At present, 5G has entered the commercial scale stage. Accelerating the deep integration of 5G with various fields has become an important driving force for high-quality economic and social development. Meanwhile, with the continuous evolution of mobile communications technology, 6G has become a hotspot of global scientific and technological innovation and development. Many countries and regions in the world have adopted many approaches, such as formulating plans and increasing project funding, to promote 6G vision requirements, technological research, standardization, and international cooperation. This paper tracks the latest research progress in global 6G, analyzes and sorts out the global 6G development situation. It also puts forward suggestions for promoting 6G development.
6G helps people to realize a deep integration between the real physical world and the virtual digital world. To meet the development trend of intelligent, immersive and global business applications, the future network development needs to seamlessly integrate the network world, the digital world and the physical world. It is necessary to build a network architecture system integrating communication, sensing, intelligence and computing. This paper studies the technical requirements, architectures and schemes of 6G integrated communication, sensing, intelligence and computing, and puts forward the specific evolution direction and technology. Based on the wireless network integrating communication, sensing, intelligence and computing, it analyzes some application cases such as network intelligent energy saving, intelligent orchestration and physical layer intelligence.
As the fundamental document for 6G, Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond puts forward typical scenarios and capability indicator systems for 6G and indicates the direction for the development of 6G technology in the future. This paper introduces the six usage scenarios proposed in Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond. Then, it explains how the 6G network architecture evolves to support the technical means that need to support these scenarios. In addition, it introduces the progress of the 5G-Advanced related standards being studied and specified.
The industrial internet is a product of the deep integration of the new generation of information and communication technology with the manufacturing industry. Through 5G networks, equipment, production lines, factories, raw materials, and products are closely connected, achieving intelligent manufacturing in industrial production. The manufacturing industry has a wide range of industries and has diverse communication requirements, making it difficult for 5G networks to meet the communication needs of all industries. This paper analyzes the typical communication requirements of the core production links of the industrial internet, proposes preliminary ideas for the design of the IMT-2030 system, and provides strategic suggestions for the subsequent research and development work of IMT-2030.
To connect intelligent in 6G, it is necessary to obtain and utilize information from the environment through sensing technologies. Channel reconstruction information can be obtained by using environmental knowledge provided by sensing, which helps to improve communication efficiency. 6G will integrate communication and sensing into a system. However, there are still some key challenges in implementing the integrated sensing and communication (ISAC) technology, such as air interface design, joint waveform optimization, hardware distortion and sharing. This paper studies environment reconstruction in multiple-transmission/reception point(multi-TRP) sensing scenarios enabled by ISAC networks. It proposes a multi-TRP and multi-static sensing architecture based on the scattering group assumption. Then, it introduces a scattering group tracking scheme to reconstruct the parameters and states of the communication channel. Finally, through verification of measured data, it can achieve decimeter-level sensing accuracy and degree-level channel reconstruction.
The multiple access technology has been regarded as a landmark technology for the upgrading of mobile communication systems. It is used to increase the system capacity or the number of access users. For the typical scenarios and key performance indicators of 6G, this paper analyzes the requirements for multiple access technology, focusing on massive communication scenarios. Then, it proposes an uncoordinated random access and transmission technology and conducts a performance analysis and a simulation evaluation to verify its feasibility in meeting 6G requirements.
To achieve the vision of 6G, besides developing the key 6G technologies, it is necessary to deepen the integrated development of 6G with other industries and technical fields. First, taking cloud 3D reconstruction as an example, this paper focuses on analyzing the necessity of service cloudification and the potential technical solutions, and discusses in depth the logic of network and service integration. Then, it proposes that the network and service integration is not a simple combination of networks and service technologies. Instead, the network and service integration requires cross-domain consideration and integrated design, which can give full play to the advantages of 6G network in terms of transmission and computing power, and further benefit the society. Finally, this paper proposes the future research direction.
