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Weighted sum power maximization for STAR-RIS-aided SWIPT systems with nonlinear energy harvesting

Science China(information Sciences) 2024年第10期67卷 343-358页

作者： Weiping SHI Cunhua PAN Feng SHU Yongpeng WU Jiangzhou WANG Yongqiang BAO Jin TIAN School of Network and Communication Nanjing Vocational College of Information Technology National Mobile Communications Research Laboratory Southeast University School of Information and Communication Engineering Hainan University School of Electronic and Optical Engineering Nanjing University of Science and Technology Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University School of Engineering University of Kent School of Information and Communication Engineering Nanjing Institute of Technology Engineering School of Networks and Telecommunications Jinling Institute of Technology

The conventional reconfigurable intelligent surface(RIS) is limited to reflecting incident signals,thereby imposing constraints on the placement of the transmitter and receiver, which hinders achieving comprehensive signal coverage across an entire area. This paper investigates a simultaneously transmitting and reflecting(STAR)-RIS-aided simultaneous wireless information and power transfer(SWIPT) system with a nonlinear energy harvesting model under three different RIS transmission protocols: energy splitting(ES),time switching(TS), and mode switching(MS). The objective of this paper is to maximize the weighted sum power(WSP) of all energy harvesting receivers(EHRs) while ensuring fairness in the collected power among them. This is achieved by jointly optimizing the transmit beamforming at the base station(BS)and the transmission and reflection coefficients at the STAR-RIS, subject to rate constraints for information decoding receivers(IDRs), transmit power constraint at the BS, and coefficient constraints of each element at the STAR-RIS corresponding to the three protocols. Solving this optimization problem poses challenges because of the complicated objective function and numerous coupled optimization variables of the ES STAR-RIS. To address this complexity, an efficient alternating optimization(AO) approach is proposed as an iterative solution method that achieves suboptimal results. The AO algorithm is then extended to MS STAR-RIS and TS STAR-RIS. Specifically, for MS STRA-RIS, binary constraints in the STAR-RIS coefficient optimization subproblem are handled using the first-order approximation technique along with the penalty function method. For TS STAR-RIS, apart from optimizing BS transmit beamforming and STAR-RIS coefficients subproblems, the transmission and reflection time allocation of STAR-RIS also needs *** findings demonstrate that compared to conventional RIS-aided systems, utilizing three different protocols in a STAR-RIS-aided sy

关键词： STAR-RIS beamforming SWIPT alternating optimization nonlinear energy harvesting

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Two efficient beamforming methods for hybrid IRS-aided AF relay wireless networks

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Science China(information Sciences) 2025年第4期68卷 363-379页

作者： Xuehui WANG Qingbo LI Wen ZHU Feng SHU Mengxing HUANG Fuhui ZHOU Riqing CHEN Cunhua PAN Yongpeng WU Jiangzhou WANG School of Mathematics and Statistics Hainan Normal University Key Laboratory of Data Science and Smart Education Ministry of Education Hainan Normal University School of Information and Communication Engineering Hainan University Collaborative Innovation Center of Information Technology Hainan University School of Electronic and Optical Engineering Nanjing University of Science and Technology College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Digital Fujian Institute of Big Data for Agriculture Fujian Agriculture and Forestry University National Mobile Communications Research Laboratory Southeast University Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University School of Engineering University of Kent

Owing to its ability to mitigate the double-fading effect by amplifying the reflected signal, the active intelligent reflecting surface(IRS) has garnered significant attention. In this paper, an amplify-and-forward(AF) relay network assisted by a hybrid IRS consisting of both passive and active units is developed. A signal-to-noise ratio(SNR) maximization problem is formulated, where the AF relay beamforming matrix and the hybrid IRS reflecting coefficient matrices for two-time slots need to be optimized. To address the SNR maximization problem, this paper proposes both a high-performance(HP) method and a low-complexity(LC) method. The HP method is based on the semidefinite relaxation and fractional programming(SDR-FP)algorithm, with rank-1 solutions obtained through Gaussian randomization. For the LC method, the amplification coefficient of each active IRS element is assumed to be equal. The SNR maximization problem is then addressed using the whitening filter,generalized power iteration, and generalized Rayleigh-Ritz(WF-GPI-GRR) approach. Simulation results show that compared with the benchmarks, such as the passive IRS-aided AF relay network, the proposed HP-SDR-FP and WF-GPI-GRR methods achieve significant rate improvements. In particular, the HP-SDR-FP and WF-GPI-GRR methods yield more than a 135.0%rate gain when the transmit power Ps of the source is 10 dBm. Furthermore, the proposed HP-SDR-FP method outperforms the WF-GPI-GRR method in terms of rate performance.

