no code implementations • 8 Feb 2025 • Liuchang Zhuo, Cunhua Pan, Hong Ren, Ruisong Weng, Shi Jin, A. Lee Swindlehurst, Jiangzhou Wang
Based on the observation that the overall cascaded MIMO channel can be decomposed into multiple sub-channels, the cascaded channel for a typical user is estimated in Stage II.
no code implementations • 18 Jan 2025 • Mengyu Liu, Cunhua Pan, Kangda Zhi, Hong Ren, Cheng-Xiang Wang, Jiangzhou Wang, Yonina C. Eldar
Furthermore, the proposed iterative precoding algorithms are proven to converge to RZF globally at an exponential rate.
no code implementations • 16 Jan 2025 • Xianzhe Chen, Hong Ren, Cunhua Pan, Cheng-Xiang Wang, Jiangzhou Wang
Furthermore, the paper introduces a crucial constraint on system parameters, under which effective degrees-of-freedom (EDoF) of XL-MIMO systems with sparse UPAs can be precisely estimated.
no code implementations • 13 Jan 2025 • Xianzhe Chen, Hong Ren, Cunhua Pan, Zhangjie Peng, Jiangzhou Wang
This letter investigates the optimal antenna spacing for a near-field XL-MIMO communication system from the perspective of the array gain.
no code implementations • 29 Dec 2024 • Zhichu Ren, Cunhua Pan, Hong Ren, Dongming Wang, Lexi Xu, Jiangzhou Wang
As an emerging technology, cooperative bi-static integrated sensing and communication (ISAC) is promising to achieve high-precision sensing, high-rate communication as well as self-interference (SI) avoidance.
no code implementations • 29 Dec 2024 • Jun Tang, Yiming Yu, Cunhua Pan, Hong Ren, Dongming Wang, Jiangzhou Wang, Xiaohu You
This paper proposes a cooperative integrated sensing and communication (ISAC) scheme for the low-altitude sensing scenario, aiming at estimating the parameters of the unmanned aerial vehicles (UAVs) and enhancing the sensing performance via cooperation.
1 code implementation • 11 Dec 2024 • Bing-Yi Jing, Ting Li, Jiangzhou Wang, Ya Wang
There has been extensive research on community detection in directed and bipartite networks.
no code implementations • 11 Nov 2024 • Feng Shu, Jinbing Jiang, Xuehui Wang, Ke Yang, Chong Shen, Qi Zhang, Dongming Wang, Jiangzhou Wang
In this paper, we will focus on the analysis of degree of freedom (DoF) in IRS-aided multi-user MIMO network.
no code implementations • 8 Nov 2024 • Pengzhe Xin, Yang Cao, Yue Wu, Dongming Wang, Xiaohu You, Jiangzhou Wang
A comprehensive asynchronous beam-domain signal transmission model is presented for mmWave CF-mMIMO-OFDM systems in both downlink and uplink, incorporating phase offset, inter-carrier interference (ICI) and inter-symbol interference (ISI).
no code implementations • 7 Nov 2024 • Chunmei Xu, Mahdi Boloursaz Mashhadi, Yi Ma, Rahim Tafazolli, Jiangzhou Wang
Generative foundation models can revolutionize the design of semantic communication (SemCom) systems allowing high fidelity exchange of semantic information at ultra low rates.
no code implementations • 6 Nov 2024 • Feibo Jiang, Siwei Tu, Li Dong, Cunhua Pan, Jiangzhou Wang, Xiaohu You
The rapid development of generative Artificial Intelligence (AI) continually unveils the potential of Semantic Communication (SemCom).
no code implementations • 28 Oct 2024 • Yan Wang, Yongqiang Li, Minghao Chen, Yu Yao, Feng Shu, Jiangzhou Wang
In this paper, channel estimation (CE) of intelligent reflecting surface aided near-field (NF) multi-user communication is investigated.
no code implementations • 8 Oct 2024 • Peng Jiang, Jiafei Fu, Pengcheng Zhu, Yan Wang, Jiangzhou Wang, Xiaohu You
Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant performance advantages over traditional cellular networks.
