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学者姓名：陈平平
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Abstract ：
In this paper, we propose a deep learning-based sparse code multiple access multi-user multi-carrier differential chaos shift keying (DL-SCMA-MU-MC-DCSK) system, for the sake of improving the spectrum efficiency (SE) and bit-to-error (BER) performance. In the proposed system, the transmitted symbols of each user are mapped to complex codewords which are randomly generated from a complex normal distribution, and the codewords overlap on sub-carriers in a non-orthogonal way for the sparsity. Subsequently, the real and imaginary parts of the resultant complex codewords are modulated by the chaotic signal and its Hilbert-transform version, respectively. At the receiver, after correlation demodulation, a deep learning-based decorder consisting of deep neural network (DNN) is adopted to recover the transmitted data. We also compare the SE, energy efficiency (EE), and complexity with benchmark systems. Simulation results demonstrate the superiority of the proposed system in terms of bit-error-rate (BER) performance. Therefore, the proposed DL-SCMA-MU-MC-DCSK system represents a remarkable solution for low-power and cost-effective short-range wireless communication. IEEE
Keyword ：
Chaotic communication Chaotic communication Codes Codes Decoding Decoding deep neural network deep neural network multi-carrier differential chaos shift keying multi-carrier differential chaos shift keying OFDM OFDM Receivers Receivers sparse code multiple access sparse code multiple access Symbols Symbols Wireless communication Wireless communication
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| GB/T 7714 | Duan, C. , Fang, Y. , Ma, H. et al. An Enhanced Multi-User Differential Chaos Shift Keying System with Intelligent Sparse Code Multiple Access [J]. | IEEE Transactions on Vehicular Technology , 2024 : 1-5 . |
| MLA | Duan, C. et al. "An Enhanced Multi-User Differential Chaos Shift Keying System with Intelligent Sparse Code Multiple Access" . | IEEE Transactions on Vehicular Technology (2024) : 1-5 . |
| APA | Duan, C. , Fang, Y. , Ma, H. , Chen, P. , Dou, Q. . An Enhanced Multi-User Differential Chaos Shift Keying System with Intelligent Sparse Code Multiple Access . | IEEE Transactions on Vehicular Technology , 2024 , 1-5 . |
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In view of the problems of high demand of computation offloading in vehicular networks and the random⁃ ness of topology variation of vehicular networks, this paper proposes a vehicular multi-hop clustering scheme based on neighbor following and investigates its stability by multiple indicators. Existing research offers various vehicular clustering schemes, but they suffer from issues such as single indicator, being limited to a single hop or fixed number of hops, low clustering efficiency, and lacking a mechanism for cluster head replacement. As the neighbor following strategy has better stability and higher clustering efficiency, in the scheme designed in this paper, vehicles should follow the most stable vehi⁃ cle based on the comprehensive indicators within neighboring nodes. The de-ringing and pruning algorithms are used to standardize and flatten the following structure of vehicles, forming a more stable vehicular cluster. The master-slave cluster header and the cluster maintenance mechanism are employed to enhance the robustness of vehicular cluster. Simulation re⁃ sults show that the proposed algorithm outperforms existing methods in terms of cluster stability and clustering efficiency. © 2024 Chinese Institute of Electronics. All rights reserved.
