OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
Status : Presented 
Date : 2012-10 
Title : Energy-Efficient Spectrum Access for Ultra Low Power Sensor Networks 
Authors : Seokwon Lee, Sungsoo Park, Gosan Noh, Yosub Park and Daesik Hong 
Conference : IEEE MILCOM 
Abstract : This paper investigates a dynamic spectrum access (DSA) scheme for ultra low power sensor networks (ULPSN) in an open spectrum where multiple systems coexist and interfere with each other. Low transmission power and simple communication protocol are significant obstacles for ULPSN to operate in the open spectrum. The DSA has been researched to solve this problem by assuming that coexisting systems can perfectly detect each other. However, this assumption is limited for ULPSN because detection of ULPSN in coexisting system is difficult due to sensitivity limitation of spectrum sensing. As a result, available spectrum is more scarce for ULP system than other coexisting systems. Thus, we derive a new Markov chain model of open spectrum access. Based on the Markov chain mode, we design a DSA scheme to maximize the energy efficiency and investigate the channel access and switch policy of the proposed DSA within the framework of partially observable Markov decision process (POMDP). The simulation results demonstrate that the proposed DSA scheme yields improved energy efficiency and lifetime compared to a random channel selection for ULPSN. 
URL : http://ieeexplore.ieee.org/xpl/articleDe...r+Networks 
Download : http://mirinae.yonsei.ac.kr/?module=file...95fd3c7f74 

Seokwon Lee; Sungsoo Park; Gosan Noh; Yosub Park; Daesik Hong, "Energy-efficient spectram access for ultra low power sensor networks," MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012 , vol., no., pp.1,6, Oct. 29 2012-Nov. 1 2012
doi: 10.1109/MILCOM.2012.6415750
keywords: {Markov processes;energy conservation;low-power electronics;protocols;radio spectrum management;telecommunication power management;wireless sensor networks;DSA scheme;Markov chain model;POMDP;ULPSN;channel access;coexisting systems;communication protocol;dynamic spectrum access scheme;energy efficiency;energy-efficient spectrum access;low transmission power;open spectrum access;partially observable Markov decision process;random channel selection;sensitivity limitation;spectrum sensing;switch policy;ultra low power sensor networks;Energy consumption;Energy efficiency;Interference;Markov processes;Niobium;Sensors;Switches},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415750&isnumber=6415559

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» [IEEE MILCOM] Seokwon Lee, Sungsoo Park, Gosan Noh, Yosub Park and Daesik Hong, "Energy-Efficient Spectrum Access for Ultra Low Power Sensor Networks", IEEE MILCOM, October 2012 file Presented  2012-10