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)
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Official URL: http://dx.doi.org/10.1109/VTCSpring.2016.7504365 |
Abstract
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 |
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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: | [37325] UNSPECIFIED |
Depositing User: | Kornelia Jumel |
Date Deposited: | 16 Aug 2016 13:56 UTC |
Last Modified: | 05 Nov 2024 10:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/54607 (The current URI for this page, for reference purposes) |
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