no code implementations • 22 Sep 2024 • YiFan Li, Kang Wei, Linqiong Jia, Jun Zou, Feng Shu, Yaoliang Song, Jiangzhou Wang
Second, in order to improve the DOA estimation accuracy of switches-based hybrid arrays, a deep neural network (DNN)-based method called ASN-DNN is proposed.
no code implementations • 1 Aug 2024 • Yupeng Li, Xinyu Ning, Shijian Gao, Yitong Liu, Zhi Sun, Qixing Wang, Jiangzhou Wang
This work aims to tackle the labor-intensive and resource-consuming task of indoor positioning by proposing an efficient approach.
no code implementations • 11 Jul 2024 • Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief
Federated Learning (FL) can protect the privacy of the vehicles in vehicle edge computing (VEC) to a certain extent through sharing the gradients of vehicles' local models instead of local data.
1 code implementation • 10 Jul 2024 • Yu Xie, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
By integrating DT with VEC, a virtual vehicle DT can be created in the VEC server to monitor the real-time operating status of vehicles.
1 code implementation • 9 Jul 2024 • Maoxin Ji, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, Cellular Vehicle-to-Everything (C-V2X) communication has attracted much attention due to its superior performance in coverage, latency, and throughput.
no code implementations • 1 Jul 2024 • Yupeng Li, Gang Li, Zirui Wen, Shuangfeng Han, Shijian Gao, Guangyi Liu, Jiangzhou Wang
Specifically, the user equipment (UE) extracts the primary stochastic parameters of the field channel data and transmits them to the base station (BS).
1 code implementation • 1 Jul 2024 • Wenhua Wang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
This paper focuses on the Age of Information (AoI) as a key metric for data freshness and explores task offloading issues for vehicles under RSU communication resource constraints.
1 code implementation • 17 Jun 2024 • Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang
Vehicular edge computing (VEC) is an emerging technology that enables vehicles to perform high-intensity tasks by executing tasks locally or offloading them to nearby edge devices.
1 code implementation • 17 Jun 2024 • Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
Reconfigurable Intelligent Surface (RIS) is a pivotal technology in communication, offering an alternative path that significantly enhances the link quality in wireless communication environments.
no code implementations • 14 Jun 2024 • YiFan Li, Feng Shu, Kang Wei, Jiatong Bai, Cunhua Pan, Yongpeng Wu, Yaoliang Song, Jiangzhou Wang
To obtain the exact NF DOA estimation results, we propose a grouped PC-HAD structure, which is capable of dividing the NF DOA estimation problem into multiple FF DOA estimation problems via partitioning the large-scale PC-HAD array into small-scale groups.
1 code implementation • 11 Jun 2024 • Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief
This optimization encompasses the optimal link of V2V and V2I sharing strategies, the transmission power for vehicles sending semantic information and the length of transmitted semantic symbols, aiming at maximizing HSSE of V2I and enhancing success rate of effective semantic information transmission (SRS) of V2V.
no code implementations • 7 Jun 2024 • Jun Gong, Wenchi Cheng, Jiangzhou Wang, Jingqing Wang
Integrated sensing and communications (ISAC) has been considered one of the new paradigms for sixth-generation (6G) wireless networks.
no code implementations • 29 May 2024 • Qihao Peng, Hong Ren, Zhendong Peng, Cunhua Pan, Maged Elkashlan, Dongming Wang, Jiangzhou Wang, Xiaohu You
To strike a balance between synchronization performance and overhead, we first classify the clusters by using the K-means algorithm, and propose a criteria to find a good set of master APs.
no code implementations • 15 May 2024 • Zhangjie Peng, Ruijing Liu, Zhaotian Li, Cunhua Pan, Jiangzhou Wang
To solve this issue, we propose a deep-learning (DL)-based ExtendNLNet that can compress the CSI, and further reduce the overhead of CSI feedback.