Keyword ：
Clustering algorithms Clustering algorithms Efficiency Efficiency Stability Stability
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| GB/T 7714 | Lin, Zhi-Jian , Wu, Wen-Hao , Chen, Xiao-Pei et al. Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks [J]. | Acta Electronica Sinica , 2024 , 52 (4) : 1260-1268 . |
| MLA | Lin, Zhi-Jian et al. "Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks" . | Acta Electronica Sinica 52 . 4 (2024) : 1260-1268 . |
| APA | Lin, Zhi-Jian , Wu, Wen-Hao , Chen, Xiao-Pei , Zeng, Ze-Xiong , Lin, Yong-Hang , Chen, Ping-Ping . Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks . | Acta Electronica Sinica , 2024 , 52 (4) , 1260-1268 . |
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In this paper, we propose a two-user polar-coded physical-layer network coding (TU-PC-PNC) scheme for the Gaussian multiple access channel (GMAC) to enhance the transmission reliability. We first investigate the characteristics of polar encoding and derive the concatenated codeword structure, by which we can implement the message exclusive OR (XOR)-based PNC via code construction and improve the channel polarization effect. The PNC-aided decoding rule based on the concatenated codeword is then invented to compute the initial messages for recovery. In addition, we introduce the joint optimization framework by Monte Carlo-based method, which can be used to optimize the polar code and power allocation with maximized sum user rate. The capacity analysis of the bit-channels and simulation results show that the proposed TU-PC-PNC can significantly outperform the benchmark scheme by more than 1 dB under the GMAC IEEE
Keyword ：
Decoding Decoding Encoding Encoding Gaussian multiple access channel Gaussian multiple access channel Network coding Network coding Optimization Optimization physical layer network coding physical layer network coding Polar codes Polar codes polar coding polar coding Receivers Receivers Transmitters Transmitters
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| GB/T 7714 | Qiu, Y. , Xie, Z. , Kang, P. et al. Polar-coded Gaussian Multiple-Access Channels with Physical-Layer Network Coding [J]. | IEEE Transactions on Vehicular Technology , 2024 , 73 (6) : 1-6 . |
| MLA | Qiu, Y. et al. "Polar-coded Gaussian Multiple-Access Channels with Physical-Layer Network Coding" . | IEEE Transactions on Vehicular Technology 73 . 6 (2024) : 1-6 . |
| APA | Qiu, Y. , Xie, Z. , Kang, P. , Chen, P. , Fang, Y. . Polar-coded Gaussian Multiple-Access Channels with Physical-Layer Network Coding . | IEEE Transactions on Vehicular Technology , 2024 , 73 (6) , 1-6 . |
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Vehicular fog computing (VFC) that supports inter-vehicular task offloading emerges as a promising complement to handle the explosive growth of computation-intensive tasks in Intelligent Transportation Systems (ITS). Nonetheless, as the fog access points (F-APs) in crowed areas are often overloaded, the conventional single F-AP VFC may become incompetent and energy-inefficient. To tackle the issue, a novel scheme