Spectrum Sensing 6G Full duplex Cognitive Radio OFDM Idle cells FBMC Energy Harvesting Ultra-dense small cell networks Bi-Directional stochastic geometry interference management Asynchronous Transmission SINR mismatch problem HetNet Dynamic TDD NOMA Cross-link interference Spectral efficiency bursty traffic model mode selection Device-to-Device (D2D) OQAM Channel estimation error multi-spectral Ultra-dense small cell Heterogeneous channel estimation capability synchronization Bi-directional full-duplex Preamble Intentional frequency offset (IFO) Asynchronism Shortened TTI Deep learning MLP Vehicle-to-vehicle communication Low Earth orbits (LEO) satellite Railway Simultaneous Sensing and Transmission full-duplex relay Cellular networks Latency selection diversity Cognitive relay networks MIMO K-S statistics Long Term Evolution-Advanced 5G networks interference coordination full-duplex cellular interference mitigation sensing duration Correlated MIMO outage probability transmission capacity (TC) Two-way communications self-interference cancellation in-band full-duplex system automatic repeat request (ARQ) achievable sum rate Coexisting network interference to noise ratio link reliability tabu-search massive connectivity resource size control Coexistence scenarios Resource management spectrum sharing mixed numerology Multiple input multiple output (MIMO) New radio non-terrestrial network (NR-NTN) full-spreading NOMA Intentional time offset LTE-based V2V CP-OFDM Singular Vale Decomposition non-orthogonal multiple access Non-orthogonal multiple access (NOMA) Complexity Cooperative systems Reliability B5G Multiple access Cell-free HST Mobility flexible duplex 5G Asynchronous non-orthogonal multiple access (NOMA) Edge computing Full-duplex Filtered OFDM Vehicle-to-Vehicle C-V2V Grant-free Transmission Sub-band filtering Computation offloading TDD configuration Degree of freedom (DoF) Satellite communication
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