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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Wei, Renlong Xue, Qing Ma, Shaodan Xu, Yongjun Yan, Li Fang, Xuming Chongqing University of Posts and Telecommunications School of Communication and Information Engineering Chongqing400065 China University of Macau State Key Laboratory of Internet of Things for Smart City China University of Macau Department of Electrical and Computer Engineering China Southwest Jiaotong University Key Lab of Information Coding & Transmission Chengdu610031 China

ISBN: (纸本)9781665459754

Intelligent reflecting surface (IRS) has been considered as a promising technology to alleviate the blockage effect and enhance coverage in millimeter wave (mmWave) communication. To explore the impact of IRS on the performance of mmWave communication, we investigate a multi-IRS assisted mmWave communication network and formulate a sum rate maximization problem by jointly optimizing the active and passive beamforming and the set of IRSs for assistance. The optimization problem is intractable due to the lack of convexity of the objective function and the binary nature of the IRS selection variables. To tackle the complex non-convex problem, an alternating iterative approach is proposed. In particular, utilizing the fractional programming method to optimize the active and passive beamforming and the optimization of IRS selection is solved by enumerating. Simulation results demonstrate the performance gain of our proposed approach. © 2022 IEEE.

关键词： Beamforming

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Impact of UE Hardware Impairments on Uplink Spectral Efficiency of Cell-Free Massive MIMO Network

Impact of UE Hardware Impairments on Uplink Spectral Efficie...

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IEEE Conference on Wireless Communications and Networking

作者： Ning Li Pingzhi Fan Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu China

In this paper, the Cell-Free (CF) massive MIMO (mMIMO) network with user equipment (UE) hardware impairments in spatially correlated channels is investigated. By using the established generic UE hardware impairment model, a minimum mean-squared error (MMSE) channel estimator is derived. Then, a lower bound on the uplink ergodic capacity is derived for CF mMIMO network with UE hardware impairments, and an optimal receive combining vector is also derived for obtaining maximum instantaneous signal-to-interference-and-noise ratio (SINR). Considering the computational complexity of the MMSE combining, the regularized zero-forcing (RZF) and maximum ratio (MR) combining schemes are presented as alternatives. Our results show that the RZF combining scheme has little loss in sum spectral efficiency (SE) compared to MMSE combining under different hardware impairments. Based on the use-and-then-forget (UatF) bound, a new closed-form uplink SE expression with MMSE estimator is derived for MR combining. Finally, we evaluate the tightness of the capacity bounds under different hardware impairments.

关键词： Spectral efficiency Channel capacity Channel estimation Massive MIMO Interference Hardware Uplink

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Feedback coding of URLLC in Vehicle-to-Everything (V2X) Communications and Its Secrecy Analysis

Feedback Coding of URLLC in Vehicle-to-Everything (V2X) Comm...

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IEEE Conference on Wireless Communications and Networking

作者： Jia Wang Guangfen Xie Dengfeng Xia Bin Dai School of Information Science and Technology Southwest Jiaotong University Chengdu China Chongqing Key Laboratory of Mobile Communications Technology Chongqing China Peng Cheng Laboratory Shenzhen China Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

In the literature, channel feedback has already been shown to be an effective way to realize ultra-reliable and low-latency communication (URLLC). In this paper, we aim to extend the point-to-point Schalkwijk-Kailath (SK)-type noisy feedback scheme to Vehicle-to-Everything (V2X) communication scenario. Although enhanced mobile broadband (eMBB) and URLLC services are considered as key enablers for V2X communication, here we mainly focus on URLLC service due to the urgency nature of the practical transportation systems. To be specific, based on the SK-type noisy feedback scheme, we propose a finite blocklength feedback coding scheme for URLLC message by mitigating the interference of eMBB message through dirty paper coding. Then, we explore security performance of the proposed scheme by calculating the information leakage to the eavesdropper. Numerical results show that the blocklength of the proposed scheme is significantly short for the desired decoding error probability, and the proposed scheme almost meets the physical layer security requirement for some cases. The study in this paper provides a new method for the secure URLLC in V2X communication.

