Novel D2D resource partitioning and allocation schemes for SC‐FDMA‐based public safety systems. Issue 3 (19th August 2016)

• Record Type: Journal Article
• Authors: Park, Seung‐Hoon; Kim, Jun Suk; Gu, Jaheon; Chung, Min Young
• Other Names: Bader Faouzi guestEditor.; Martinod Laurent guestEditor.; Baldini Gianmarco guestEditor.; Frantz Fred guestEditor.; Kandeepan Sithamparanathan guestEditor.; Sallent Oriol guestEditor.
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 28:Issue 3(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2016-08-19
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.3093
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: Device‐to‐device (D2D) communication is essential for the provision of the broadcasting service for public safety(PS) terminals in out‐of‐network coverage. A sensing‐based resource‐allocation scheme is desirable, rather than a random approach, for next‐generation, PS systems, so that higher data rates and a massive connectivity can be supported. The half‐duplex and resource collisions are the main design constraints, especially for the single carrier frequency division multiplexing (SC‐FDMA)‐based D2D broadcast system. A novel resource‐allocation scheme is proposed in this paper, whereby the resource partitions are managed adaptively based on sensing results. The system‐level evaluation and analysis results show that the proposed scheme significantly improves upon the overall network performance of the conventional scheme, especially with respect to the resource‐collision rate and the throughput. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : In this paper, we propose a novel D2D (device‐to‐device) resource partitioning and allocation scheme for 5G public safety networks. Both half‐duplex and resource collision are main design constraints especially for the SC‐FDMA‐based D2D broadcast system. In this paper, we propose a resource allocation mechanism by adaptively manage resource partitions based on sensing results. The system‐level evaluation and analytical results show that the proposed scheme significantly improves overall network performance to the conventional scheme from the resource collision rate and throughput perspectives.