no code implementations • 12 Apr 2024 • Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang
In this scheme, vehicle s mobility, channel conditions with temporal variations, computational resources with temporal variations, different data amount, transmission channel status of vehicles as well as Byzantine attacks were taken into account. Simulation results show that the proposed scheme effectively improves the safety and accuracy of the global model.
no code implementations • 9 Apr 2024 • Sen Wang, Tianxiong Wang, Shulun Zhao, Zhen Feng, Guangyi Liu, Chunfeng Cui, Chih-Lin I, Jiangzhou Wang
The proposed system architecture and the dedicated signal processing methods enable the scheme to transmit a bigger number of parallel data streams than the number of receiving RF chains, achieving a spectral efficiency performance close to that of a fully digital (FD) MIMO system with the same number of antenna elements, each equipped with an RF chain.
no code implementations • 26 Mar 2024 • Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang
In this paper, single large-scale IRS is divided to multiple small IRSs and a novel multi-IRS-aided multi-stream DM network is proposed to achieve a point-to-point multi-stream transmission by creating $K$ ($\geq3$) DoFs, where multiple small IRSs are placed distributively via multiple unmanned aerial vehicles (UAVs).
no code implementations • 25 Mar 2024 • Tuo Wu, Cunhua Pan, Kangda Zhi, Hong Ren, Maged Elkashlan, Jiangzhou Wang, Chau Yuen
Then, we propose a transfer learning based fingerprint (TFBF) algorithm that employs the reconstructed high-dimensional RIS information for MU localization.
no code implementations • 19 Mar 2024 • Hao Jiang, Wangqi Shi, Zaichen Zhang, Cunhua Pan, Qingqing Wu, Feng Shu, Ruiqi Liu, Jiangzhou Wang
Then, we develop a beam domain channel model based on the proposed sub-array partition framework for large-scale RIS-enabled UAV-to-vehicle communication systems, which can be used to efficiently capture the sparse features in RIS-enabled UAV-to-vehicle channels in both near-field and far-field ranges.
no code implementations • 19 Mar 2024 • Zhangjie Peng, Zhaotian Li, Ruijing Liu, Cunhua Pan, Feiniu Yuan, Jiangzhou Wang
We use long short-term memory to learn time correlation, which can help the neural network to improve the recovery quality of the compressed CSI.
1 code implementation • 10 Mar 2024 • Qiong Wu, Le Kuai, Pingyi Fan, Qiang Fan, Junhui Zhao, Jiangzhou Wang
In Internet of Things (IoT) networks, the amount of data sensed by user devices may be huge, resulting in the serious network congestion.
no code implementations • 4 Mar 2024 • Zhenkun Zhang, Hong Ren, Cunhua Pan, Sheng Hong, Dongming Wang, Jiangzhou Wang, Xiaohu You
Then, the target locations are estimated in Stage II based on these range measurements.
no code implementations • 1 Mar 2024 • Ouyang Zhou, Junyuan Wang, Fuqiang Liu, Jiangzhou Wang
Ultra-densely deploying access points (APs) to support the increasing data traffic would significantly escalate the cell-edge problem resulting from traditional cellular networks.
no code implementations • 21 Feb 2024 • Jiahua Wan, Hong Ren, Zhiyuan Yu, Zhenkun Zhang, Yang Zhang, Cunhua Pan, Jiangzhou Wang
To address the formulated non-convex problem in the multi-UE scenario, we decouple the original problem into two subproblems, where the computational and beamforming settings are optimized alternately.
no code implementations • 16 Feb 2024 • Zhangjie Peng, Zhibo Zhang, Cunhua Pan, Marco Di Renzo, Octavia A. Dobre, Jiangzhou Wang
Specifically, by exploiting the majorization-minimization approach, each subproblem is reformulated into a tractable surrogate problem, whose closed-form solutions are obtained by Lagrange dual decomposition approach and element-wise alternating sequential optimization method.
no code implementations • 11 Feb 2024 • Mahdi Eskandari, Huiling Zhu, Jiangzhou Wang
A cell-free network merged with active reconfigurable reflecting surfaces (RIS) is investigated in this paper.
no code implementations • 30 Nov 2023 • Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server for processing.
