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Online Time Sharing Policy in Energy Harvesting Cognitive Radio Network with Channel Uncertainty [article]

Kalpant Pathak, Prachi Bansal, Adrish Banerjee
2017 arXiv   pre-print
This paper considers an energy harvesting underlay cognitive radio network operating in a slotted fashion.  ...  We propose a robust online transmission policy by jointly optimizing the time sharing between the two phases and transmit power of secondary user, which maximizes its average throughput by a given time  ...  Energy harvesting cognitive radio network (EH-CRN) is one such solution which improves the bandwidth efficiency of the network while ensuring perpetual operation of the devices at the same time [1] -  ... 
arXiv:1709.00352v1 fatcat:ybb4x4o3yrfabpz4twhkxfyneu

On Green Energy Powered Cognitive Radio Networks [article]

Xueqing Huang, Tao Han, Nirwan Ansari
2014 arXiv   pre-print
To optimize and adapt the usage of green energy according to the opportunistic spectrum availability, we discuss research challenges in designing cognitive radio networks which are powered by energy harvesters  ...  Green energy powered cognitive radio (CR) network is capable of liberating the wireless access networks from spectral and energy constraints.  ...  power in the cognitive radio networks.  ... 
arXiv:1405.5747v2 fatcat:nyt6hmx2rnbxposqeops5rbgqm

On Green-Energy-Powered Cognitive Radio Networks

Xueqing Huang, Tao Han, Nirwan Ansari
2015 IEEE Communications Surveys and Tutorials  
To optimize and adapt the usage of green energy according to the opportunistic spectrum availability, we discuss research challenges in designing cognitive radio networks which are powered by energy harvesters  ...  Index Terms-Cognitive radio (CR), spectrum efficiency, energy efficiency, energy harvesting. 1553-877X (c)  ...  power in the cognitive radio networks.  ... 
doi:10.1109/comst.2014.2387697 fatcat:f752yycbznbhphrbae7qzdlxam

Advances in Energy Harvesting Communications: Past, Present, and Future Challenges

Meng-Lin Ku, Wei Li, Yan Chen, K. J. Ray Liu
2016 IEEE Communications Surveys and Tutorials  
Index Terms-Energy harvesting, cooperative networks, cognitive radio networks, multi-user interference networks, cellular networks.  ...  scheduling and optimization, implementation of energy harvesting in cooperative, cognitive radio, multi-user and cellular networks, etc.  ...  In [115] , a robust transceiver design is investigated for wireless information and power transmission in underlay multipleinput multiple-output (MIMO) cognitive radio networks with channel uncertainty  ... 
doi:10.1109/comst.2015.2497324 fatcat:eith6csyyfhwbnlzin72n6yuna

Deep Reinforcement Learning Based Dynamic Spectrum Competition in Green Cognitive Virtualized Networks

Quang Vinh Do, Insoo Koo
2021 IEEE Access  
In other work [11] , Yi and Cai investigated spectrum sharing with powerconstrained multi-radio secondary users (SUs) in cognitive radio networks.  ...  Competitive spectrum sharing among multiple secondary users in cognitive radio networks can also enhance the utilization of scarce radio spectrum [1] .  ... 
doi:10.1109/access.2021.3069969 fatcat:vwnwzhp4g5cpjh3lbdt5kikyju

A Survey of Energy and Spectrum Harvesting Technologies and Protocols for Next Generation Wireless Networks

Ashish Padhy, Sandeep Joshi, Sainath Bitragunta, Vinay Chamola, Biplab Sikdar
2020 IEEE Access  
Energy harvesting (EH) and spectrum harvesting (SH) are two promising and useful green communication and networking mechanisms for the next-generation wireless networks.  ...  With the advent of cyber-physical systems and the Internet-of-Things (IoT), the presence of tens of billions of low power sensor devices would soon be a reality.  ...  Sharing of spectrum in the context of cognitive radio (CR) is discussed in [86] , [87] , and spectrum assignment in cognitive radio based IoT is studied in [88] .  ... 
doi:10.1109/access.2020.3046770 fatcat:zgu7faziaje7nimeaayhjoe2yu

2013 Index

2014 IEEE Transactions on Wireless Communications  
-that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  Besbes, Hana, +, TWC October 2013 4916-4931 Cognitive Radio Networks with Energy Harvesting.  ... 
doi:10.1109/twc.2011.09.499-tw1401-index fatcat:w5ya5mg3sbcodb2crtuaoyk3su

Intelligent Wireless Communications Enabled by Cognitive Radio and Machine Learning [article]

