ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis

Tong Zhang1; Guoliang Li2; Shuai Wang3; Guangxu Zhu4; Gaojie Chen5; Rui Wang2

2023

10.1109/TGCN.2022.3233913

IEEE Transactions on Green Communications and Networking   影响因子和分区

2473-2400

2473-2400

Conventionally, the sensing and communication stages for edge intelligence systems are executed sequentially, leading to an excessive time of dataset generation and uploading. To combat the weakness, this paper proposes to accelerate edge intelligence via integrated sensing and communication (ISAC), where the sensing and communication stages are merged to make the best use of the wireless signals for the dual purpose of dataset generation and uploading. For the proposed ISAC-accelerated edge intelligence system, the resource allocation and beamforming should be jointly optimized to exploit the underlying ISAC benefits. We formulate a joint resource allocation and beamforming optimization problem. Despite the non-convexity, we obtain globally optimal solutions assuming that the constant maximal transmits power, and devise an alternating optimization algorithm for the original problem without such assumption. Furthermore, we analyze the ISAC acceleration gain of the proposed system over that of the conventional edge intelligence system. Both theoretic analysis and simulation results show that ISAC accelerates the conventional edge intelligence system when the duration of generating a sample is more than that of uploading a sample. Otherwise, the ISAC acceleration gain vanishes or even is negative. In this case, we derive a sufficient condition for positive ISAC acceleration gain.

Beamforming edge intelligence resource allocation integrated sensing and communication (ISAC)

SCI ; EI

英语

其他

National Natural Science Foundation of China["62171213","62001310"] ; Open Research Fund from the Guangdong Laboratory of Artificial Intelligence and Digital Economy[GML-KF-22-17] ; Guangdong Basicand Applied Basic Research Project["2021B1515120067","2022A1515010109"]

Telecommunications

Telecommunications

WOS:000944152100036

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20230613540816

Acceleration ; Array processing ; Beamforming ; Job analysis ; Resource allocation

Electromagnetic Waves in Relation to Various Structures:711.2 ; Management:912.2 ; Optimization Techniques:921.5

2-s2.0-85147228299

IEEE

1.Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
3.Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China
4.Shenzhen Research Institute of Big Data, Shenzhen, China
5.5GIC and6GIC, Institute for Communication Systems, University of Surrey, Guildford, UK

Tong Zhang,Guoliang Li,Shuai Wang,et al. ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis[J]. IEEE Transactions on Green Communications and Networking,2023,PP(99):1-1.

Tong Zhang,Guoliang Li,Shuai Wang,Guangxu Zhu,Gaojie Chen,&Rui Wang.(2023).ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis.IEEE Transactions on Green Communications and Networking,PP(99),1-1.

Tong Zhang,et al."ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis".IEEE Transactions on Green Communications and Networking PP.99(2023):1-1.