Generative Adversarial Networks Based Digital Twin Channel Modeling for Intelligent Communication Networks

Integration of digital twin(DT)and wireless channel provides new solution of channel modeling and simulation,and can assist to design,optimize and evaluate intelligent wireless communication system and networks.With DT channel modeling,the generated channel data can be closer to realistic channel measurements without requiring a prior channel model,and amount of channel data can be significantly increased.Artificial intelligence(AI)based modeling approach shows outstanding performance to solve such problems.In this work,a channel modeling method based on generative adversarial networks is proposed for DT channel,which can generate identical statistical distribution with measured channel.Model validation is conducted by comparing DT channel characteristics with measurements,and results show that DT channel leads to fairly good agreement with measured channel.Finally,a link-layer simulation is implemented based on DT channel.It is found that the proposed DT channel model can be well used to conduct link-layer simulation and its performance is comparable to using measurement data.The observations and results can facilitate the development of DT channel modeling and provide new thoughts for DT channel applications,as well as improving the performance and reliability of intelligent communication networking.

Application of EDA Technology in Intelligent Communication Electronic Circuit

Electronic design automation(EDA)technology is the product of the computer age and finds its foundation in CAD,CAM,CAT,and CAE.EDA is a kind of auxiliary tool in the design process,which requires the designer to carry out the file design work using hardware language as the foundation.Subsequently,the computer system automatically compiles and integrates the file to achieve simulation goals,and can complete the programming download of the target chip.At present,this technology is widely used in the communication of electronic circuits.This paper summarizes EDA technology and analyzes its specific application in communication electronic circuits,aiming at promoting the application of CDA technology and promoting the further development of the communication field.

Opportunities and Paths of Regional Cultural Landscape Development in Gansu Province in the Context of Intelligent Communication

The national strategic opportunities,intelligent information communication opportunities and cultural landscape resource advantages in the context of intelligent communication are analyzed.The development path of regional cultural landscape in Gansu is studied,and it is held that the uniqueness and difference of Gansu regional cultural landscape should be maintained.The effective combination of regional cultural landscape and local social life landscape is advocated to enhance the information activation and landscape form diversity of regional cultural landscape in intelligent communication.Meantime,following the trend of globalization,the development strategy of going global through intelligent communication can be realized relying on technological innovation.

ZTE Communications Special Issue on Data Intelligence

The new ear of AI is brought about by three converging forces:the advance of AI algorithms,the availability of big data,and the increasing popularity of high performance computing platforms.Data-driven intelligence,or data intelligence,is a new form of AI technologies that leverages the

ZTE Communications Special Issue on Data Intelligence

The new ear of AI is brought about by three eonverging forees： the advanee of AI algorithms, the availability of big data, and the inereasing popularity of high performanee computing platforms. Data-driven intelligenee, or data intelligenee, is a new fore1 of AI teehnologies that leverages the power of big data.

ZTE Communications Call for Papers Special Issue on Using Artificial Intelligence in Internet of Things

Internet of Things has received much attention over the past de- cade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gather- ing and related problems are becoming more complex and uncer- tain. Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data. This special issue of ZTE Communications will be dedicated to development, trends, challenges, and current practices in artificial intelligence for the Internet of Things. Position papers, technology overviews, and case studies are all welcome. Appropriate topics include but are not limited to：

Toward Wisdom-Evolutionary and Primitive-Concise 6G:A New Paradigm of Semantic Communication Networks

The sixth generation(6G)mobile networks will reshape the world by offering instant,efficient,and intelligent hyper-connectivity,as envisioned by the previously proposed Ubiquitous-X 6G networks.Such hyper-massive and global connectivity will introduce tremendous challenges into the operation and management of 6G networks,calling for revolutionary theories and technological innovations.To this end,we propose a new route to boost network capabilities toward a wisdom-evolutionary and primitive-concise network(WePCN)vision for the Ubiquitous-X 6G network.In particular,we aim to concretize the evolution path toward the WePCN by first conceiving a new semantic representation framework,namely semantic base,and then establishing an intelligent and efficient semantic communication(IE-SC)network architecture.In the IE-SC architecture,a semantic intelligence plane is employed to interconnect the semantic-empowered physical-bearing layer,network protocol layer,and application-intent layer via semantic information flows.The proposed architecture integrates artificial intelligence and network technologies to enable intelligent interactions among various communication objects in 6G.It features a lower bandwidth requirement,less redundancy,and more accurate intent identification.We also present a brief review of recent advances in semantic communications and highlight potential use cases,complemented by a range of open challenges for 6G.