of non-orthogonal multiple access (NOMA)-enabled multi-F-AP VFC with partial offloading is proposed in this work. However, the corresponding energy minimization turns out to be a highly non-trivial non-linear mixed-integer programming problem. To this end, the optimal power allocation is derived by exploiting monotonicity while good task splitting ratio and user association are found through successive convex approximation (SCA)-based interior-point method and game theoretic approach, respectively. Extensive simulations based on MATLAB show that, in the considered scenarios, the proposed scheme can fulfill a more balanced offloading and better exploit the available computing resources, thereby leading to an approximately 30% energy consumption reduction compared to the baselines.
Keyword ：
energy consumption energy consumption Non-orthogonal multiple access (NOMA) Non-orthogonal multiple access (NOMA) partial offloading partial offloading vehicular fog computing (VFC) vehicular fog computing (VFC)
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| GB/T 7714 | Lin, Zhijian , Chen, Xiaopei , He, Xiaofan et al. Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 . |
| MLA | Lin, Zhijian et al. "Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024) . |
| APA | Lin, Zhijian , Chen, Xiaopei , He, Xiaofan , Tian, Daxin , Zhang, Qingsong , Chen, Pingping . Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2024 . |
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提出了一种基于低密度奇偶校验(LDPC)编解码作为信道编码方案的LoRa通信系统。经过权衡利用LDPC码编码以及LLR-BP解码替代汉明码，在不改变LoRa核心调制技术和参数定义的前提下，略去交织过程，并使系统具备了更好的误码性能，灵活支持较长的数据包的传输。仿真结果表明，在同一编码率下，当误码率(Bit Error Rate, BER)水平为10~(-3)时，基于LDPC编解码作为信道编码方案的LoRa通信系统相较于传统系统信噪比性能能够放宽1.5 dB左右，该结果对于LoRa系统的各个扩频因子(SF)均成立，具有一定的参考价值。
Keyword ：
Chirp调制 Chirp调制 LLR-BP算法 LLR-BP算法 LoRa技术 LoRa技术 低密度奇偶校验编码 低密度奇偶校验编码
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| GB/T 7714 | 张恩齐 , 林俊鹏 , 陈平平 . 采用LDPC信道编码方案的LoRa通信系统 [J]. | 无线电工程 , 2024 , 54 (04) : 1019-1025 . |
| MLA | 张恩齐 et al. "采用LDPC信道编码方案的LoRa通信系统" . | 无线电工程 54 . 04 (2024) : 1019-1025 . |
| APA | 张恩齐 , 林俊鹏 , 陈平平 . 采用LDPC信道编码方案的LoRa通信系统 . | 无线电工程 , 2024 , 54 (04) , 1019-1025 . |
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分层调制是一种根据发送信号的相对重要性对数据流进行不等保护的关键技术。针对双向中继信道下基于分层调制技术的PNC系统进行研究。当系统采用均匀的输入分布时会产生成形损耗，由于传统的分布匹配器的非线性成形编译码过程不适用于PNC系统，因此提出一种线性概率成形码本方案，以确保其成形编译码过程是线性的，进一步推导了成形系统可达速率表达式。仿真结果表明，所提出的线性成形方案在中低SNR具有0.3 dB的成形增益。
Keyword ：
分层调制 分层调制 概率成形 概率成形 物理层网络编码 物理层网络编码
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| GB/T 7714 | 林宇晨 , 谢肇鹏 , 陈平平 . 基于分层调制的物理层网络编码系统概率成形设计 [J]. | 移动通信 , 2024 , 48 (05) : 21-26,36 . |
| MLA | 林宇晨 et al. "基于分层调制的物理层网络编码系统概率成形设计" . | 移动通信 48 . 05 (2024) : 21-26,36 . |
| APA | 林宇晨 , 谢肇鹏 , 陈平平 . 基于分层调制的物理层网络编码系统概率成形设计 . | 移动通信 , 2024 , 48 (05) , 21-26,36 . |
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针对车联网计算卸载需求量大及车辆网络拓扑变化随机性强的问题，本文提出一种基于邻域跟随的车辆多跳分簇方法，并采取多指标综合加权的方式研究其稳定性特征. 现有针对车辆分簇的研究方案普遍存在指标单一化、分簇机制局限于单跳或固定跳数、分簇效率低及缺少簇头替换机制等问题. 鉴于邻域跟随策略稳定性较优且分簇效率较高等特性，本文提出车辆基于邻居节点内综合指标最优准则选择稳定性最好的节点跟随方案，通过去环和剪枝算法使得车辆的跟随结构规范且扁平化，进而形成一个稳定性更高的车辆簇，并利用主从簇头和簇维护机制增强车辆簇的鲁棒性. 仿真结果表明，与现有的车辆分簇方法相比，所提算法在簇稳定性和分簇效率上均具有较好的性能.
