The upcoming 6G era is expected to see the wide-spreading of the complex intelligent applications (e.g., auto-driving, digital twins and metaverse) over wireless networks. The smooth execution of these applications relies on the tight cooperation of the three basic functionalities, namely sensing, communication, and computation, provided by the 6G networks. However, in traditional wireless networks, these three functionalities are designed separately for different goals: sensing for obtaining high-quality environmental data, communication for data delivery, and computation for executing the downstream task within a certain deadline. Such a separation design principal encounters difficulty in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging 6G applications such as auto-driving.

The previous studies focus on the integration of two of the above three entities. By designing dual-functional signals for both data communication and radar sensing, integrated sensing and communication (ISAC) has been proposed to improve the data sensing and delivering efficiency. Another vein of researches focuses on the joint communication and computation resource management, which includes mobile edge computing (MEC) and over-the-air computation (AirComp). With the rapid increase in data volumes in MEC, the communication and computation capabilities at the network edge become the bottleneck. Particularly, the limited wireless resources make it challenging for the edge server to receive significant amounts of data from edge devices swiftly through wireless links. Hence, many researches have focused on joint communication and computation resource management to tackle this issue in MEC. AirComp, as opposed to “communication before computing”, integrates computing into communication, resulting in a new scheme of “communication while computing”. In contrast to traditional wireless communication over a multi-access channel, which requires separate transmission and decoding of information, AirComp allows edge devices to simultaneously transmit their respective signals on the same frequency band with proper processing, such that the functional computation of the distributed data is accomplished directly over the air. This thus significantly improves the communication and computing efficiency, and considerably reduces the latency required for multiple access and data fusion.

Though the techniques such as ISAC, MEC and AirComp have been regarded as the hot topics in the main conference, the entire ISCC process needs further attention. Particularly, the sensing and communication processes compete for radio resources, and the allowed communication resource further determines the required quantization level such that the quantized features can be transmitted reliably to the edge server under a delay constraint. This thus prompts a new wireless design paradigm of integrated sensing, communication, and computation (ISCC), which comprehensively accounts for the data use in the downstream tasks in 6G .

time

8:30-9:20

9:20-10:10

10:10-10:20

10:20-11:10

11:10–11:25

11:25-11:40

11:40-11:55

11:55-14:00

14:00–14:50

14:50-15:05

15:05-15:20

15:20–15:35

15:35-15:50

15:50-16:00

16:00-16:15

16:15-16:30

16:30-16:45

16:45-17:00

17:00-17:15

17:15-17:30

Arrangement

Keynote Speech by Prof. Kaibin Huang

Keynote Speech by Prof. Seong-Lyun Kim

Coffee Break

Keynote Speech by Prof. Fan Liu

Reconfigurable Intelligent Surface assisted Integrated Sensing, Communication and Computation Systems

Pareto-Optimal Waveform Design for Multi-User and Multi-Target MIMO-ISAC Systems

Low-Overhead OFDM Sensing Waveform Design for 5G NR: A Coprime-based Subcarrier Allocation Approach

Lunch

Keynote Speech by Prof. Jun Zhang

Spectrum Data Graph Structure Learning Based on Dual-view Contrastive Learning for Spectrum Prediction of ISCC

FULL-DUPLEX DECODE-AND-FORWARD RELAY FOR JOINT ENVIRONMENTAL SENSING AND SELF-INTERFERENCE CANCELLATION

ITERATIVE DETECTION ALGORITHM WITH LDPC DECODER IN CYCLIC-PREFIX OTFS SYSTEM

CRB Optimization for Integrated Sensing and Communication Systems using Hybrid Linear-Nonlinear Precoding

Coffee Break

Integrated RNNs for Rainfall Sensing with Wireless Communication Networks

Joint Transmit and Receive Codebook Design for Self-interference Suppression in a mmWave ISAC Terminal Device

UAV POSITION DEPLOYMENT AND POWER OPTIMIZATION BASED ON USER CLUSTERING IN IOT NETWORK

Intelligent Heavy Truck Platooning with ISCC for Enclosed Intermodal Railway-Road Transport Parks

Reliability Study of LEO Satellite Networks Based on Random Linear Network Coding

Directional Terahertz Radio Map-Assisted Federated Obstacle Sensing

IEEE Communications Society Integrated Sensing and Communication Emerging Technology Initiative

IEEE Signal Processing Society Integrated Sensing and Communication Technical Working Group

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