OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Channel Estimation Interference Cancellation Stochastic Geometry Energy Harvesting Feedback Bi-directional Heterogeneous Networks Equalization HetNet relay networks FBMC Ultra Low Power SC-FDMA TVWS Duplex Reliability CDMA MIMO interference channel capacity in-band full-duplex system interference suppression 5G C-V2V reinforcement learning RSRP weighting and 5G networks. health care 5G mobile communication indoor positioning Vehicle-to-vehicle communication estimated position overlapping Resource sharing Power allocation multi-access edge computing control overhead hybrid Rat-dependent positioning NR positioning smart factory UFMC Handoff Femtocell QAM CoMP power uncertainty - Computation offloading amplify and forward communication Zigbee body area networks resource block management frame structure WVAN inter user interference GFDM mode selection antenna arrays partial overlap LTE-based V2V resource selection maximum likelihood method Communication range Number of training blocks Vehicular communication Uplink SCMA system Dynamic TDD QR Factorization Metaheuristics FS-NOMA cross-link interference user fairness Multi-user Receiver Mode 3 V2X P-NOMA dynamic HetNet spectrum partitioning DQN D-TDD CLI overloading non-orthogonal multiple access (NOMA) OTDOA estimated position updating distributed mode non-orthogonal multiple access Spatial capacity LTE-TDD —Device-to-device (D2D) Location-based massive connectivity
Status : Presented 
Date : 2019-10 
Title : Multi-stage Receiver based on Tabu Search (TS) Algorithm for FS-NOMA Systems 
Authors : Insik Jung, Jinkyo Jeong, and Daesik Hong 
Conference : ICEIC 
Abstract : This paper proposes a new scheme for multiuser receiver for full-spreading non-orthogonal multiple access (FS-NOMA) systems. We exploit the tabu-search (TS) algorithm which is sort of meta-heuristic algorithms. However, direct application of TS algorithm causes performance degradation because of the low quality initial solution. To overcome this, we propose a multi-stage receiver based on QR factorization technique. Simulation results demonstrate that the proposed receiver outperforms conventional FSNOMA receivers and the complexity of it is reasonable. 

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» [ICEIC] Insik Jung, Jinkyo Jeong, and Daesik Hong, "Multi-stage Receiver based on Tabu Search (TS) Algorithm for FS-NOMA Systems", ICEIC 2019 Presented  2019-10