OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Channel Estimation Interference Cancellation Stochastic Geometry Energy Harvesting Feedback Bi-directional Heterogeneous Networks Equalization HetNet relay networks FBMC Ultra Low Power SC-FDMA TVWS Duplex Reliability CDMA MIMO interference channel capacity in-band full-duplex system interference suppression 5G C-V2V reinforcement learning RSRP weighting and 5G networks. health care 5G mobile communication indoor positioning Vehicle-to-vehicle communication estimated position overlapping Resource sharing Power allocation multi-access edge computing control overhead hybrid Rat-dependent positioning NR positioning smart factory UFMC Handoff Femtocell QAM CoMP power uncertainty - Computation offloading amplify and forward communication Zigbee body area networks resource block management frame structure WVAN inter user interference GFDM mode selection antenna arrays partial overlap LTE-based V2V resource selection maximum likelihood method Communication range Number of training blocks Vehicular communication Uplink SCMA system Dynamic TDD QR Factorization Metaheuristics FS-NOMA cross-link interference user fairness Multi-user Receiver Mode 3 V2X P-NOMA dynamic HetNet spectrum partitioning DQN D-TDD CLI overloading non-orthogonal multiple access (NOMA) OTDOA estimated position updating distributed mode non-orthogonal multiple access Spatial capacity LTE-TDD —Device-to-device (D2D) Location-based massive connectivity
Status : Presented 
Date : 2013-09 
Title : Optimal Transmit Power Control for Energy-Harvesting Cognitive Radio System 
Authors : Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong 
Conference : IEEE VTC 2013 Fall 
Abstract : This paper proposes an optimal transmit power control policy designed to maximize the average throughput of an energy-harvesting secondary network. As the transmit power increases, the energy-harvesting secondary network can enhance its throughput during a slot, but the probability of being active decreases due to the energy shortage. The probability of colliding with the primary signal also decreases as the transmit power increases. The optimal transmit power can be obtained by analyzing the effect of the transmit power on performance, especially as a function of statistics of harvested energy. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...dio+System 
Download : http://mirinae.yonsei.ac.kr/?module=file...e420dd8b84 

Wonsuk Chung; Sungsoo Park; Sungmook Lim; Daesik Hong, "Optimal Transmit Power Control for Energy-Harvesting Cognitive Radio System," Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th , vol., no., pp.1,5, 2-5 Sept. 2013
doi: 10.1109/VTCFall.2013.6692333
keywords: {cognitive radio;energy harvesting;optimal control;power control;telecommunication control;telecommunication power supplies;energy-harvesting cognitive radio system;energy-harvesting secondary network;harvested energy statistics;optimal transmit power control;Batteries;Cognitive radio;Data communication;Energy consumption;Optimized production technology;Sensors;Throughput},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6692333&isnumber=6691970

List of Articles
No.
Status Datesort
4 [IEEE PIMRC] Kwonho Song, Jemin Lee, Sungsoo Park, and Daesik Hong, "Spectrum-Efficient Operating Policy for Energy-Harvesting Clustered Wireless Networks", IEEE PIMRC, Sep.2013 file Presented  2013-09 
» [IEEE VTC] Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong, "Opimal Transmit Power Control for Energy-Harvesting Cognitive Radio System," IEEE VTC2013 Fall, Sep.2013 file Presented  2013-09 
2 [IEEE PIMRC] Sungsoo Park, Jihaeng Heo, Beomju Kim, Wonsuk Chung, Hano Wang, and Daesik Hong,"Optimal Mode Selection for Cognitive Radio Sensor Networks with RF Energy Harvesting", IEEE PIMRC, Sep. 2012 file Presented  2012-09 
1 [Other Conf. Papers] Sungsoo Park, Seokwon Lee, Beomju Kim, Daesik Hong, Jemin Lee, "Energy-Efficient Opportunistic Spectrum Access in Cognitive Radio Networks with Energy Harvesting", CogART2011, Nov. 2011 (Invited Paper) file Presented  2011-11