8, the energy efficiency of the RIS-JSCIM system improves by 60% and 6.67% compared to the RIS-SM and RIS-CIM systems, respectively. Moreover, when the BER=10^–5 and N=128, the RIS-JSCIM system offers a 5 dB SNR gain over the RIS-CIM system.
- Reconfigurable Intelligent Surface (RIS) /
- Code Index Modulation (CIM) /
- Spatial modulation (SM) /
- Spread spectrum /
- M-ary Quadrature Amplitude Modulation (M-QAM)

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圖 1 RIS-JSCIM系統(tǒng)的發(fā)射機(jī)結(jié)構(gòu)

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圖 2 RIS-JSCIM系統(tǒng)的接收機(jī)結(jié)構(gòu)

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圖 3 本文所提RIS-JSCIM系統(tǒng)在不同碼索引比特?cái)?shù)和M-QAM調(diào)制比特?cái)?shù)下的誤碼率性能

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圖 4 本文所提RIS-JSCIM系統(tǒng)MLD算法和GD算法的誤碼率性能對(duì)比

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圖 5 所提RIS-JSCIM系統(tǒng)和其他系統(tǒng)的誤碼率性能對(duì)比

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圖 6 本文所提RIS-JSCIM系統(tǒng)和RIS-CIM系統(tǒng)在不同RIS單元數(shù)下的誤碼率性能

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圖 7 本文所提RIS-JSCIM系統(tǒng)和RIS-SM系統(tǒng)在不同RIS單元數(shù)下的誤碼率性能

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表 1 本文所提RIS-JSCIM與其他方案的主要差異對(duì)比

系統(tǒng)	天線索引	碼索引	RIS
RIS-JSCIM	√	√	√
GCIM-SM ^[10]	√	×	×
RIS-AP^[14]	×	×	√
RIS-SM ^[15]	√	×	√
RIS-CIM ^[20]	×	√	√

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表 2 本文所提RIS-JSCIM與RIS-SM, RIS-CIM方案的能量效率對(duì)比(%)

系統(tǒng)	${N_{\text{R}}} = 4,_{}^{}L = 4$	${N_{\text{R}}} = 8,_{}^{}L = 4$	${N_{\text{R}}} = 16,_{}^{}L = 4$	${N_{\text{R}}} = 4,_{}^{}L = 8$	${N_{\text{R}}} = 4,_{}^{}L = 16$
RIS-JSCIM	75	78	80	80	83
RIS-SM ^[15]	50	60	67	50	50
RIS-CIM ^[20]	67	67	67	75	80

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表 3 本文所提RIS-JSCIM的兩種檢測(cè)方案與GCIM-SM, RIS-CIM方案的復(fù)雜度對(duì)比

系統(tǒng)	${N_{\text{R}}} = 2,L = 4,M = 4$	${N_{\text{R}}} = 2,L = 8,M = 8$	${N_{\text{R}}} = 2,L = 16,M = 4$
RIS-JSCIM (GD)	512	896	1280
RIS-JSCIM (MLD)	8256	65600	131136
GCIM-SM ^[10]	512	896	1280
RIS-CIM ^[20]	448	862	1216

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