DQN-based resource allocation for NOMA-MEC-aided multi-source data stream

被引:24
|
作者
Ling, Jing [1 ]
Xia, Junjuan [1 ]
Zhu, Fusheng [2 ]
Gao, Chongzhi [1 ]
Lai, Shiwei [1 ]
Balasubramanian, Venki [3 ]
机构
[1] Guangzhou Univ, Sch Comp Sci, Guangzhou, Peoples R China
[2] Guangdong New Generat Commun & Network Innovat Ins, Guangzhou, Peoples R China
[3] Federat Univ, Sch Sci Engn & Informat Technol, Mt Helen, Vic 3350, Australia
关键词
MEC; NOMA; Multi-source data stream; DQN; TRANSMISSION;
D O I
10.1186/s13634-023-01005-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with multiple sources and one computing access point (CAP), in which NOMA technology is applied to transmit multi-source data streams to CAP for computing. To measure the performance of the considered NOMA-aided MEC network, we first design the system cost as a linear weighting function of energy consumption and delay under the NOMA-aided MEC network. Moreover, we propose a deep Q network (DQN)-based offloading strategy to minimize the system cost by jointly optimizing the offloading ratio and transmission power allocation. Finally, we design experiments to demonstrate the effectiveness of the proposed strategy. Specifically, the designed strategy can decrease the system cost by about 15% compared with local computing when the number of sources is 5.
引用
收藏
页数:15
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