关键词： double-fading intelligent reflecting surface active elements passive elements hybrid IRS AF relay

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Simultaneous wireless information and power transfer with fixed and adaptive modulation

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Digital communications and Networks 2022年第3期8卷 303-313页

作者： Jie Hu Guangming Liang Qin Yu Kun Yang Xiaofeng Lu Yangtze Delta Region Institute(Huzhou)&School of Information and Communication Engineering University of Electronic Science and Technology of ChinaHuzhou313001China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China State Key Laboratory of Integrated Services Networks Xidian UniversityXi'an710071China

Activating Wireless Power Transfer (WPT) in Radio-Frequency (RF) to provide on-demand energy supply to widely deployed Internet of Everything devices is a key to the next-generation energy self-sustainable 6G network. However, Simultaneous Wireless information and Power Transfer (SWIPT) in the same RF bands is challenging. The majority of previous studies compared SWIPT performance to Gaussian signaling with an infinite alphabet, which is impossible to implement in any realistic communication system. In contrast, we study the SWIPT system in a well-known Nakagami-m wireless fading channel using practical modulation techniques with finite alphabet. The attainable rate-energy-reliability tradeoff and the corresponding rationale are revealed for fixed modulation schemes. Furthermore, an adaptive modulation-based transceiver is provided for further expanding the attainable rate-energy-reliability region based on various SWIPT performances of different modulation schemes. The modulation switching thresholds and transmit power allocation at the SWIPT transmitter and the power splitting ratios at the SWIPT receiver are jointly optimized to maximize the attainable spectrum efficiency of wireless information transfer while satisfying the WPT requirement and the instantaneous and average BER constraints. Numerical results demonstrate the SWIPT performance of various fixed modulation schemes in different fading conditions. The advantage of the adaptive modulation-based SWIPT transceiver is validated.

关键词： Simultaneous wireless information and power transfer(SWIPT) Fixed/adaptive modulation Rate-energy-reliability trade-off Transceiver design Energy self-sustainability

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Energy-efficient UAV-NOMA aided wireless coverage with massive connections

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Science China(information Sciences) 2023年第12期66卷 194-208页

作者： Yuqiao TONG Min SHENG Junyu LIU Nan ZHAO School of Information and Communication Engineering Dalian University of Technology State Key Laboratory of Integrated Services Networks Xidian University

In this paper, we propose an unmanned aerial vehicle(UAV)-assisted wireless coverage scheme,wherein UAVs help to serve the cell-edge users for ground base stations based on non-orthogonal multiple access(NOMA). The combined benefits of wide coverage and massive connections enable UAV-NOMA-aided wireless coverage to effectively meet the requirements of the Internet of Everything. Meanwhile, energy efficiency(EE) is maximized via resource allocation to address the issue of the power supply bottleneck of UAVs. The non-convex optimization problem is transformed into two convex subproblems of trajectory optimization and power allocation, and an iterative alternating optimization algorithm is proposed to address it effectively. Moreover, we further considered the energy consumption of the ground base stations, effectively minimizing it by optimizing precoding while guaranteeing average throughput. Numerical results verify the effectiveness of the proposed UAV-aided wireless coverage scheme and demonstrate the EE improvement.

