OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
Status : Presented 
Date : 2009-12 
Title : Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-antenna Base Station 
Authors : Seungjin You, Gosan Noh, Jemin Lee, Hano Wang, and Daesik Hong 
Conference : IEEE WCNC 2010 
Abstract : Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...se+Station 
Download : http://mirinae.yonsei.ac.kr/?module=file...86472e5b8f 

You, Seungjin; Noh, Gosan; Lee, Jemin; Wang, Hano; Hong, Daesik; , "Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-Antenna Base Station," Wireless Communications and Networking Conference (WCNC), 2010 IEEE , vol., no., pp.1-6, 18-21 April 2010
doi: 10.1109/WCNC.2010.5506457
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5506457&isnumber=5506094

List of Articles
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» [IEEE WCNC] Seungjin You, Gosan Noh, Jemin Lee, Hano Wang, and Daesik Hong, "Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-antenna Base Station", IEEE WCNC 2010, Dec. 2009 file Presented  2009-12