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Published in: Cluster Computing 1/2017

20-12-2016

A collaborative power control and resources allocation for D2D (device-to-device) communication underlaying LTE cellular networks

Author: Chongdeuk Lee

Published in: Cluster Computing | Issue 1/2017

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Abstract

Device-to-device (D2D) communication under long term evolution-advanced (LTE-A) system is a promising technology that can realize end-to-end communication through the reuse of cellular user resources within a cell. D2D communication can effectively reduce the load of eNodeB, however, it will also cause disturbance to the cellular communications. This paper proposes a collaborative control scheme based on power control and resources allocation for D2D with LTE networks. To accomplish the proposed results, it can be applied the target signal to interference plus noise ratio (SINR) and actual feedback SINR to adjust dynamic power, ensures that the receiver can receive the signal well, also can prevent sender waste too much power or interference other devices. The objective of study focuses on D2D communication under the condition of the cellular communications to minimize the interferences. Therefore in aspects of resource allocation, cellular communications use resource blocks (RBs) first, then D2D communications distribution and use of the remaining RBs. The transmission system run out of RBs when using the D2D communication, system can switch resource sharing mode, control in a certain range of interference to reuse cellular network’s RBs, while one D2D pair can uses resource from multi-cellular users applied to raise the throughput of the D2D system and the utilization ratio of the cell resources. The results show that the proposed scheme does not cause serious interference in cellular networks, meanwhile ensure the D2D communication’s throughput.

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Metadata
Title
A collaborative power control and resources allocation for D2D (device-to-device) communication underlaying LTE cellular networks
Author
Chongdeuk Lee
Publication date
20-12-2016
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-016-0706-2

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