OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Energy Harvesting Stochastic Geometry Bi-directional Equalization relay networks FBMC HetNet CDMA channel capacity SC-FDMA interference MIMO Ultra Low Power Duplex TVWS CLI in-band full-duplex system D-TDD interference suppression Reliability 5G C-V2V indoor positioning reinforcement learning RSRP weighting User grouping Rat-dependent positioning Communication range multi-access edge computing hybrid - Computation offloading —Device-to-device (D2D) estimated position updating control overhead resource block management estimated position overlapping Femtocell NR positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP packet delay power uncertainty ultra-dense small cell network GFDM antenna arrays 5G mobile communication UFMC WVAN mode selection inter user interference health care Vehicular communication cross-link interference resource selection FS-NOMA Dynamic TDD Number of training blocks Mode 3 Uplink SCMA system Multi-user Receiver LTE-TDD user fairness smart factory V2X Metaheuristics Location-based QR Factorization partial overlap P-NOMA dynamic HetNet spectrum partitioning Cell-free and 5G networks. overloading massive connectivity DQN mMIMO distributed mode non-orthogonal multiple access OTDOA maximum likelihood method Resource sharing Power allocation non-orthogonal multiple access (NOMA)
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