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Resource Configuration for Full-Duplex-Aided Multiple-Access Edge Computation Offloading
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DOI：10.1109/TWC.2021.3116022.png)
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Abstract
En 中文
Multiple-access edge computation offloading (MECO) systems have been highlighted as a solution for extending the battery life and computation capability of mobile devices. However, in scenarios where information data and computation offloading (CO) data coexist, CO users and information users affect each other. It means that the communication resources for information data transmission are inevitably reduced by the communication resources allocated for CO in the conventional half-duplex (HD) based systems. Hence, improving the spectral efficiency of MECO systems in coexistence scenarios is essential, and we investigate a full-duplex (FD)-aided MECO (FD-MECO) system. A step-wise resource configuration is proposed to improve the performance of computation offloading under the information data rate constraint. The main idea is to improve spectral efficiency by maximizing the opportunity of operating in FD mode. By comparing all the communication phases in FD-MECO systems, the proposed resource configuration maximizes the amount of delivered CO data while guaranteeing the required information data rate. The simulation results show that FD-MECO systems with the proposed resource configuration always outperform HD-MECO systems.
Keywords:
Interference
Mobile handsets
Wireless communication
Resource management
Task analysis
Signal to noise ratio
Servers
Multiple access
edge computing
computation offloading
full-duplex
TDD configuration
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W