OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Resource Allocation Spectrum Sensing Full duplex Neural Networks Stochastic Geometry Equalizer Bi-Directional Feedback Energy Harvesting Heterogeneous Networks Femtocell Device-to-Device (D2D) Dynamic TDD SINR mismatch problem Cell Search Idle cells Ultra-dense small cell networks interference management NOMA FBMC Cross-link interference HetNet Spectral efficiency full-duplex relay full-duplex cellular self-interference cancellation Two-way communications Cognitive relay networks automatic repeat request (ARQ) in-band full-duplex system achievable sum rate MIMO interference to noise ratio transmission capacity (TC) singular value decomposition mode selection outage probability multi-spectral selection diversity OQAM Link adaptation beamforming coexistence Iterative decoder LTE-TDD resource size control UL grant free MU-MIMO GFDM UWB Simultaneous Sensing and Transmission Correlated MIMO bursty traffic model Bi-directional full-duplex Time spreading Heterogeneous channel estimation capability sensing duration LTE-based V2V time-frequency efficiency massive connectivity Preamble Aggregate interference Long Term Evolution-Advanced interference coordination 5G networks Windowing prototype filter TS-W-OFDM Grant-free Transmission Complexity Asynchronous Transmission eigen decomposition interference mitigation pilot signal K-S statistics Vehicle-to-vehicle communication tabu-search Resource management Cooperative systems Singular Vale Decomposition mixed numerology flexible duplex 5G Reliability C-V2V CP-OFDM link reliability non-orthogonal multiple access full-spreading NOMA Vehicle-to-Vehicle Filtered OFDM Coexistence scenarios
Status : Published 
Date : 2018-08 
Title : Eigendecomposition-Based GFDM for Interference-Free Data Transmission and Pilot Insertion for Channel Estimation 
Authors : Jinkyo Jeong, Yosub Park, Sungwoo Weon, Jintae Kim, Sooyong Choi, and Daesik Hong 
Journal : IEEE Transactions on Wireless Communications 
Abstract : This paper proposes a new generalized frequency division multiplexing (GFDM) system that eliminates the effects of intrinsic interference and makes it possible to insert a pilot for channel estimation without interference. We express inter-subsymbol interference (ISI) and inter-carrier interference (ICI), which represent the intrinsic interference in GFDM systems, in a matrix form. The proposed GFDM system can remove the ISI through pre-processing and post-processing, which are done by eigendecomposition. We analytically derive the sufficient condition for the ICI removal. In this way, the proposed GFDM system is able to eliminate the effects of both the ISI and ICI. Furthermore, we investigate the prototype filter structures of the proposed GFDM system transformed by pre-processing and post-processing. We verify that the changed prototype filter structures are able to insert pilot symbols that are orthogonal to data symbols. Hence, the pilot symbols for channel estimation can be clearly observed. Simulation results demonstrate that the proposed system has better BER performance than conventional GFDM systems when the channel estimation process is considered. 
URL : https://ieeexplore.ieee.org/document/844...uthoralert 

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» [IEEE Trans. Wireless Commun.] Jinkyo Jeong, Yosub Park, Sungwoo Weon, Jintae Kim, Sooyong Choi, and Daesik Hong, "Eigendecomposition-Based GFDM for Interference-Free Data Transmission and Pilot Insertion for Channel estimation", IEEE Trans. on Wireless Comm., Aug. 2018 Published  2018-08