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Joint optimization of spectral efficiency for cell-free massive MIMO with network-assisted full duplexing

Science China(Information Sciences) 2021年第8期64卷 156-171页

作者： Xinjiang XIA Pengcheng ZHU Jiamin LI Hao WU Dongming WANG Yuanxue XIN National mobile Communications Research Laboratory Southeast University State Key Laboratory of mobile network and mobile multimedia Technology Zhongxing Telecommunication Equipment Corporation College of Internet of Things Engineering Hohai University

In this paper, we investigate duplex mode selection and transceiver design for cell-free massive multiple-input multiple-output(MIMO) with network-assisted full duplexing(NAFD), where the remote antenna units(RAUs) simultaneously serve both uplink and downlink users on the same time-frequency resource, and the joint transmission and reception are done at the central processing unit. We consider that each antenna can operate in three modes, i.e., uplink reception, downlink transmission and sleep. In particular, we model the problem as a mixed-integer optimization problem to maximize the aggregated spectral efficiency(SE) of downlinks and uplinks, where the quality-of-service constraints and power budget constraints are considered. Since the uplinks and downlinks are highly coupled, to address the design problem,we resolve the combinatorial problem by a series of nonconvex-convex approximate methods, such as equivalent formulations, iterative success convex approximations, and binary relaxations. In particular, a two-stage strategy is proposed to solve the optimization problem. In the first stage, we fix the mode selection vectors and then obtain the optimal transceivers with such a fairness strategy. In the second stage, with the transceiver parameters obtained from the first stage, we further optimize the duplex mode of each *** algorithms of the two stages will alternately run in several loops until convergence. Numerical results indicate that the proposed solution can obtain SE performance that is close to the optimal exhaustive search solution and yields a higher SE gain compared with the traditional fixed-mode duplex scheme.

关键词： cell-free massive MIMO network-assisted full duplexing mode selection success convex approximations spectral efficiency

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Toward path reliability by using adaptive multi-path routing mechanism for multimedia service in mobile Ad-hoc network

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The Journal of China Universities of Posts and Telecommunications 2010年第1期17卷 93-100页

作者： ZHEN Yan,WU Mu-qing,WU Da-peng,ZHANG Qin-juan,XU Chun-xiu Broadband Communication network Laboratory,Beijing University of Posts and Telecommunications,Beijing 100876,China [a] Broadband Communication network Laboratory Beijing University of Posts Telecommunications Beijing 100876 China

Traditional multi-path routing mechanisms aim to establish complete node or link disjoint paths. However, under some circumstances if multiple paths cannot be established based on the current network topology, the traditional multi-path routing mechanism will degenerate into single path routing mechanism, thus the advantages of multi-path routing cannot be exhibited. To enhance the end-to-end path reliability, an adaptive multi-path routing mechanism with path segment is proposed, in which multi-path can be established at part of the end-to-end path. In this way the reliability of the path can be enhanced. This path segment mechanism can divide the end-to-end path into several short segments, and a parallel forwarding mechanism is proposed for guaranteeing the quality of service of multimedia services over the wireless network. Simulations show that the network performance metrics such as the packet delivery ratio, the end-to-end delay and the number of route discoveries are all improved by using the adaptive multi-path routing mechanism.

关键词： mobile Ad-hoc networks multi-path routing reliability parallel forwarding path segment

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network-Assisted Full-Duplex Cell-Free mmWave Massive MIMO Systems with DAC Quantization and Fronthaul Compression

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China Communications 2024年第11期21卷 75-87页

作者： Li Jiamin Fan Qingrui Zhang Yu Zhu Pengcheng Wang Dongming Wu Hao You Xiaohu National mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Department of Electronic&Information Engineering Nanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of mobile network and mobile multimedia Technology ZTE CorporationShenzhen 518055China

In this paper,we investigate networkassisted full-duplex(NAFD)cell-free millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems with digital-to-analog converter(DAC)quantization and fronthaul *** propose to maximize the weighted uplink and downlink sum rate by jointly optimizing the power allocation of both the transmitting remote antenna units(T-RAUs)and uplink users and the variances of the downlink and uplink fronthaul compression *** deal with this challenging problem,we further apply a successive convex approximation(SCA)method to handle the non-convex bidirectional limited-capacity fronthaul *** simulation results verify the convergence of the proposed SCA-based algorithm and analyze the impact of fronthaul capacity and DAC quantization on the spectral efficiency of the NAFD cell-free mmWave massive MIMO ***,some insightful conclusions are obtained through the comparisons of spectral efficiency,which shows that NAFD achieves better performance gains than cotime co-frequency full-duplex cloud radio access network(CCFD C-RAN)in the cases of practical limited-resolution ***,their performance gaps with 8-bit DAC quantization are larger than that with1-bit DAC quantization,which attains a 5.5-fold improvement.