An Overview of Intelligent Wireless Communications Using Deep Reinforcement Learning

Future wireless communication networks tend to be intelligentized to accomplish the missions that cannot be preprogrammed.In the new intelligent communication systems,optimizing the network perfor-mance has become a challenge due to the ever-increasing complexity of the network environment.New theories and technologies for intelligent wireless communications have obtained widespread attention,among which deep reinforcement learning(DRL)is an excellent machine learning technology.DRL has great potential in enhancing the intelligence of wireless communication systems while overcoming the above challenge.This paper presents a review on applications of DRL in intelligent wireless com-munications with focuses on millimeter wave(mmWave),intelligent caching and unmanned aerial vehicle(UAV)scenarios.We first introduce the concepts and basic prin-ciples of single/multi-agent DRL techniques.Then,we review the related works where DRL algorithms are used to address emerging issues in wireless communications.These issues include mmWave communication,intelligent caching,UAV aided communication,and handover/access control in HetNets.Finally,critical challenges and future research directions of applying DRL in intelligent wireless communications are outlined.

Capability-based context ontology modeling and reasoning for C^4ISR communication

Modeling and reasoning on domain contexts play a key role for adding intelligence to communication services, and the approach of capability-based requirement engineering ensures the scientificity and accuracy of requirement elicitation. This paper presents a capability-based context ontology modeling approach for command and control, communication, computer, intelligence, surveillance and reconnaissance（C^4ISR） communication. Primarily, a capability-based C^4ISR communication meta-concept model and a C^4ISR communication context meta-ontology are constructed. The context ontology is established under the constraints of the C^4ISR communication context meta-ontology, and furthermore, algorithms are proposed to support context reasoning based on description logic. A case study is presented to demonstrate applicability of the proposed method.

Special Issue on Using Artificial Intelligence in Internet of Things Guest Editors: Fuji Ren, Yu Gu

Interact of Things has received much attention over the past de cade. With the rapid increase in the use of smart devices, we are now able to collect big data on a daily basis. The data we are gather ing and related problems arc becoming more complex and uncer tain. Researchers have therefore turned to AI as an efficient way of dealing with the problems created by big data.

The Analysis of Frequency Reuse Irregular Patterns in Mobile Telephone Network

Some frequency reuse irregular patterns in radionetwork design are proposed,the characteristic and applica-tion measures of these patterns are analyzed.Then this paperaccounts that frequency reuse irregular patterns is a usefulway to impove spectrum efficiency and it is significative forartificial intelligence to be applied in this field.

Survey on Reinforcement Learning Applications in Communication Networks

In recent years,intelligent communication has drawn huge research efforts in both academia and industry.With the advent of 5G technology,intelligent wireless terminals and intelligent communication networks are increasingly under intensive study.Artificial intelligence enhances the network capability with automatic and adaptive adjustment.Reinforcement learning(RL)and deep reinforcement learning(DRL)are two powerful techniques in artificial intelligence which can learn the optimal decision according to the environment feedback.In this paper,we focus on the latest research progress on RL and DRL applied in three emerging technologies including mobile edge computing(MEC),software defined network(SDN)and network virtualization in 5G.The prospect of further research and development in the future is preliminarily forecasted.

A Modeling and Analysis Approach for C^3I Systems in Conflicting Environment

A modling and analysis approach is proposed for Command,Control,Communication,and inteligence(C3I)systems in complex combat environments.This approach is carried out by characterizing both the basic quantities that are dispeusible for describing the system,and the causal relations among the quantities.The model of the system is determined by identifying the types of the causal relations among the quantities.By using this approach an example for a C3I system in an antiair battle is analyzed in detail.