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UE autonomous resource selection for D2D communications: Explicit vs. implicit approaches

机译:对D2D通信的UE自主资源选择:显式与隐式方法

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With the increasing demand for wireless traffic, Device-to-Device (D2D) communications underlaying the cellular network is beneficial to offload traffic and further improve throughput and latency. 3GPP has introduced D2D communications for proximity-based services since Rel-12. The assumption of half-duplex mode and lack of a feedback mechanism make UE autonomous resource selection challenging in terms of collision minimization, which is significant when the eNB is out of function or when UEs move out of coverage. However, the existing design (i.e., Mode 2 communications) fails to address this problem. In this paper, we comprehensively explore UE autonomous resource allocation based on the specified frame structure including Scheduling Assignment (SA) and data transmission. Moreover, we propose the enhanced explicit approach and enhanced implicit approach by utilizing the sensing result to minimize collisions. Simulation results show that the proposed approaches outperform Rel-12 Mode 2 in terms of data collision probability and throughput. The enhanced implicit approach achieves low data collision probability and high throughput by SA admission control to prohibit excess transmissions. The pros and cons among the proposed approaches and Rel-12 Mode 2 are compared. The insights can be further adopted for Vehicle-to-Vehicle (V2V) communications and D2D communications enhancement.
机译:随着对无线流量需求的越来越大,蜂窝网络的设备到设备(D2D)通信是有利于卸载流量,进一步提高吞吐量和延迟。 3GPP为自Rel-12以来引入了基于近距离的服务的D2D通信。半双工模式的假设和缺乏反馈机制使UE自主资源选择在碰撞最小化方面具有挑战性,当eNB失效时或者当UE移出覆盖时,这是显着的。但是,现有设计(即模式2通信)无法解决此问题。在本文中,我们基于包括调度分配(SA)和数据传输的指定帧结构全面地探索UE自主资源分配。此外,我们提出了增强的显式方法,并通过利用感测结果来最大限度地减少碰撞来增强隐式方法。仿真结果表明,在数据碰撞概率和吞吐量方面,所提出的方法优于Rel-12模式2。增强的隐式方法通过SA准入控制实现了低数据冲突概率和高吞吐量,以禁止传输过剩。比较了所提出的方法和Rel-12模式2中的利弊。车辆到车辆(V2V)通信和D2D通信增强,可以进一步采用洞察。

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