OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Resource Allocation Neural Networks Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Energy Harvesting Heterogeneous Networks Device-to-Device (D2D) Cross-link interference Cell Search SINR mismatch problem Ultra-dense small cell networks HetNet Idle cells Spectral efficiency Dynamic TDD interference management NOMA FBMC selection diversity Handoff outage probability mode selection Coexisting network multi-spectral achievable sum rate Grant-free Transmission Filtered OFDM tabu-search bursty traffic model flexible duplex 5G Asynchronous Transmission Preamble Deep learning Shortened TTI automatic repeat request (ARQ) Two-way communications transmission capacity (TC) in-band full-duplex system self-interference cancellation Complexity Ultra-dense small cell sensing duration Correlated MIMO Cognitive relay networks Heterogeneous channel estimation capability Bi-directional full-duplex full-duplex cellular full-duplex relay Simultaneous Sensing and Transmission UWB OQAM Windowing Vehicle-to-vehicle communication prototype filter pilot signal LTE-based V2V link reliability resource size control interference to noise ratio eigen decomposition TS-W-OFDM C-V2V massive connectivity Reliability Vehicle-to-Vehicle full-spreading NOMA Resource management Cooperative systems Coexistence scenarios mixed numerology 6G B5G TDD configuration Cell-free Railway CP-OFDM MLP Full-duplex Computation offloading Mobility non-orthogonal multiple access HST interference mitigation Edge computing Multiple access Singular Vale Decomposition
Status : Published 
Date : 2016-01 
Title : Adaptive Mode Selection in D2D Communications Considering the Bursty Traffic Model 
Authors : Joonki Kim, Seokjung Kim, Jonghyun Bang, and Daesik Hong 
Journal : IEEE Communications Letters 
Abstract : This paper proposes a new mode selection scheme to improve the overall packet rates for device-to-device (D2D) communications systems in the bursty traffic model. We consider three types of D2D modes, i.e., dedicated mode, cellular mode, and reuse mode. In the full-buffer traffic model, if all the uplink (UL) channels are occupied by cellular users, the dedicated and cellular modes are not available for D2D user equipments (DUEs) to choose. However, in bursty traffic model, the traffic load is time-varying and DUEs have the option to select the dedicated or cellular modes. To determine the best mode for a DUE in the bursty traffic, we propose a mode selection scheme which considers the traffic load for the bursty traffic model. Numerical results show that the proposed scheme achieves a remarkable enhancement in average end-to-end delay, dropping probability and packet rate. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...ic%20Model 
Download : https://mirinae.yonsei.ac.kr/?module=fil...le_srl=179 

Kim, Joonki; Kim, Seokjung; Bang, Jonghyun; Hong, Daesik, "Adaptive Mode Selection in D2D Communications Considering the Bursty Traffic Model", Communications Leters, IEEE, Jan 2016

doi: 10.1109/LCOMM.2016.2521371

keywords: {Device-to-Device Communication;mode selection;bursty traffic model}

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7390167

List of Articles
No.
Status Datesort
» [IEEE Commun. Lett.] Joonki Kim, Seokjung Kim, Jonghyun Bang, and Daesik Hong, "Adaptive Mode Selection in D2D Communications Considering the Bursty Traffic Model", IEEE Comm. Letters, Jan 2016 file Published  2016-01