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 : 2019-10 
Title : An Enhanced Tabu Search based Receiver for Full-spreading NOMA Systems 
Authors : Insik Jung, Hyunsoo Kim, Jinkyo Jung, Sooyong Choi, and Daesik Hong 
Journal : IEEE Access 
Abstract : Full-spreading non-orthogonal multiple access (FS-NOMA) is one category of the candidate technologies designed to support massive connectivity in wireless communication systems. Before it can handle the massive volume of user connections, it is important for the FS-NOMA to develop a receiver that successfully decodes target data from non-orthogonally overlapped receiving signals. However, the decoding performance of conventional interference-cancellation (IC)-based receivers is far from optimal because of error-propagation problems. To improve the decoding performance, we propose a novel FSNOMA receiver based on the tabu-search (TS) algorithm which is a sort of machine-learning algorithm. Specifically, a novel TS mechanism and a diversification scheme are proposed to overcome the inherent adverse conditions of FS-NOMA systems which lead the TS algorithm to local optima. Simulation results demonstrate that the proposed TS-based receiver has decoding performance that is superior to that of the conventional IC-based receiver. The results also show that the proposed receiver accommodates a higher number of user connections with a given packet drop rate threshold. 
URL : https://ieeexplore.ieee.org/document/889...uthoralert 


List of Articles
Status Datesort
» [IEEE Access] Insik Jung, Hyunsoo Kim, Jinkyo Jung, Sooyong Choi, and Daesik Hong, "An Enhanced Tabu Search based Receiver for Full-spreading NOMA Systems", IEEE Access, Oct. 2019 Published  2019-10 
4 [IEEE Access] Haesoon Lee, Yosub Park, and Daesik Hong, "Resource Split Full Duplex to Mitigate Inter-cell Interference in Ultra-Dense Small Cell Networks", IEEE Access, Jun. 2018 Published  2018-06 
3 [IEEE Access] Yosub Park, and Daesik Hong, "Theoretical Analysis of Interference Effect from Idle Cells in Ultra-dense Small Cell Networks", IEEE Access, Apr. 2018 Published  2018-04 
2 [IEEE Access] Seokwon Lee, Seokjung Kim, Yosub Park, Sooyong Choi and Daesik Hong, "Effect of Unpredictable Interference on MU-MIMO Systems in HetNet", IEEE Access, Nov. 2017 Published  2017-11 
1 [IEEE Access] Kwonjong Lee, Joonki Kim, Yosub Park, Hanho Wang, and Daesik Hong, "Latency of Cellular-based V2X: Perspectives on TTI-proportional-latency and TTI-independent-latency", IEEE Access, Jul. 2017 file Published  2017-07