OFDM Multiple Antennas Cognitive Radio Relay Synchronization CDMA Channel Estimation Spectrum Sharing Interference Cancellation Spectrum Sensing Full duplex Neural Networks Resource Allocation Stochastic Geometry Equalizer Bi-Directional Feedback Heterogeneous Networks Energy Harvesting Femtocell Device-to-Device (D2D) Idle cells FBMC Ultra-dense small cell networks Cell Search Spectral efficiency SINR mismatch problem Cross-link interference HetNet Dynamic TDD self-interference cancellation full-duplex relay in-band full-duplex system automatic repeat request (ARQ) transmission capacity (TC) full-duplex cellular Two-way communications sensing duration selection diversity GFDM interference mitigation Correlated MIMO mode selection multi-spectral outage probability achievable sum rate Cognitive relay networks Vehicular and wireless technologies bursty traffic model UL grant free NOMA Asynchronized system Reliability Latency Cellular networks LTE-TDD Iterative decoder Bi-directional full-duplex OQAM UWB MU-MIMO coexistence Link adaptation beamforming Simultaneous Sensing and Transmission CP-OFDM Long Term Evolution-Advanced Aggregate interference singular value decomposition MIMO 5G networks time-frequency efficiency K-S statistics Time spreading Windowing Vehicle-to-vehicle communication LTE-based V2V interference coordination prototype filter pilot signal TS-W-OFDM eigen decomposition link reliability interference to noise ratio tabu-search resource size control C-V2V Coexistence scenarios interference management Resource management mixed numerology Vehicle-to-Vehicle massive connectivity Complexity non-orthogonal multiple access full-spreading NOMA Filtered OFDM Singular Vale Decomposition 5G flexible duplex Cooperative systems
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

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» [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