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 : Published 
Date : 2014-01 
Title : Spectrum Sensing Optimization for Energy-Harvesting Cognitive Radio Systems 
Authors : Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong 
Journal : IEEE Transactions on Wireless Communications 
Abstract : We consider an energy-harvesting cognitive radio system where the secondary transmitter harvests energy. This system operates under an energy causality constraint mandating that the average energy consumption must not exceed the average harvested energy, and a collision constraint mandating the protection of the primary system. The purpose of this paper is to identify the optimal pairing of the sensing duration and the energy detector’s sensing threshold in order to maximize the average throughput of the secondary network. Since the sensing duration and sensing threshold are intertwined with the energy causality constraint, they need to be redesigned with the purpose of conserving energy in mind. Hence, the sensing duration must be shorter while still satisfying the collision constraint. The numerical results show that the optimal sensing duration is determined based on which constraint, collision or energy causality, needs to have priority. In addition, the simulation results show a pairing of the optimal sensing duration and sensing threshold provided by the coordination between the two constraints, which gives insight into how to design them. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...io+Systems 
Download : http://mirinae.yonsei.ac.kr/?module=file...068126a254 
Wonsuk Chung; Sungsoo Park; Sungmook Lim; Daesik Hong, "Spectrum Sensing Optimization for Energy-Harvesting Cognitive Radio Systems," Wireless Communications, IEEE Transactions on , vol.13, no.5, pp.2601,2613, May 2014
doi: 10.1109/TWC.2014.032514.130637
keywords: {cognitive radio;energy consumption;energy harvesting;radio spectrum management;radio transmitters;energy consumption;energy-harvesting cognitive radio systems;secondary network;secondary transmitter harvests energy;spectrum sensing optimization;Batteries;Energy consumption;Interference;Radio transmitters;Sensors;Throughput;Cognitive radio networks;energy-harvesting;sensing duration;spectrum sensing},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6783667&isnumber=6814382
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» [IEEE Trans. Wireless Commun.] Wonsuk Chung, Sungsoo Park, Sungmook Lim, and Daesik Hong, "Spectrum Sensing Optimization for Energy-Harvesting Cognitive Radio Systems", IEEE Trans. on Wireless Comm., Jan. 2014 file Published  2014-01