关键词： cell-free massive MIMO DAC quantization millimeter-wave network-assisted full-duplex

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Future Vision on Artificial Intelligence Assisted Green Energy Efficiency network

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ZTE Communications 2023年第2期21卷 34-39页

作者： CHEN Jiajun GAO Yin LIU Zhuang LI Dapeng State Key Laboratory of mobile network and mobile multimedia Technology Shenzhen 518055China Wireless Product R&D Institute ZTE CorporationShanghai 201203China

To meet the key performance requirement of the 5G network and the demand of the growing number of mobile subscribers,millions of base stations are being constructed.5G New Radio is designed to enable denser network deployments,which raises significant concerns about network energy *** learning(ML),as a kind of artificial intelligence(AI)technologies,can enhance network optimization performance and energy *** this paper,we propose AI/ML-assisted energy-saving strategies to achieve optimal performance in terms of cell shutdown duration and energy *** realize network intelligence,we put forward the concept of intrinsic AI,which integrates AI into every aspect of wireless communication networks.

关键词： machine learning energy efficiency traffic distribution load prediction intrinsic AI

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A Frameless network Architecture for the Way Forward of C-RAN

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China Communications 2016年第6期13卷 154-166页

作者： Xiaodong Xu Zhao Sun Xun Dai Xiaofeng Tao Ping Zhang National Engineering Laboratory for mobile network Security Beijing University of Posts and Telecommunications

The key technologies involved in the evolution of the Cloud-based Radio Access network(C-RAN) are discussed in this paper. Taking the Frameless network Architecture(FNA) as a starting point, a cell-lessbased network topology for a multi-tier Heterogeneous network(Het Net) and ultra-dense network is proposed. The FNA network topology modeling is researched with centralized processing and distributed antenna deployments. The Antenna Element(AE) is released as a new dimensional radio resource that is included in the centralized Radio Resource Management(RRM) processes. This contributes to the on-demand user-centric serving-set associations with cell-edge effect elimination. The Control Plane(CP) and User Plane(UP) separation and adaptation are introduced for energy efficiency improvements. The centralized RRM and different optimization goals are discussed for fully exploring the merits from the centralized computing of C-RAN. Considering the complexity, near-optimal approaches for specific users' Quality-of-Service(Qo S) requirements are addressed. Finally, based on the research highlighted above, the way forward of C-RAN evolution is discussed.

关键词： C-RAN frameless network architecture user-centric control plane and user plane adaptation centralized radio resource management optimization

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Connection-Free Transmission for Critical MTC

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China Communications 2024年第8期21卷 162-171页

作者： Li Zhigang Yuan Zhifeng Ma Yihua Liang Chulong ZTE Corporation Shenzhen 518057China State Key Laboratory of mobile network and mobile multimedia Technology Shenzhen 518055China

In this paper,a contention-based connection-free transmission scheme is proposed to meet the stringent requirements of ultra-reliability and low-latency for critical machine-type communication(cMTC).To improve reliability,we design multiple independent sparse orthogonal pilots(MISOP)to significantly reduce the probability of pilot collision to the order of 10^(−5).Besides,the advancements of massive MIMO(mMIMO)are exploited to further enhance the *** achieve low latency,connection-free slot-based one-shot transmission without retransmissions is *** the receiver side,single round of multi-user detection(MUD)without interference cancellation(IC)can reduce the processing *** imprecise synchronization between cMTC device and the gNB in connection-free transmission,e.g.,time and frequency offsets,are also *** simulation results shows that the proposed scheme can well satisfy the ambitious requirements of cMTC,and has the potential applications in supporting massive cMTC devices in 6G.

关键词： connection-free critical MTC pilot collision sparse orthogonal pilot

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Joint Allocation of Wireless Resource and Computing Capability in MEC-Enabled Vehicular network

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China Communications 2021年第6期18卷 64-76页

作者： Yanzhao Hou Chengrui Wang Min Zhu Xiaodong Xu Xiaofeng Tao Xunchao Wu National Engineering Laboratory for mobile network Technologies Beijing University of Posts and TelecommunicationsBeijing 100876China

In MEC-enabled vehicular network with limited wireless resource and computation resource,stringent delay and high reliability requirements are challenging *** order to reduce the total delay in the network as well as ensure the reliability of Vehicular UE(VUE),a Joint Allocation of Wireless resource and MEC Computing resource(JAWC)algorithm is *** JAWC algorithm includes two steps:V2X links clustering and MEC computation resource *** the V2X links clustering,a Spectral Radius based Interference Cancellation scheme(SR-IC)is proposed to obtain the optimal resource allocation *** converting the calculation of SINR into the calculation of matrix maximum row sum,the accumulated interference of VUE can be constrained and the the SINR calculation complexity can be effectively *** the MEC computation resource scheduling,by transforming the original optimization problem into a convex problem,the optimal task offloading proportion of VUE and MEC computation resource allocation can be *** simulation further demonstrates that the JAWC algorithm can significantly reduce the total delay as well as ensure the communication reliability of VUE in the MEC-enabled vehicular network.