关键词： Error probability Transportation Interference Ultra reliable low latency communication information leakage Encoding Decoding

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Slotted ALOHA-based URA Scheme with Index Modulation for Short Block Length

Slotted ALOHA-based URA Scheme with Index Modulation for Sho...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Linjie Yang Pingzhi Fan Jingqiu Gao Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu China

Unsourced random access (URA) has become a promising technique to support massive connectivity scenarios. This work proposes a slotted ALOHA-based URA scheme with index modulation for short packet transmission under Multiple-Input Multiple-Output (MIMO) channel. In our scheme, the short data packet of each active user is divided into three parts, where the first two parts are encoded by compressed sensing (CS) and the low-density-parity-check (LDPC) code, respectively, while the third part is the index of the slot where the encoded packet is transmitted. The data decoding is implemented slot-by-slot at the base station (BS). To this end, a hard decision (HD)-based decoder, including the index modulation demodulation, CS decoding, and LDPC decoding, is developed. Simulation results reveal that our proposal outperforms the counterparts significantly.

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Low Probability of Intercept Signal Design for MIMO Integrated Sensing and Communication Systems

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IEEE Transactions on Communications 2025年

作者： Shi, Qiao Wang, Yujie Zhou, Zhengchun Cui, Guolong Fan, Pingzhi The School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China The School of Mathematics Southwest Jiaotong University Chengdu611756 China The School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu611756 China

In this paper, aimed to protect the transmitted waveform from being intercepted by advanced electronic support measure systems, a low probability of intercept (LPI) signal design, taking into account the transmitted waveform and precoder of communication users, is developed for multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems. The considered system simultaneously senses multiple targets and communicates with multiple users in the presence of various interferences. Specifically, based on the analysis of cyclic spectrum, the desired LPI performance is achieved by minimizing the cyclic frequency sidelobe level. Moreover, sensing and communication requirements are satisfied by respectively maximizing the minimum signal-to-interference-plus-noise ratio (SINR) of targets and constraining the received SINR lower bound of each user. Energy budget and peak-to-average power ratio constraints are introduced to meet the practical resources limits, while similarity constraint is constructed to further ensure the target sensing. Next, in order to solve the formulated nonconvex problem, an efficient iterative algorithm is proposed based on the idea of successive convex approximation (SCA). Finally, simulation results demonstrate the effectiveness of our proposed scheme and display the trade-off among LPI, sensing and communication performance. © 1972-2012 IEEE. All rights reserved.

关键词： Budget control

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IEEE Conference on Vehicular Technology (VTC)

作者： Ning Li Pingzhi Fan Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu China

This paper investigates the effect of low-resolution analog-to-digital converters (ADCs) on the centralized cell-free massive MIMO network over spatially correlated fading channels. The minimum mean squared error (MMSE) estimator is employed to acquire the channel state information through the established ADC quantization model. Our results show that both imperfect ADCs and pilot contamination will cause error floors. Then, the optimal receive combining is established to maximize the uplink ergodic channel capacity. Furthermore, a closed-form expression for the achievable uplink spectral efficiency (SE) is obtained with the help of maximum ratio (MR) combining, which provides important insights into how finite-resolution ADCs affect the centralized cell-free massive MIMO. Simulation results show that the SE of MR combining rapidly saturates with the increase of ADC quantization bits, while MMSE combining requires more quantization bits to further improve the SE compared with ideal ADCs.

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A Raptor Code Based Unsourced Random Access with Coordinated Tree-Raptor Decoding Algorithm

A Raptor Code Based Unsourced Random Access with Coordinated...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Dexia Jiang Pingzhi Fan Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu China

The widespread applications of the Internet of Things (IoT) have brought about explosive growth in the number of IoT devices. A new grant-free random access paradigm called unsourced random access (URA) provides a new direction for massive Machine Type Communication (mMTC), especially when users do not need to identify themselves. This paper presents a Raptor code based URA over additive white Gaussian noise (AWGN) channels. In this scheme, the messages of each active user are encoded with fixed-rate standardized RaptorQ code to generate a block of coded symbols, followed by tree code and sparse regression code (SPARCs). Furthermore, at receiver, a coordinated tree-Raptor decoding algorithm is designed to realize the coded fragments stitching and to further enhance the transmission reliability. Simulation results show that the new scheme performs well, especially when the number of active users is large, compared with the related URA schemes.

