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 Idle cells NOMA HetNet Ultra-dense small cell networks Spectral efficiency FBMC SINR mismatch problem Dynamic TDD interference management Sub-band filtering Mobility eigen decomposition outage probability Railway selection diversity Handoff Asynchronous Transmission flexible duplex 5G achievable sum rate interference mitigation Preamble Deep learning Grant-free Transmission MLP in-band full-duplex system sensing duration Correlated MIMO Simultaneous Sensing and Transmission transmission capacity (TC) Two-way communications Filtered OFDM automatic repeat request (ARQ) UWB full-duplex cellular OQAM bursty traffic model mode selection Bi-directional full-duplex Heterogeneous channel estimation capability Cognitive relay networks Channel estimation error multi-spectral pilot signal resource size control interference to noise ratio link reliability Coexistence scenarios mixed numerology Cooperative systems Resource management LTE-based V2V Vehicle-to-vehicle communication CP-OFDM full-spreading NOMA massive connectivity non-orthogonal multiple access Singular Vale Decomposition prototype filter Vehicle-to-Vehicle Reliability C-V2V Intentional frequency offset (IFO) B5G Multiple access Asynchronism Degree of freedom (DoF) Asynchronous non-orthogonal multiple access (NOMA) TDD configuration 6G Cell-free tabu-search Complexity Computation offloading Full-duplex Coexisting network Edge computing HST
Status : Published 
Date : 2013-12 
Title : Optimal Spectrum Access for 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 in which a secondary transmitter harvests energy from ambient sources or wireless power transfer systems while opportunistically accessing the spectrum licensed to the primary network. The primary traffic is modeled as a time-homogeneous discrete Markov process, and the secondary transmitter may not be able to operate continuously due to sporadic and unstable energy sources. At the beginning of each time slot, the secondary transmitter thus needs to determine whether to remain idle so as to conserve energy, or to execute spectrum sensing to acquire knowledge of the current spectrum occupancy state. It also needs to configure the spectrum sensor detection threshold to achieve an effective tradeoff between false alarms and misdetections. This sequential decision-making, done to maximize the expected total throughput, requires the joint design of a spectrum sensing policy and a detection threshold under the energy causality and collision constraints. We formulate this stochastic optimization problem as a constrained partially observable Markov decision process(POMDP), and then convert it to a computationally tractable unconstrained POMDP. Numerical results show that the proposed approach enables efficient usage of the harvested energy by exploiting the temporal correlation of the primary traffic. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...er=6661321 
Download : http://mirinae.yonsei.ac.kr/?module=file...799453f8dc 
Park, Sungsoo; Hong, Daesik, "Optimal Spectrum Access for Energy Harvesting Cognitive Radio Networks," Wireless Communications, IEEE Transactions on , vol.12, no.12, pp.6166,6179, December 2013
doi: 10.1109/TWC.2013.103113.130018
keywords: {Batteries;Correlation;Energy harvesting;Radio transmitters;Sensors;Throughput;Cognitive radio network;energy causality;energy harvesting;opportunistic spectrum access;partially observable Markov decision process (POMDP);renewable energy;spectrum access policy},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6661321&isnumber=6685967
List of Articles
No.
Status Datesort
6 [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 
5 [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 
4 [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 
» [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 
2 [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 
1 [IEEE Trans. Wireless Commun.] Jemin Lee, Hano Wang, Sungtae Kim, and Daesik Hong, "Sensing Threshold Control for Fair Coexistence of Heterogeneous Systems in Open Spectrum" IEEE Trans. Wireless Comm., Dec 2009 file Published  2009-12