Keyword ：
分簇效率 分簇效率 多跳分簇 多跳分簇 状态转移 状态转移 组网稳定性 组网稳定性 车联网 车联网 邻域跟随 邻域跟随
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| GB/T 7714 | 林志坚 , 吴文浩 , 陈小培 et al. 基于邻域跟随的车联网多跳分簇稳定性研究 [J]. | 电子学报 , 2024 . |
| MLA | 林志坚 et al. "基于邻域跟随的车联网多跳分簇稳定性研究" . | 电子学报 (2024) . |
| APA | 林志坚 , 吴文浩 , 陈小培 , 曾泽雄 , 林永航 , 陈平平 . 基于邻域跟随的车联网多跳分簇稳定性研究 . | 电子学报 , 2024 . |
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为了提高压缩感知重构算法的成功率与重构精度，该文提出基于Dice前向预测的正交正则回溯匹配追踪算法(DLARBOMP)。在该算法中，首先从匹配准则与预选阶段原子选取的角度，利用Dice系数代替原子内积计算相关度，保留原始信号信息的特性，以此选择与残差最匹配的原子，提高算法的重构精度。同时，针对信号重构过程回溯算法的时间过长问题，在每次原子迭代过程中，该文利用正则化选择多个原子而非单个原子，实现重构精度与重构时间的平衡。最后，通过稀疏1维信号与2维图像信号重构的实验结果，显示了所提DLARBOMP算法在1维信号重构时兼顾了性能与效率，在2维压缩图像信号重构时提高其峰值信噪比(PSNR)，优于正交匹配追踪(OMP)及其最新改进贪婪类算法。
Keyword ：
Dice系数 Dice系数 信号重构 信号重构 压缩感知 压缩感知 正则回溯 正则回溯 贪婪类算法 贪婪类算法
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| GB/T 7714 | 陈平平 , 陈家辉 , 王宣达 et al. Dice系数前向预测的快速正交正则回溯匹配追踪算法 [J]. | 电子与信息学报 , 2024 , 46 (04) : 1488-1498 . |
| MLA | 陈平平 et al. "Dice系数前向预测的快速正交正则回溯匹配追踪算法" . | 电子与信息学报 46 . 04 (2024) : 1488-1498 . |
| APA | 陈平平 , 陈家辉 , 王宣达 , 方毅 , 王锋 . Dice系数前向预测的快速正交正则回溯匹配追踪算法 . | 电子与信息学报 , 2024 , 46 (04) , 1488-1498 . |
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受隧道磁阻比（Tunnel Magneto Resistance, TMR）下降、工艺偏差和热波动等因素影响，先进工艺节点（亚25 nm）下的自旋转移力矩磁随机存储器（Spin Transfer Torque Magnetoresistive Random Access Memory, STT-MRAM）的读取裕度降低，读写正确率下降。纠错码（Error Correction Codes, ECC）技术方案能有效提升STT-MRAM读取可靠性。但是，常见的一位硬判决量化器无法发挥多位量化软判决ECC编解码算法的优势，而基于模数转换器的软判决量化器在实现上又要以牺牲面积和功耗为代价。提出的面向STT-MRAM的两位量化器采用全裕度灵敏放大器（Sensitive Amplifier, SA）和电阻量化判决门限，显著降低了量化器的电路复杂度和读写错误率。结果表明，在TMR和低读取裕度条件下，基于提出的两位量化器和极化码（Polar）编码的ECC算法能实现优于基于一位量化器的里德-索洛蒙博斯-乔赫里-霍克文黑姆码（Bose, Chaudhuri&Hocquenghem, BCH）编解码方案的输出帧错误率（Frame Error Rate, FER）。此外，本文提出在STT-MRAM级联信道模型中考虑实际SA引入的读判据错误，用于准确评估读取裕度对读正确率造成的影响。结果表明，基于全裕度SA的两位电阻量化方案能够显著提升判决器的有效读取裕度，减小SA引入的读判据错误，在TMR≤90%时，实现比采用一位硬判决量化器的BCH码平均低47%的输出FER。
Keyword ：
信道模型 信道模型 信道量化器 信道量化器 灵敏放大器 灵敏放大器 纠错编码 纠错编码 自旋转移力矩磁随机存储器 自旋转移力矩磁随机存储器
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| GB/T 7714 | 赖怡桐 , 唐慧琴 , 陈平平 et al. 基于全裕度SA的高读可靠性STT-MRAM两位量化器设计 [J]. | 微电子学与计算机 , 2024 , (02) : 108-114 . |
| MLA | 赖怡桐 et al. "基于全裕度SA的高读可靠性STT-MRAM两位量化器设计" . | 微电子学与计算机 02 (2024) : 108-114 . |
| APA | 赖怡桐 , 唐慧琴 , 陈平平 , 王少昊 . 基于全裕度SA的高读可靠性STT-MRAM两位量化器设计 . | 微电子学与计算机 , 2024 , (02) , 108-114 . |
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随着计算机视觉广泛渗透到生产和生活中的各个领域,场景文本识别面临着愈发复杂的考验.纯视觉的场景文本识别模型侧重于构建有效的视觉特征提取网络,而缺乏对文本语义的理解,因此在处理遮挡或模糊文本图像时常遇到瓶颈.针对该问题,提出了一种利用语义信息辅助识别任务的场景文本识别算法.首先通过Transformer视觉编码器ViT提取特征,其次利用双分支结构的特征交互模块增强视觉特征,接着联合动态排列语言模型实现自回归解码.所提出的算法充分利用视觉特征和语义特征,有效地减少了遮挡等复杂文本的识别难度,实现了对场景文本的鲁棒性识别.实验结果表明,所提出的算法在 6个基准数据集上实现了96.65%的平均识别精度,展现了显著的竞争力.
Keyword ：
动态排列语言模型 动态排列语言模型 场景文本识别 场景文本识别 深度学习 深度学习 自回归 自回归
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| GB/T 7714 | 王嘉宝 , 陈宏辉 , 陈平平 . 基于动态排列自回归的场景文本识别网络 [J]. | 信息技术与信息化 , 2024 , (5) : 5-9 . |
| MLA | 王嘉宝 et al. "基于动态排列自回归的场景文本识别网络" . | 信息技术与信息化 5 (2024) : 5-9 . |
| APA | 王嘉宝 , 陈宏辉 , 陈平平 . 基于动态排列自回归的场景文本识别网络 . | 信息技术与信息化 , 2024 , (5) , 5-9 . |
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