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Waveform Designs for Integrated Sensing and Communication with Low Probability of Intercept Based on the Cyclic Spectrum

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IEEE Transactions on Vehicular Technology 2025年

作者： Shi, Qiao Wang, Yujie Zhou, Zhengchun Liu, Xinyu Lee, Inkyu Fan, Pingzhi Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Southwest Jiaotong University School of Mathematics Chengdu611756 China Korea University School of Electrical Engineering Seoul02841 Korea Republic of Southwest Jiaotong University Key Lab of Information Coding and Transmission Chengdu611756 China

In this paper, we investigate a waveform design for integrated sensing and communication (ISAC) systems which simultaneously sense the target and communicate with the user. In this design, we apply the concept of low probability of intercept (LPI) to the waveform design for resisting intercept by the electronic support measure (ESM) system. Different from the conventional LPI waveform design strategies, the cyclic frequency sidelobe level (CFSL) is adopted as the LPI performance metric. We also employ the integrated sidelobe level (ISL) optimization to improve the sensing performance. Consequently, a new LPI ISAC waveform design is proposed with the objective of minimizing the weighted sum of the CFSL and ISL under the constraints of energy budget and peak-to-average-power ratio (PAPR), as well as the similarity constraint to assure the communication quality. Then, to further enhance the sensing capability, a joint design of the transmit waveform and radar receive filter is proposed. As the formulated schemes require solving high-dimensional non-convex problems, efficient algorithms based on the majorization-minimization (MM) and alternating iteration are respectively developed. Finally, the effectiveness of the proposed schemes is verified by simulation experiments. © 1967-2012 IEEE.

关键词： Budget control

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Signal-To-Noise Ratio Based Physical Layer Authentication in UAV Communications

Signal-To-Noise Ratio Based Physical Layer Authentication in...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Yi Zhou Zheng Ma Heng Liu Phee Lep Yeoh Yonghui Li Branka Vucetic Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China School of Science Technology and Engineering University of the Sunshine Coast Australia School of Electrical and Information Engineering University of Sydney Australia

In this paper, we present a novel unmanned aerial vehicle (UAV) aided physical layer authentication (PLA) frame-work to detect the origin of the received signal between a legitimate transmitter and a malicious adversary, based on the physical properties of channel characteristics and geographical locations. First, we model the authentication hypothesis test at the UAV based on the signal-to-noise ratio (SNR) of each transmission and analyze the probability density functions (PDFs) of SNR differences. Then, we derive the explicit expressions of false alarm probability (FAP) and miss detection probability (MDP), both of which depict the occurrence of detection error. Next, with the aim of minimizing the MDP subject to a given FAP constraint, the detection threshold and UAV deployment are jointly optimized. Numerical results verify the accuracy of our derived expressions and demonstrate the impact of distribution rate and adversary’s location on the detection performance. Moreover, numerical results also highlight the superiority of our proposed solution using SNR differences over benchmark strategy in high-rise urban environment.

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Sum-Capacity for Symmetric Finite-State Gaussian Multiple Access Channel with Delayed Feedback

Sum-Capacity for Symmetric Finite-State Gaussian Multiple Ac...

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IEEE (first ITW conference of the year) information Theory Workshop (ITW)

作者： Dengfeng Xia Han Deng Peng Xu Bin Dai School of Information Science and Technology Southwest Jiaotong University Chengdu China Chongqing Key Laboratory of Mobile Communications Technology Chongqing China Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350348934

ISBN: (纸本)9798350348941

In this paper, the sum-capacity of the symmetric finite-state Gaussian multiple access channel (FS-GMAC) with delayed feedback is determined, where the channel state is perfectly obtained by the receiver, and the receiver sends the state and channel output back to the two transmitters through two noiseless feedback channel after same time delay. We first propose a linear-feedback coding scheme for this model, which is based on multiplexing coding and a variant of Schalkwijk- Kailath scheme, and derive the corresponding achievable sum-rate. Then, by establishing an upper bound on the sum-capacity of the same model, we further show that the proposed scheme is capacity-achieving.

关键词： Multiplexing Upper bound Transmitters Delay effects Conferences Receivers Encoding

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