Extremely large-scale array has brought new opportunities for communication by effectively increasing the transmission distance and overcoming the path loss. In the extremely large-scale array system, the user and the scatterer are likely to be located in the near-field radiation region. Therefore, the communication system should adopt an accurate spherical wave model. However, research on near-field communication for extremely large-scale array is still in its initial stage and faces some challenges such as the high cost of codebook search and high complexity of beam tracking. This paper analyzes the key problems in near-field communication for extremely large-scale array, including beam training, beam tracking and visibility regions of antenna based on existing research. Then, it presents the challenges and proposes the future vision.
With the explosive growth of communication devices, channel environments become increasingly complicated, which increases the pilot overhead of conventional channel estimation methods to maintain the estimation accuracy. However, the added extra overhead will lead to a decrease of system throughput. To solve this problem in the OFDM system, a channel estimation method based on the generative adversarial network (GAN) is first proposed. Then, the GAN model is used to learn the mapping relationship between the low-dimensional latent vector and the real channel samples. Finally, a joint pilot configuration and channel estimation optimization problem is considered to be solved.
As China officially enters into an aging society, falls of the elderly have been concerned in recent years. To deal with this problem, wireless sensing (such as Wi-Fi sensing) is used to detect and alarm falls in time. The realization of wireless sensing technology is based on the reflection characteristics of electromagnetic waves. The signals generated by the transmitter are reflected by various objects in the indoor environment to produce different propagation paths, and finally superimpose together at the receiving end. Those signals carry information such as the orientations and activity states of the objects. By establishing a connection between the received signals and the states of the actual objects, the objects can be positioned and their actions can be identified. This paper studies the fall detection based on wireless channel state information, and verifies the feasibility of the scheme by constructing practical experimental environments.
The metaverse is a comprehensive application of the new generation of information technology integration and innovation. It can deeply integrate the digital space and the physical world, and is expected to give birth to a batch of new products, new models and new business forms. The metaverse is a future industry with high growth potential. Based on the practical experience of Beijing’s sub-center, Zhejiang Province, Zhangjiang Town of Shanghai and other places, this paper takes Suzhou Industrial Park as an example. The current situation and existing problems of the park are analyzed, and specific implementation suggestions are proposed.
Extreme conditions are the current focus and difficulty of emergency communication. First, this paper analyzes the emergency communication requirements under extreme conditions. Then, it analyzes the weak links existing in the current emergency communication support capabilities. Finally, it proposes a scheme for improving emergency communication support capabilities. The scheme includes developing advanced and applicable emergency communication equipment, building better robustness and resilience emergency communications networks, developing an intelligent and accurate command and dispatch system, and building a complete and professional emergency communication team.
A huge number of patients suffer from ophthalmic diseases, which can lead to disability if left untreated. The ophthalmic diseases not only affect life quality of patients, but also cause a heavy medical burden on society. Meanwhile, there is a shortage of ophthalmologists, and there are differences in ophthalmic treatment facilities and technologies between primary medical institutions and tertiary hospitals. China is currently facing an unequal allocation of medical resources. The machine learning technology has important research significance for improving the ability of ophthalmology screening and realizing early intervention of diseases. This paper analyzes and summarizes the application status of machine learning technology in the auxiliary diagnosis and treatment of ophthalmic diseases. Then, according to the characteristics of medical equipment using machine technologies, it analyzes the regulatory difficulties and puts forward development suggestions.
Information communication products based on mimic defense technologies can realize non-specific immunity to threats such as unknown vulnerabilities, backdoors, viruses or Trojan horses by introducing dynamical heterogeneous redundancy. In order to effectively evaluate the endogenous security gain of mimic defense products, based on the common characteristics of existing mimic defense products, this paper proposes an index measurement model to evaluate the endogenous security gain of mimic defense products by studying the key elements and attributes that affect the security gain of mimic defense products. This provides a reference for the evaluation of endogenous security gain of mimic defense products.