OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
Status : Presented 
Date : 2013-07 
Title : A New Dynamic CoMP Based on User Location in Downlink Small Cell Networks 
Authors : Kwonjong Lee, Jihaeng Heo, Yosub Park, and Daesik Hong 
Conference : ITC-CSCC2013 
Abstract : This paper considers coordinated multi-point (CoMP) in a downlink small cell network. We propose a new dynamic CoMP to reduce the computational complexity. The proposed scheme selects the CoMP mode between the joint transmission (JT) or the coordinated beamforming (CB) by utilizing the user location. Numerical results show that the proposed scheme greatly alleviate the computational complexity, while achieving almost same throughput of the conventional method, in the worst case, 97%. 
Download : http://mirinae.yonsei.ac.kr/?module=file...21268559ce 

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List of Articles
No.
Statussort Date
2 [ICEIC] Jinkyo Jeong, Ilmin Kim, and Daesik Hong, "Deep Reinforcement Learning-based Task Offloading Decision in the Time Varying Channel" ICEIC 2021 Presented  2020-12 
» [ITC-CSCC] Kwonjong Lee, Jihaeng Heo, Yosub Park, and Daesik Hong,"A New Dynamic CoMP Based on User Location in Downlink Small Cell Networks", ITC-CSCC, July 2013 file Presented  2013-07