Resource Allocation for Wireless Powered Hybrid Multiple Access Networks

Guangchi ZHANG; Zhichao ZENG; Miao CUI; Fan LIN

doi:10.11999/JEIT180219

Volume 40 Issue 12

Nov. 2018

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Guangchi ZHANG, Zhichao ZENG, Miao CUI, Fan LIN. Resource Allocation for Wireless Powered Hybrid Multiple Access Networks[J]. Journal of Electronics & Information Technology, 2018, 40(12): 3013-3019. doi: 10.11999/JEIT180219

Citation:

Guangchi ZHANG, Zhichao ZENG, Miao CUI, Fan LIN. Resource Allocation for Wireless Powered Hybrid Multiple Access Networks[J]. Journal of Electronics & Information Technology, 2018, 40(12): 3013-3019. doi: 10.11999/JEIT180219

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Resource Allocation for Wireless Powered Hybrid Multiple Access Networks

doi: 10.11999/JEIT180219

1.
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
2.
Guangzhou GCI Science & Technology Co., Ltd., Guangzhou 510310, China

Funds: The National Natural Science Foundation of China (61571138), The Science and Technology Plan Project of Guangdong Province (2017B090909006, 2016B090904001), The Science and Technology Plan Project of Guangzhou City (201803030028)

Received Date: 2018-03-07
Rev Recd Date: 2018-08-13

Available Online: 2018-08-24

Publish Date: 2018-12-01

Abstract

Abstract

Wireless powered technology is an effective way to extend the lifetime of wireless network nodes. A wireless powered hybrid multiple access system is studied that is consist of a base station and multiple users in clusters. The transmission of the system is divided into two phases. The base station broadcasts energy to the users in the first phase. The users transmit information to the base station in the second phase. The users among different clusters transmit in the time division multiple access manner, while the users in the same cluster transmit in the non-orthogonal multiple access manner. Joint phase time duration allocation and power allocation are investigated at the base station and the users in order to improve the spectrum efficiency and user fairness, respectively. Two algorithms are proposed, which maximize the system throughput and the minimum throughput of the clusters, respectively. Simulation results show that the two proposed algorithms can effectively increase spectral efficiency and guarantee fairness of user clusters, respectively.
- Wireless powered communication networks,
- Non-Orthogonal Multiple Access (NOMA),
- User clusters,
- Throughput,
- Fairness

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References(17)

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