关键词： energy efficiency non-orthogonal multiple access trajectory optimization unmanned aerial vehicle wireless coverage

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UAV-Assisted FSO communication System with Amplify-and-Forward Protocol under AOA Fluctuations:A Performance Analysis

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China communications 2023年第11期20卷 111-130页

作者： Maozhe Xu Guanjun Xu Youran Dong Weizhi Wang Qinyu Zhang Zhaohui Song Shanghai Key Laboratory of Multidimensional Information Processing East China Normal UniversityShanghai 200241China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710126China Space Information Research Institute Hangzhou Dianzi UniversityHangzhou310018China Peng Cheng Laboratory Shenzhen 518052China Communication Engineering Research Center Harbin Institute of TechnologyShenzhen 518055China

Free space optical(FSO)communication has recently aroused great interest in academia due to its unique features,such as large transmission band,high data rates,and strong anti-electromagnetic *** the aim of evaluating the performance of an FSO communication system and extending the line-of-sight transmission distance,we propose an unmanned aerial vehicle(UAV)-assisted dual-hop FSO communication system equipped with amplifyand-forward protocol at the relay ***,we consider impairments of atmospheric absorption,pointing errors,atmospheric turbulence,and link interruptions due to angle-of-arrival fluctuations in the relay *** Gamma-Gamma and Malaga distributions are used to model the influence of atmospheric turbulence on the source-to-UAV and UAVto-destination links,*** derive closedform expressions of the probability density function(PDF)and cumulative distribution function(CDF)for the proposed communication system,in terms of the Meijer-G *** on the precise PDF and CDF,analytical expressions for the outage probability,average bit error rate,and ergodic capacity are proposed with the aid of the extended generalized bivariate Fox’s H ***,we show that there is a match between the analytical results and numerical results,and we analyze the influence of the system and channel parameters on the performance.

关键词： amplify-and-forward protocol angle-ofarrival fluctuations FSO communication Malaga distribution UAV relay

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UAV-Assisted Data Offloading for Smart Container in Offshore Maritime communications

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China communications 2022年第1期19卷 153-165页

作者： Yanpeng Dai Bin Lin Yudi Che Ling Lyu School of Information Science and Technology Dalian Maritime UniversityDalian 116026China Network Communication Research Centre Peng Cheng LaboratoryShenzhen 518052China State Key Laboratory of Integrated Services Networks Xidian UniversityShaanxi 710071China

Smart containers have been extensively applied in the maritime industry by embracing the Internet of Things to realize container status monitoring and data offloading without human ***, the offloading rate and delay in the offshore region are limited by the coverage of the onshore base station(BS). In this paper, we investigate the unmanned aerial vehicle(UAV)-assisted data offloading for smart containers in offshore maritime communications where the UAV is as a relay node between smart containers and onshore BS. We first consider the mobility of container vessel in the offshore region and establish a UAV-assisted data offloading model. Based on this model, a data offloading algorithm is proposed to reduce the average offloading delay under data-size requirements and available energy constraints of smart containers. Specifically, the convex-concave procedure is used to update time-slot assignment,offloading approach selection, and power allocation in an iterative manner. Simulation results show that the proposed algorithm can efficiently reduce average offloading delay and increase offloading success ***, it is shown that the UAV relay cannot always bring the performance gain on offloading delay especially in the close-to-shore area, which could give an insight on the deployment of UAV relay in offshore communications.

关键词： data offloading smart container unmanned aerial vehicle maritime Internet of Things

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A New CP-Based Non-Overlapping FBMC-QAM System for Future Wireless communications

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China communications 2025年第5期22卷 108-127页

作者： Ren Defeng Li Jing Sun Chuiqiang Zhang Guohua Shaanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts and TelecommunicationsXi’an 710121China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710071China China Academy of Space Technology(Xi’an) Xi’an 710000China

A new cyclic prefix(CP)-based nonoverlapping FBMC-QAM(CP-NO-FBMC-QAM)system with two prototype filters is proposed in this paper,which satisfies complex orthogonality conditions and good frequency energy confinement at the same *** analyze its inter-carrier interference/inter-symbol interference(ICI/ISI)over multipath *** to the additional CP,the ISI of received symbols over multipath channels is eliminated in the proposed system,and the resulting improvement in the signal-to-interference ratio(SIR)performance is evaluated by theoretical ***,for the ICI caused by multipath propagation in received symbols,we develop a method that eliminates the ICI by frequency-domain channel estimation and equalization before the receiver filtering *** proposed CP-NO-FBMC-QAM system and ICI cancellation method(ICICM)are validated by comparisons of implementation complexity,power spectral density(PSD),bit error rate(BER)and channel estimation performance with conventional CP-based orthogonal frequency division multiplexing(CP-OFDM)and FBMC-QAM systems.