no code implementations • 24 Nov 2023 • Xin Cheng, Guangjie Han, Jinlin Peng, Jinfang Jiang, Yu He, Weiqiang Zhu, Feng Shu, Jiangzhou Wang
Deploying multiple unmanned aerial vehicles (UAVs) to locate a signal-emitting source covers a wide range of military and civilian applications like rescue and target tracking.
no code implementations • 15 Nov 2023 • YiFan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song, Jiangzhou Wang
To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity.
no code implementations • 7 Nov 2023 • Yifan Zhao, Xuehui Wang, Yan Wang, Xianpeng Wang, Zhilin Chen, Feng Shu, Cunhua Pan, Jiangzhou Wang
Due to its slow linear convergence from iterative GA, the proposed ESMPI-GA is high-complexity.
no code implementations • 15 Oct 2023 • Qiankun Cheng, Rongen Dong, Wenlong Cai, Ruiqi Liu, Feng Shu, Jiangzhou Wang
Subsequently, two high-performance PA strategies, enhanced multiple random initialization Newton's (EMRIN) and Taylor polynomial approximation (TPA), are proposed.
no code implementations • 24 Jul 2023 • Baiping Xiong, Zaichen Zhang, Jiangzhou Wang
Large-scale reconfigurable intelligent surface (RIS) can effectively enhance the performance of millimeter wave (mmWave) unmanned aerial vehicle (UAV) to ground communication link with obstructed line-of-sight (LoS) path by exploiting more reflecting units.
no code implementations • 17 Jun 2023 • Zhangjie Peng, Ruijing Liu, Cunhua Pan, Zhenkun Zhang, Jiangzhou Wang
In this paper, we consider an active reconfigurable intelligent surface (RIS)-aided unmanned aerial vehicle(UAV)-enabled simultaneous wireless information and power transfer(SWIPT) system with multiple ground users.
no code implementations • 31 May 2023 • Yan Wang, Feng Shu, Zhihong Zhuang, Rongen Dong, Qi Zhang, Di wu, Liang Yang, Jiangzhou Wang
Numerical simulation results show that a 3-bit discrete phase shifter is required to achieve a trivial performance loss for a large-scale active IRS.
no code implementations • 5 May 2023 • Na Yan, Kezhi Wang, Cunhua Pan, Kok Keong Chai, Feng Shu, Jiangzhou Wang
We aim to improve the learning performance by jointly designing the device scheduling, alignment coefficient, and the number of aggregation rounds of federated averaging (FedAvg) subject to sum power and privacy constraints.
no code implementations • 11 Mar 2023 • Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li
It is critical to determine the optimal policy including sample collection requirements and power allocation to minimize the AoI and energy consumption of MIMO-NOMA IoT system, where the transmission rate is not a constant in the SIC process and the noise is stochastic in the MIMO-NOMA channel.
no code implementations • 7 Jan 2023 • Xuehui Wang, Feng Shu, Mengxing Huang, Fuhui Zhou, Riqing Chen, Cunhua Pan, Yongpeng Wu, Jiangzhou Wang
Moreover, it is verified that the proposed HP-SDR-FP method perform better than WF-GPI-GRR method in terms of rate performance.
no code implementations • 16 Dec 2022 • Yeqing Lin, Feng Shu, Rongen Dong, Riqing Chen, Siling Feng, Weiping Shi, Jing Liu, Jiangzhou Wang
In this paper, in order to boost the achievable rate of user in such a wireless network, three enhanced-rate iterative beamforming methods are proposed by designing the amplifying factors and the corresponding phases at active IRS.
no code implementations • 5 Dec 2022 • Feng Shu, Jing Liu, Yeqing Lin, Yang Liu, Zhilin Chen, Xuehui Wang, Rongen Dong, Jiangzhou Wang
To fully exploit the amplifying gain achieved by active IRS, two high-rate methods, maximum ratio reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are motivated by maximum ratio combining and selective ratio combining.