Xiangwei Zhou, Mingxuan Sun, Geoffrey Ye Li, Biing-Hwang Juang
2018 arXiv   pre-print
In this paper, we discuss the development of the cognitive radio technology and machine learning techniques and emphasize their roles in improving spectrum and energy utility of wireless communication  ...  The perception capability and reconfigurability are the essential features of cognitive radio while modern machine learning techniques project great potential in system adaptation.  ...  In [101] , an adaptive time and power allocation policy over cognitive broadcast channels is studied.  ... 
arXiv:1710.11240v4 fatcat:elt77cgcxvappbxvspp7evb74u

Optimal Cooperative Cognitive Relaying and Spectrum Access for an Energy Harvesting Cognitive Radio: Reinforcement Learning Approach [article]

Ahmed El Shafie and Tamer Khattab and Hussien Saad and Amr Mohamed
2014 arXiv   pre-print
In this paper, we consider a cognitive setting under the context of cooperative communications, where the cognitive radio (CR) user is assumed to be a self-organized relay for the network.  ...  The optimal policy changes according to the primary and CR users arrival rates to the data and energy queues as well as the channels connectivity.  ...  SYSTEM MODEL The network model adopted in this paper composes of two energy harvesters sharing the same channel resources with different priority of channel accessing.  ... 
arXiv:1403.7735v2 fatcat:lsrwtrvidbcuvby6wav2vhxyhm

Cognitive Capacity Harvesting Networks: Architectural Evolution Toward Future Cognitive Radio Networks

Haichuan Ding, Yuguang Fang, Xiaoxia Huang, Miao Pan, Pan Li, Savo Glisic
2017 IEEE Communications Surveys and Tutorials  
Unlike existing architectures, we introduce a new network entity, called secondary service provider, and deploy cognitive radio capability enabled routers, called cognitive radio routers, in order to effectively  ...  , termed cognitive capacity harvesting network (CCHN), to elaborate on how a CRN architecture can be designed.  ...  networks with cognitive radio technology.  ... 
doi:10.1109/comst.2017.2677082 fatcat:cujzxnqpfbagreyrfjmg6oryru

2013 Annual Index

2014 IEEE Transactions on Mobile Computing  
-that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  Ding, Yong, +, TMC March 2013 412-423 Channel capacity Optimal Online Sensing Sequence in Multichannel Cognitive Radio Networks.  ... 
doi:10.1109/tmc.2014.1 fatcat:auiwkgw5hraghc33kunuaddexq

Wireless Networks with RF Energy Harvesting: A Contemporary Survey [article]

Xiao Lu, Ping Wang, Dusit Niyato, Dong In Kim, Zhu Han
2014 arXiv   pre-print
In this paper, we present an extensive literature review on the research progresses in wireless networks with RF energy harvesting capability, referred to as RF energy harvesting networks (RF-EHNs).  ...  We also explore various key design issues in the development of RF-EHNs according to the network types, i.e., single-hop network, multi-antenna network, relay network and cognitive radio network.  ...  RF-POWERED COGNITIVE RADIO NETWORKS Powering a cognitive radio network (CRN) with RF energy can provide a spectrum-and energy-efficient solution for wireless networking [218] .  ... 
arXiv:1406.6470v6 fatcat:bjmvi4hwfnhvbnodubqipsdija

Spectrum sharing in energy harvesting cognitive radio networks: A cross-layer perspective [article]

Tian Zhang, Wei Chen
2017 arXiv   pre-print
In the paper, we present a cross-layer perspective on data transmission in energy harvesting cognitive radio networks (CRNs).  ...  The delay optimal power allocation is studied while taking into account the randomness of harvested energy, data generation, channel state and the grid price.  ...  In [2] , we studied the spectrum sharing in OFDM-based cognitive radio networks (CRNs).  ... 
arXiv:1611.02472v2 fatcat:wrfysq4kk5cbpoqd2nbokmylq4

Outage Probability Minimization for Energy Harvesting Cognitive Radio Sensor Networks

Fan Zhang, Tao Jing, Yan Huo, Kaiwei Jiang
2017 Sensors  
The incorporation of cognitive radio (CR) capability in wireless sensor networks yields a promising network paradigm known as CR sensor networks (CRSNs), which is able to provide spectrum efficient data  ...  energy, channel fading and the arrival energy by harvesting.  ...  Author Contributions: Fan Zhang conceived of and designed the transmission policies. Yan Huo and Kaiwei Jiang designed the simulations and analyzed the data.  ... 
doi:10.3390/s17020224 pmid:28125023 pmcid:PMC5335934 fatcat:rkvo4uwuyvctzebs6khj32jfhe

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, C., see Li, M  ...  664 Huang, A., see He, H., TWC Dec. 2020 7881-7896 Huang, C., Molisch, A.F., He, R., Wang, R., Tang, P., Ai, B., and Zhong, Z., Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in  ...  ., +, TWC April 2020 2443-2459 Optimal Sensing Policy for Energy Harvesting Cognitive Radio Systems.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54
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