关键词： channel equalization channel estimation cyclic prefix FBMC ICI cancellation

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Coverage in Cellular Networks with Cross-tier Interference Coordination for Mobile Users

Coverage in Cellular Networks with Cross-tier Interference C...

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2023 IEEE/CIC International Conference on communications in China, ICCC 2023

作者： Li, Chengyao Deng, Na Wei, Haichao Dalian University of Technology School of Information and Communication Engineering Dalian116024 China Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Dalian Maritime University School of Information Science and Technology Dalian116026 China

ISBN: (纸本)9798350345384

To alleviate the time overhead caused by mobility, a velocity-based association policy has been adopted in heterogeneous cellular networks for mobile users. However, this policy may introduce strong interference from cross-tier interfering base stations which are closer to the users than the serving BS. To mitigate cross-tier interference, we propose two cross-tier interference coordination (CTIC) schemes for mobile users: one jointly considers the transmit power and path loss, and the other further incorporates the antenna gain. We give the analytical expressions of overall coverage probability of mobile users. Numerical results demonstrate that the proposed CTIC schemes provide a higher overall coverage probability than no CTIC case in the low signal-to-interference-plus-noise ratio regime, and the performance gap between the two schemes becomes smaller as the coordination level parameter goes up. © 2023 IEEE.

关键词： Signal to noise ratio

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Inter-Cell Interference Coordination for AirComp Federated Learning in Cellular Networks

Inter-Cell Interference Coordination for AirComp Federated L...

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2023 IEEE/CIC International Conference on communications in China, ICCC 2023

作者： Zhang, Ranqiang Deng, Na Wei, Haichao Dalian University of Technology School of Information & Communication Engineering Dalian116024 China Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Dalian Maritime University School of Information Science and Technology Dalian116026 China

ISBN: (纸本)9798350345384

In large-scale cellular networks, inter-cell interference is a critical factor on the average learning performance in each cell for the over-the-air computation (AirComp) based federated learning (FL). In this paper, we propose a new device selection scheme in which we first establish an interference-reduction region in each cell, then select devices from this region for FL, and the unselected devices in each cell are muted on the resource blocks used for the AirComp to reduce the inter-cell interference. To investigate the performance of the proposed scheme in depth, we consider four types of network topologies with different spatial distribution properties for base stations (BSs) and devices, and build FL experiments based on a neural network and a real dataset. The results show that the proposed scheme efficiently reduces the inter-cell interference while improving the average FL prediction accuracy. And the properties of the spatial distribution of both BSs and devices play a key role on the average FL prediction accuracy. © 2023 IEEE.

关键词： Wireless networks

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Integrated Sensing,Computing and communications Technologies in IoV and V2X

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China communications 2023年第3期20卷 I0002-I0004页

作者： Shanzhi Chen FRichard Yu Weisong Shi Changle Li China Information and Communication Technology Group Co. Ltd.(CICT) State Key Laboratory of Wireless Mobile Communications SMIC IEEE VTS Mobile World newsletter IEEE Canadian Academy of Engineering(CAE) Engineering Institute of Canada(EIC) IET Department of Computer and Information Sciences at the University of Delaware(UD) State Key Laboratory of Integrated Services Networks of Xidian University

With the development of new generation of information and communication technology,the Internet of Vehicles(IoV)/Vehicle-to-Everything(V2X),which realizes the connection between vehicle and X(i.e.,vehicles,pedestrians,infrastructures,clouds,etc.),is playing an increasingly important role in improving traffic operation efficiency and driving safety as well as enhancing the intelligence level of social traffic services.

关键词： driving traffic operation

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