Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks
Joint Authors
Ni, Wei
Lu, Lingyun
Wang, Tian
Li, Kai
Gao, Bo
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a suboptimal approach for resource allocation of massive MIMO-OFDMA systems for high-speed train (HST) applications.
An optimization problem is formulated to alleviate the severe Doppler effect and maximize the energy efficiency (EE) of the system.
We propose to decouple the problem between the allocations of antennas, subcarriers, and transmit powers and solve the problem by carrying out the allocations separately and iteratively in an alternating manner.
Fast convergence can be achieved for the proposed approach within only several iterations.
Simulation results show that the proposed algorithm is superior to existing techniques in terms of system EE and throughput in different system configurations of HST applications.
American Psychological Association (APA)
Lu, Lingyun& Wang, Tian& Ni, Wei& Li, Kai& Gao, Bo. 2018. Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216071
Modern Language Association (MLA)
Lu, Lingyun…[et al.]. Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1216071
American Medical Association (AMA)
Lu, Lingyun& Wang, Tian& Ni, Wei& Li, Kai& Gao, Bo. Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216071