Skip to main content

Resource Allocation and Performance Analysis of Cellular-assisted OFDMA Device-to-Device Communications

Kai, Yuan, Wang, Junyuan, Zhu, Huiling, Wang, Jiangzhou (2018) Resource Allocation and Performance Analysis of Cellular-assisted OFDMA Device-to-Device Communications. IEEE Transactions on Wireless Communications, . ISSN 1536-1276. (doi:10.1109/TWC.2018.2880956) (KAR id:69997)

PDF Publisher pdf
Language: English


Download (5MB) Preview
[thumbnail of JZU.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
PDF Pre-print
Language: English

Restricted to Repository staff only

Contact us about this Publication
[thumbnail of FINAL VERSION.pdf]
Official URL
http://dx.doi.org/10.1109/TWC.2018.2880956

Abstract

Resource allocation of cellular-assisted device-todevice (D2D) communication is very challenging when frequency reuse is considered among multiple D2D pairs within a cell, as intense inter D2D interference is difficult to tackle and generally causes extremely large signaling overhead for channel state information (CSI) acquisition. In this paper, a novel resource allocation framework for cellular-assisted D2D communication is developed with low signaling overhead while maintaining high system capacity. By utilizing the spatial dispersion property

proposed resource allocation framework, especially in dense D2D deployed systems.

Item Type: Article
DOI/Identification number: 10.1109/TWC.2018.2880956
Uncontrolled keywords: Device-to-Device (D2D) communications, resource allocation, intra-cell interference, cellular networks
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband communication systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Huiling Zhu
Date Deposited: 28 Dec 2018 18:10 UTC
Last Modified: 16 Feb 2021 13:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69997 (The current URI for this page, for reference purposes)
Wang, Jiangzhou: https://orcid.org/0000-0003-0881-3594
  • Depositors only (login required):

Downloads

Downloads per month over past year