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 : 2014-02 
Title : Achievable Throughput of Energy Harvesting Cognitive Radio Networks 
Authors : Sungsoo Park, and Daesik Hong 
Journal : IEEE Transactions on Wireless Communications 
Abstract : We consider energy harvesting cognitive radio networks to improve both energy efficiency and spectral efficiency. The goal of this paper is to analyze the theoretically achievable throughput of the secondary transmitter, which harvests energy from ambient sources or wireless power transfer systems while opportunistically accessing the spectrum licensed to the primary network. By modeling the temporal correlation of the primary traffic according to a time-homogeneous discrete Markov process, we derive the upper bound on the achievable throughput as a function of the energy arrival rate, the temporal correlation of the primary traffic, and the detection threshold for a spectrum sensor. The optimal detection threshold is then derived to maximize the upper bound on the achievable throughput under an energy causality constraint and a collision constraint. The energy causality constraint mandates that the total consumed energy should not exceed the total harvested energy, while the collision constraint is required to protect the primary network from secondary transmission. Analytical results show the temporal correlation of the primary traffic to enable efficient usage of the harvested energy by preventing the secondary transmitter from accessing the spectrum that may be occupied by the primary network. 
URL : http://ieeexplore.ieee.org/xpls/abs_all....&tag=1 
Download : http://mirinae.yonsei.ac.kr/?module=file...a2e6650928 
Park, S.; Hong, D., "Achievable Throughput of Energy Harvesting Cognitive Radio Networks," Wireless Communications, IEEE Transactions onvol.13, no.2, pp.1010,1022, Feb. 2014
doi: 10.1109/TWC.2013.121713.130820
keywords: {Cognitive radio network;achievable throughput;energy causality;energy harvesting;opportunistic spectrum access;renewable energy},
URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6697934&tag=1
List of Articles
Status Datesort
» [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 
3 [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