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Resource allocation for multiple-pair D2D communications in cellular networks (Fig. 5)

Kai, Yuan, Zhu, Huiling (2015) Resource allocation for multiple-pair D2D communications in cellular networks (Fig. 5). IEEE Data file. 10kB. Located at: Kent Academic Repository. 10.1109/ICC.2015.7248776. (doi:10.1109/ICC.2015.7248776) (KAR id:54053)


Device-to-device (D2D) communication is proposed as a vital technology to increase the system capacity and spectral efficiency, while reducing the latency and energy consumption. Existing researches usually investigate the resource allocation for D2D communications underlaying the orthogonal frequency division multiple access (OFDMA) based cellular network, un- der the scenario in which spectrum can be spatially reused. However, most of these researches did not consider individual power constraint of each D2D device (e.g. a smart phone), which is generally limited for every device. Therefore, with the consideration of the transmit power limitation per device, the resource allocation issue is investigated in this paper for the multiple D2D pairs underlaid OFDMA-based cellular system with the target of achieving the optimal system throughput. By exploring the relationship between the number of subcarriers per D2D pair and maximum power constraint for each D2D pair, a sub-optimal joint power and subcarrier allocation algorithm is proposed to achieve high spectral efficiency with low complexity. Simulation results demonstrate that the performance of the proposed algorithm is very close to the optimal solution obtained by global exhaustive searching method. Meanwhile, the effect of number of subcarriers allocated to each D2D pair on the system performance is analysed through simulation results.

Item Type: Datasets / databases
DOI/Identification number: 10.1109/ICC.2015.7248776
Projects: iCIRRUS
Uncontrolled keywords: Device-to-Device(D2D); inter-cell interference management; resource allocation
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Organisations -1 not found.
Depositing User: Kornelia Jumel
Date Deposited: 16 Feb 2016 17:12 UTC
Last Modified: 07 Sep 2023 22:08 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Kai, Yuan.

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Zhu, Huiling.

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