no code implementations • 7 Nov 2022 • Yu Liu, Ming Chen, Cunhua Pan, Yijin Pan, Yinlu Wang, Yaoming Huang, Tianyang Cao, Jiangzhou Wang
The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for propagation loss or tackle the blockage issue.
no code implementations • 16 Oct 2022 • Jianxin Dai, Jin Ge, Kangda Zhi, Cunhua Pan, Zaichen Zhang, Jiangzhou Wang, Xiaohu You
Finally, the numerical results demonstrate the correctness of our derived expressions and the benefits of deploying large-size RISs into cell-free mMIMO systems.
no code implementations • 29 Sep 2022 • Yeqing Lin, Rongen Dong, Peng Zhang, Feng Shu, Jiangzhou Wang
To reduce the computational complexity, a new method of maximizing receive power with zero-forcing constraint (Max-RP-ZFC) of only reflecting CM and no AN is proposed.
no code implementations • 11 Sep 2022 • YiFan Li, Baihua Shi, Feng Shu, Yaoliang Song, Jiangzhou Wang
To improve the accuracy of direction-of-arrival (DOA) estimation, a deep learning (DL)-based method called CDAE-DNN is proposed for hybrid analog and digital (HAD) massive MIMO receive array with overlapped subarray (OSA) architecture in this paper.
no code implementations • 3 Sep 2022 • Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard, Jiangzhou Wang
The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless communications.
no code implementations • 3 Sep 2022 • Zhangjie Peng, Ruisong Weng, Zhenkun Zhang, Cunhua Pan, Jiangzhou Wang
This paper investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system.
no code implementations • 24 Aug 2022 • Yijin Pan, Cunhua Pan, Shi Jin, Jiangzhou Wang
This makes localization and channel estimation in the near field of the RIS-aided subTHz system more challenging.
no code implementations • 16 Aug 2022 • Tuo Wu, Cunhua Pan, Yijin Pan, Sheng Hong, Hong Ren, Maged Elkashlan, Feng Shu, Jiangzhou Wang
Then, we derive a complex expression for the variance based on the derived PDF.
no code implementations • 16 Aug 2022 • Tuo Wu, Hong Ren, Cunhua Pan, Yijin Pan, Sheng Hong, Maged Elkashlan, Feng Shu, Jiangzhou Wang
Reconfigurable intelligent surface (RIS)-aided localization systems are increasingly recognized for enhancing accuracy in internet of things (IoT) networks.
1 code implementation • 3 Aug 2022 • Siyuan Wang, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang
For the traditional federated learning (FL), vehicles train the data locally to obtain a local model and then upload the local model to the RSU to update the global model, thus the data privacy can be protected through sharing model parameters instead of data.
1 code implementation • 2 Aug 2022 • Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang
In addition, we consider the mobility of vehicles and propose a deep reinforcement learning algorithm to obtain the optimal cooperative caching location for the predicted popular contents in order to optimize the content transmission delay.
no code implementations • 2 Aug 2022 • Xin Cheng, Feng Shu, YiFan Li, Zhihong Zhuang, Di wu, Jiangzhou Wang
In this paper, optimal geometrical configurations of UAVs in received signal strength (RSS)-based localization under region constraints are investigated.
no code implementations • 20 Jul 2022 • Sai Xu, Yanan Du, Jiliang Zhang, Jiangzhou Wang, Jie Zhang
This paper proposes to leverage intelligent reflecting surface (IRS) backscatter to realize radio-frequency-chain-free uplink-transmissions (RFCF-UT).
no code implementations • 17 May 2022 • Xin Cheng, Tingting Liu, Feng Shu, Chuan Ma, Jun Li, Jiangzhou Wang
Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost.
no code implementations • 20 Apr 2022 • YiWen Chen, Xichao Zhan, Feng Shu, Qijuan Jie, Xin Cheng, Zhihong Zhuang, Jiangzhou Wang
Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity.
no code implementations • 29 Mar 2022 • Xin Cheng, Chuan Ma, Jun Li, Haiwei Song, Feng Shu, Jiangzhou Wang
Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in a centralized server.
