D2D Communications Underlaying Wireless Powered Communication Networks

In this correspondence paper, we investigate the resource allocation problem for D2D communications underlaying wireless powered communication networks, where multiple D2D pairs harvest energy from a power station equipped with multiple antennas and then transmit information signals simultaneously o...

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Vydané v:IEEE transactions on vehicular technology Ročník 67; číslo 8; s. 7872 - 7876
Hlavní autori: Wang, Haichao, Wang, Jinlong, Ding, Guoru, Han, Zhu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Communication networks
Communications networks
Convex functions
D.C. programming
Device-to-device communication
device-to-device communications
Energy harvesting
Energy transmission
fractional programming
Iterative methods
Mathematical programming
Nonlinear programming
Optimization
Power control
Programming
Resource allocation
Throughput
Wireless communication
Wireless communications
Wireless networks
wireless powered communication networks
ISSN:0018-9545, 1939-9359
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Popis
Shrnutí:In this correspondence paper, we investigate the resource allocation problem for D2D communications underlaying wireless powered communication networks, where multiple D2D pairs harvest energy from a power station equipped with multiple antennas and then transmit information signals simultaneously over the same spectrum resource. The aim is to maximize the sum throughput via joint time scheduling and power control, while satisfying the energy causality constraints. The formulated nonconvex problem is first transformed into a nonlinear fractional programming problem with a tactful reformulation. Then, by leveraging difference of two convex functions programming, a suboptimal solution to the nonconvex problem is obtained by iteratively solving a sequence of convex problems. Simulation results demonstrate that the proposed scheme works well in different scenarios and can significantly improve the system throughput compared with the-state-of-the-art schemes.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2018.2832068