OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Resource Allocation Neural Networks Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Energy Harvesting Heterogeneous Networks Device-to-Device (D2D) Cross-link interference Cell Search SINR mismatch problem Ultra-dense small cell networks HetNet Idle cells Spectral efficiency Dynamic TDD interference management NOMA FBMC selection diversity Handoff outage probability mode selection B5G multi-spectral achievable sum rate Grant-free Transmission Filtered OFDM tabu-search bursty traffic model flexible duplex 5G Asynchronous Transmission Preamble Deep learning Shortened TTI automatic repeat request (ARQ) Two-way communications transmission capacity (TC) in-band full-duplex system self-interference cancellation Complexity Ultra-dense small cell sensing duration Correlated MIMO Cognitive relay networks Heterogeneous channel estimation capability Bi-directional full-duplex full-duplex cellular full-duplex relay Simultaneous Sensing and Transmission UWB OQAM Windowing Vehicle-to-vehicle communication prototype filter pilot signal LTE-based V2V link reliability resource size control interference to noise ratio eigen decomposition TS-W-OFDM C-V2V massive connectivity Reliability Vehicle-to-Vehicle full-spreading NOMA Resource management Cooperative systems Coexistence scenarios mixed numerology 6G Cell-free Coexisting network Multiple access Railway CP-OFDM MLP Edge computing Full-duplex Mobility non-orthogonal multiple access HST interference mitigation Computation offloading TDD configuration Singular Vale Decomposition
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
List of Articles
Status Datesort
4 [IEEE Trans. Wireless Commun.] Sungsoo Park, and Daesik Hong, "Achievable Throughput of Energy Harvesting Cognitive Radio Networks," IEEE Trans. Wireless Commun., Feb. 2014 file Published  2014-02 
» [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 
2 [IEEE Trans. Wireless Commun.] Sungsoo Park and Daesik Hong, "Optimal Spectrum Access for Energy Harvesting Cognitive Radio Networks," IEEE Transactions on Wireless Communications, Dec. 2013 file Published  2013-12 
1 [IEEE Trans. Wireless Commun.] Sungsoo Park, Hyungjong Kim, and Daesik Hong, "Cognitive Radio Networks with Energy Harvesting," IEEE Trans. on Wireless Comm., Mar. 2013 file Published  2013-03