NDLI: Supporting legacy and RF-energy harvesting devices in multi-cells OFDMA networks

Content Provider	IET Digital Library
Author	Sarwar, Muhammad Zeeshan Chin, Kwan Wu
Abstract	A multi-cell network that uses orthogonal frequency division multiplexing access (OFDMA) is studied here. Unlike prior works, the proposed network consists of both (i) legacy data users that do not have energy harvesting capability and have a minimum data rate requirement and (ii) radio frequency (RF)-energy harvesting devices with a minimum energy requirement. It studies sub-band allocation to users and transmits power allocation at base stations. The authors formulate a mixed-integer non-linear program and also present two heuristics to assign sub-band to base stations. Numerical results show that RF energy harvesting devices will not affect network capacity if legacy data users require a high data rate. In addition, the results obtained from the two proposed heuristics are ∼ 95% of the optimal solution.
Starting Page	3967
Ending Page	3976
Page Count	10
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 22, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0303
Journal	IET Communications
Publisher Date	2021-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Station Cellular Radio Energy Harvesting Frequency Division Multiple Access Integer Programming Legacy Data User Minimum Data Rate Requirement Minimum Energy Requirement Mixed-integer Nonlinear Program Mobile Radio System Modulation And Coding Method Multicell Network Multicells OFDMA Network Multiple Access Communication Network Capacity Nonlinear Programming OFDM Modulation Optimisation Technique Orthogonal Frequency Division Multiplexing Access RF Energy Harvesting Device RF-energy Harvesting Device Telecommunication Power Management
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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