关键词： vehicular network delay optimization wireless resource allocation matrix spectral radius MEC computation resource allocation

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An Empirical Application of User-Guided Program Analysis

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China Communications 2024年第7期21卷 325-333页

作者： Wang Jigang Cheng Shengyu Cao Jicheng He Meihua State Key Laboratory of mobile network and mobile multimedia Shenzhen 518055China Department of Cyberspace Security ZTE CorporationShenzhen 518057China

Although static program analysis methods are frequently employed to enhance software quality,their efficiency in commercial settings is limited by their high false positive *** EUGENE tool can effectively lower the false positive ***,in continuous integration(CI)environments,the code is always changing,and user feedback from one version of the software cannot be applied to a subsequent ***,people find it difficult to distinguish between true positives and false positives in the analytical *** this study,we developed the EUGENE-CI technique to address the CI problem and the EUGENE-rank lightweight heuristic algorithm to rate the reports of the analysis output in accordance with the likelihood that they are true *** the three projects ethereum,go-cloud,and kubernetes,we assessed our *** to the trial findings,EUGENE-CI may drastically reduce false positives while EUGENE-rank can make it much easier for users to identify the real positives among a vast number of *** paired our techniques with GoInsight~1 and discovered a *** also offered a patch to the community.

关键词： continuous integration report ranking static program analysis

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t/k-fault diagnosis algorithm of n-dimensional hypercube network based on the MM*model

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Journal of Systems Engineering and Electronics 2018年第1期29卷 216-222页

作者： LIANG Jiarong ZHOU Ning YUN Long School of Computer and Electronics Information Guangxi UniversityNanning 530004China Guangxi Key Laboratory of multimedia Communications and network Technology Nanning 530004China

Compared with accurate diagnosis, the system’s selfdiagnosing capability can be greatly increased through the t/kdiagnosis strategy at most k vertexes to be mistakenly identified as faulty under the comparison model, where k is typically a small number. Based on the Preparata, Metze, and Chien(PMC)model, the n-dimensional hypercube network is proved to be t/kdiagnosable. In this paper, based on the Maeng and Malek(MM)*model, a novel t/k-fault diagnosis(1≤k≤4) algorithm of ndimensional hypercube, called t/k-MM*-DIAG, is proposed to isolate all faulty processors within the set of nodes, among which the number of fault-free nodes identified wrongly as faulty is at most k. The time complexity in our algorithm is only O(2~n n~2).

关键词： hypercube network t/k-diagnosis algorithm multiprocessor systems the Maeng and Malek(MM)* model Preparata Metze and Chien(PMC)

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Integrated sensing and communication based outdoor multi-target detection,tracking,and localization in practical 5G networks

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Intelligent and Converged networks 2023年第3期4卷 261-272页

作者： Ruiqi Liu Mengnan Jian Dawei Chen Xu Lin Yichao Cheng Wei Cheng Shijun Chen the Wireless Research Institute ZTE CorporationBeijing 100029China the State Key Laboratory of mobile network and mobile multimedia Technology Shenzhen 518055China

The 6th generation(6G)wireless networks will likely to support a variety of capabilities beyond communication,such as sensing and localization,through the use of communication networks empowered by advanced *** sensing and communication(ISAC)has been recognized as a critical technology as well as a usage scenario for 6G,as widely agreed by leading global standardization *** utilizes communication infrastructure and devices to provide the capability of sensing the environment with high resolution,as well as tracking and localizing moving objects *** both the requirements for communication and sensing simultaneously,ISAC-based approaches celebrate the advantages of higher spectral and energy efficiency compared to two separate systems to serve two purposes,and potentially lower costs and easy deployment.A key step towards the standardization and commercialization of ISAC is to carry out comprehensive field trials in practical networks,such as the 5th generation(5G)networks,to demonstrate its true capacities in practical *** this paper,an ISAC-based outdoor multi-target detection,tracking and localization approach is proposed and validated in 5G *** proposed system comprises of 5G base stations(BSs)which serve nearby mobile users normally,while accomplishing the task of detecting,tracking,and localizing drones,vehicles,and pedestrians *** trial results demonstrate the relatively high accuracy of the proposed method in practical outdoor environment when tracking and localizing single targets and multiple targets.

关键词： integrated sensing and communication prototype 5G track detection localization trial

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