Full Duplex HetNet FBMC relay networks Channel Estimation Interference Cancellation interference channel capacity MIMO CLI synchronization interference suppression in-band full-duplex system D-TDD 5G Multiple Antennas inter user interference OFDM mode selection WVAN channel estimation error UFMC 5G mobile communication timing misalignment ultra-dense small cell network GFDM reinforcement learning multi-access edge computing health care RSRP weighting - Computation offloading —Device-to-device (D2D) antenna arrays power uncertainty resource block management frame structure QAM Poisson arrival Short burst transmission mMTC User association Traffic Capacity OCBT Waveforms Time-division duplex self interference cancellation body area networks cellular radio quality of service amplify and forward communication Cognitive radio telecommunication traffic intercarrier interference Zigbee indoor positioning intersymbol interference spectrum sharing Cell-free Uplink SCMA system Number of training blocks Reliability Communication range Mode 3 resource allocation P-NOMA partial overlap Vehicular communication resource selection maximum likelihood method V2X user fairness cross-link interference Dynamic TDD LTE-TDD Metaheuristics QR Factorization Multi-user Receiver FS-NOMA non-orthogonal multiple access C-V2V OTDOA mMIMO User grouping packet delay estimated position updating Resource sharing Rat-dependent positioning NR positioning estimated position overlapping non-orthogonal multiple access (NOMA) overloading Power allocation Location-based distributed mode DQN spectrum partitioning massive connectivity and 5G networks. dynamic HetNet smart factory
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