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 : 2014-02 
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 
2 [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 
1 [IEEE Trans. Wireless Commun.] Jihaeng Heo, Hyungsik Ju, Sungsoo Park, Eunsun Kim, and Daesik Hong, "Simultaneous Sensing and Transmission in Cognitive Radio," IEEE Transactions on Wireless Communications, Jan. 2014 file Published  2014-01