OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Resource Allocation Spectrum Sensing Neural Networks Full duplex Stochastic Geometry Equalizer Bi-Directional Feedback Energy Harvesting Heterogeneous Networks Femtocell Device-to-Device (D2D) Idle cells Cross-link interference FBMC Spectral efficiency Cell Search SINR mismatch problem NOMA Ultra-dense small cell networks HetNet interference management Dynamic TDD outage probability selection diversity achievable sum rate bursty traffic model Cognitive relay networks mode selection multi-spectral 5G Complexity Singular Vale Decomposition OQAM tabu-search Filtered OFDM TDD configuration flexible duplex Handoff GFDM Heterogeneous channel estimation capability self-interference cancellation in-band full-duplex system Channel estimation error coexistence CP-OFDM MU-MIMO automatic repeat request (ARQ) Two-way communications UWB full-duplex relay full-duplex cellular Simultaneous Sensing and Transmission Correlated MIMO transmission capacity (TC) sensing duration Bi-directional full-duplex Vehicle-to-Vehicle prototype filter pilot signal Coexistence scenarios resource size control Vehicle-to-vehicle communication link reliability interference to noise ratio eigen decomposition TS-W-OFDM Resource management Cooperative systems LTE-based V2V Aggregate interference time-frequency efficiency mixed numerology Windowing Reliability C-V2V Asynchronous Transmission Full-duplex Computation offloading Grant-free Transmission Preamble full-spreading NOMA massive connectivity Edge computing Multiple access MLP Deep learning Railway Mobility interference mitigation HST non-orthogonal multiple access
Status : Accepted 
Date : 2021-09 
Title : Resource Configuration for Full-duplex-aided Multiple-Access Edge Computation Offloading 
Authors : Hakkeon Lee, Jaeyoung Choi, and Daesik Hong 
Journal : IEEE Transactions on Wireless Communications 
Abstract : Multiple-access edge computation offloading (MECO) systems have been highlighted as a solution for extending the battery life and computation capability of mobile devices. However, in scenarios where information data and computation offloading (CO) data coexist, CO users and information users affect each other. It means that the communication resources for information data transmission are inevitably reduced by the communication resources allocated for CO in the conventional half-duplex (HD) based systems. Hence, improving the spectral efficiency of MECO systems in coexistence scenarios is essential, and we investigate a full-duplex (FD)-aided MECO (FD-MECO) system. A step-wise resource configuration is proposed to improve the performance of computation offloading under the information data rate constraint. The main idea is to improve spectral efficiency by maximizing the opportunity of operating in FD mode. By comparing all the communication phases in FD-MECO systems, the proposed resource configuration maximizes the amount of delivered CO data while guaranteeing the required information data rate. The simulation results show that FD-MECO systems with the proposed resource configuration always outperform HD-MECO systems. 

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List of Articles
No.
Statussort Date
11 [IEEE Comm. Surveys & Turotials] Dongkyu Kim, Haesoon Lee, and Daesik Hong, "A Survey of In-band Full-duplex Transmission: From the Perspective of PHY and MAC Layers", IEEE Comm. Surveys & Turotials file Published  2015-02 
10 [IEEE Trans. Veh. Technol.] Seunglae Kam, Dongkyu Kim, Haesoon Lee, and Daesik Hong, "Bi-directional Full-duplex Systems in a Multi-spectrum Environment", IEEE Trans. Veh. Technol., Sep. 2014 file Published  2014-09 
9 [IEEE Trans. Veh. Technol.] Dongkyu Kim,Sungsoo Park, Hyungsik Ju, Daesik Hong, "Transmission Capacity of Full-duplex based Two-way Ad-hoc Networks with ARQ Protocol", IEEE Trans. Veh. Technol., Jan. 2014 file Published  2014-01 
8 [IEEE Trans. Veh. Technol.] Dongkyu Kim, Hyungsik Ju, Sungsoo Park, and Daesik Hong, "Effects of Channel Estimation Error on Full-duplex Two-way Networks," IEEE Trans. Veh. Technol., Nov. 2013 file Published  2013-11 
7 [IEEE Trans. Wireless Commun.] Hyungjong Kim, Sungmook Lim, Hano Wang and Daesik Hong, "Optimal Power Allocation and Outage Analysis for Cognitive Full Duplex Relay Systems", IEEE Trans. Wireless Comm., Oct. 2012 file Published  2012-10 
6 [IEEE J. Sel. Areas Commun.] Hyungsik Ju, Sungmook Lim, Dongkyu Kim, H. Vincent Poor, Daesik Hong,"Full Duplexity in Beamforming-Based Multi-Hop Relay Networks", IEEE Journal on Selected Areas in Communications, Sep. 2012 file Published  2012-09 
5 [IEEE Trans. Veh. Technol.] Taehoon Kwon, Youngju Kim, and Daesik Hong, "Comparison of FDR and HDR under Adaptive Modulation with Finite Length Queues" IEEE Trans. Veh. Technol., Feb 2012 file Published  2012-02 
4 [IEEE Trans. Veh. Technol.] Taehoon Kwon, Sungmook Lim, Sooyong Choi, and Daesik Hong,"Optimal Duplex Mode for DF Relay in Terms of Outage Probability," IEEE Trans. Veh. Technol., Sept. 2010 file Published  2010-09 
3 [IEEE Commun. Mag.] Hyungsik Ju, Eunsung Oh, Daesik Hong, "Catching Resource-Devouring Worms in Next-Generation Wireless Relay Systems - Two-way Relay and Full-Duplex Relay" IEEE Communication Magazine., Sep 2009 file Published  2009-09 
2 [IEEE Trans. Wireless Commun.] Hyungsik Ju, Eunsung Oh, Daesik Hong 'Improving Efficiency of Resource Usage in Two-Hop Full Duplex Relay Systems based on Resource Sharing and Interference Cancellation' IEEE Trans. Wireless Comm., Aug 2009 file Published  2009-08 
» [IEEE Trans. Wireless Commun.] Hakkeon Lee, Jaeyoung Choi, and Daesik Hong, "Resource Configuration for Full-duplex-aided Multiple-Access Edge Computation Offloading" in IEEE Transactions on Wireless Communications, September 2021 Accepted  2021-09