no code implementations • 2 Mar 2022 • YiFan Li, Feng Shu, Jinsong Hu, Shihao Yan, Haiwei Song, Weiqiang Zhu, Da Tian, Yaoliang Song, Jiangzhou Wang
The simulation results show that the machine learning-based methods can achieve good results in signal classification, especially neural networks, which can always maintain the classification accuracy above 70\% with massive MIMO receive array.
no code implementations • 4 Dec 2021 • Zhangjie Peng, Tianshu Li, Cunhua Pan, Hong Ren, Jiangzhou Wang
In this letter, we investigate a reconfigurable intelligent surfaces (RIS)-aided device to device (D2D) communication system over Rician fading channels with imperfect hardware including both hardware impairment at the transceivers and phase noise at the RISs.
no code implementations • 3 Aug 2021 • Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, YiFan Li, Jiangzhou Wang
The test statistic (TS) of the first method is defined as the ratio of maximum eigen-value (Max-EV) to minimum eigen-value (R-MaxEV-MinEV) while that of the second one is defined as the ratio of Max-EV to noise variance (R-MaxEV-NV).
no code implementations • 1 Apr 2021 • Xin Cheng, Weiping Shi, Wenlong Cai, Weiqiang Zhu, Tong Shen, Feng Shu, Jiangzhou Wang
Simulation results show that the proposed DMM performs better than the existing distributed Gauss-Newton method (DGN) in terms of root of mean square error (RMSE) under a limited low communication overhead constraint.
no code implementations • 8 Feb 2021 • Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which is assisted by reconfigurable intelligent surface (RIS) for both the information data and power transmission.
no code implementations • 28 Jan 2021 • Qi Gu, Dan Wu, Xin Su, Jing Jin, Yifei Yuan, Jiangzhou Wang
On the other hand, a relay node in a traditional relay network has to be active, which indicates that it will consume energy when it is relaying the signal or information between the source and destination nodes.
Information Theory Information Theory
no code implementations • 23 Nov 2020 • Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang
Then, multiple RISs are utilized to achieve SPWT through the reflection path among transmitter, RISs and receivers in order to enhance the communication performance and energy efficiency simultaneously.
no code implementations • 9 Nov 2020 • Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo
Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.
1 code implementation • 5 Nov 2020 • Qiong Wu, Hongmei Ge, Pingyi Fan, Jiangzhou Wang, Qiang Fan, Zhengquan Li
However, one vehicle in platoons inevitably suffers from a disturbance resulting from the leader vehicle acceleration/deceleration, wind gust and uncertainties in a platoon control system, i. e., aerodynamics drag and rolling resistance moment etc.
Networking and Internet Architecture
no code implementations • 3 Nov 2020 • YiFan Li, Feng Shu, Baihua Shi, Xin Cheng, Yaoliang Song, Jiangzhou Wang
First, fixing the nth BS, by exploiting multiple measurements along trajectory, the position of UAV is computed by ML rule.
no code implementations • 1 Nov 2020 • Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang
In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance between performance and circuit cost.
Information Theory Signal Processing Information Theory
1 code implementation • 1 Nov 2020 • Jiangzhou Wang, Jingfei Zhang, Binghui Liu, Ji Zhu, Jianhua Guo
In this article, we propose a novel likelihood based approach that decouples row and column labels in the likelihood function, which enables a fast alternating maximization; the new method is computationally efficient, performs well for both small and large scale networks, and has provable convergence guarantee.
no code implementations • 27 Oct 2020 • Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications.
no code implementations • 16 Dec 2017 • Jun-Bo Wang, Junyuan Wang, Yongpeng Wu, Jin-Yuan Wang, Huiling Zhu, Min Lin, Jiangzhou Wang
Moreover, optimal or near-optimal solutions of historical scenarios can be searched offline and stored in advance.
1 code implementation • 1 Feb 2017 • Yijin Pan, Cunhua Pan, Huiling Zhu, Qasim Zeeshan Ahmed, Ming Chen, Jiangzhou Wang
Furthermore, an alternative group optimization (AGO) algorithm is proposed to solve the general case of the optimization problem.
Networking and Internet Architecture