Spectrum Sensing 6G Full duplex Cognitive Radio OFDM Idle cells FBMC Energy Harvesting Ultra-dense small cell networks Bi-Directional stochastic geometry interference management Asynchronous Transmission SINR mismatch problem HetNet Dynamic TDD NOMA Cross-link interference Spectral efficiency bursty traffic model mode selection Device-to-Device (D2D) OQAM Channel estimation error multi-spectral Ultra-dense small cell Heterogeneous channel estimation capability synchronization Bi-directional full-duplex Preamble Intentional frequency offset (IFO) Asynchronism Shortened TTI Deep learning MLP Vehicle-to-vehicle communication Low Earth orbits (LEO) satellite Railway Simultaneous Sensing and Transmission full-duplex relay Cellular networks Latency selection diversity Cognitive relay networks MIMO K-S statistics Long Term Evolution-Advanced 5G networks interference coordination full-duplex cellular interference mitigation sensing duration Correlated MIMO outage probability transmission capacity (TC) Two-way communications self-interference cancellation in-band full-duplex system automatic repeat request (ARQ) achievable sum rate Coexisting network interference to noise ratio link reliability tabu-search massive connectivity resource size control Coexistence scenarios Resource management spectrum sharing mixed numerology Multiple input multiple output (MIMO) New radio non-terrestrial network (NR-NTN) full-spreading NOMA Intentional time offset LTE-based V2V CP-OFDM Singular Vale Decomposition non-orthogonal multiple access Non-orthogonal multiple access (NOMA) Complexity Cooperative systems Reliability B5G Multiple access Cell-free HST Mobility flexible duplex 5G Asynchronous non-orthogonal multiple access (NOMA) Edge computing Full-duplex Filtered OFDM Vehicle-to-Vehicle C-V2V Grant-free Transmission Sub-band filtering Computation offloading TDD configuration Degree of freedom (DoF) Satellite communication
Status : Published 
Date : 2019-10 
Title : An Enhanced Tabu Search based Receiver for Full-spreading NOMA Systems 
Authors : Insik Jung, Hyunsoo Kim, Jinkyo Jeong, 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 

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List of Articles
No.
Status Datesort
3 [IEEE Trans. Wireless Commun.] Joohyun Son, Hakkeon Lee, Insik Jung, and Daesik Hong, "Exploiting Intentional Frequency Offset in NOMA-OFDM Systems: From Basic to Practical", IEEE Transactions on Wireless Communications, 2023 Published  2023-02 
2 [IEEE Wireless Commun. Lett.] Hakkeon Lee, Insik Jung, Jehyun Heo, and Daesik Hong, "Exploiting Intentional Time-domain Offset in Downlink Multicarrier NOMA systems", IEEE Wireless Communications Letters, Apr. 2021 Published  2021-04 
» [IEEE Access] Insik Jung, Hyunsoo Kim, Jinkyo Jeong, Sooyong Choi, and Daesik Hong, "An Enhanced Tabu Search based Receiver for Full-spreading NOMA Systems", IEEE Access, Oct. 2019 Published  2019-10