Skip to main content
Kent Academic Repository

Network-assisted D2D Discovery Method by using efficient power control strategy

Albasry, Hind, Ahmed, Qasim Zeeshan (2016) Network-assisted D2D Discovery Method by using efficient power control strategy. Excel file. Located at: Kent Academic Repository. 10.1109/VTCSpring.2016.7504365. (doi:10.1109/VTCSpring.2016.7504365) (KAR id:54607)

Microsoft Excel (CDF SINR at BS, CDF SINR at DUE, Probability of successful discovery)
Language: English
Download this file
(Microsoft Excel/11MB)
[thumbnail of CDF SINR at BS, CDF SINR at DUE, Probability of successful discovery]
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL:


Abstract—Neighbour discovery is an important process in device-to-device (D2D) communications. In cellular networks, D2D discovery signals are multiplexed with cellular signals causing

in-band emission interference (IEI). IEI degrades D2D user equipments (DUEs) discovery range and cellular user equipments (CUEs) throughput. In this paper, a new discovery method is

proposed by applying power control strategy. In this method, DUEs are arranged into two groups depending on whether the received power of a reference signal sent from the based station

(BS) to DUEs is larger than a given threshold. A high received reference signal at a DUE indicates strong IEI which may be caused by the DUE to the BS. Then, group-1 contains DUEs which

cause low IEI while group-2 contains DUEs which cause strong IEI. A new strategy to mitigate IEI is proposed for group-2. Firstly, CUEs send scheduling information in predefined blocks.

Secondly, DUEs estimate the symbols which are orthogonal to CUE. This will assist DUEs to boost their discovery transmission power, reduce IEI and improve the discovery performance

Item Type: Datasets / databases
DOI/Identification number: 10.1109/VTCSpring.2016.7504365
Projects: iCIRRUS
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5103.59 Optical communications
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 Aug 2016 13:56 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

Ahmed, Qasim Zeeshan.

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.