Journal ArticleDOI
Breathe to Save Energy: Assigning Downlink Transmit Power and Resource Blocks to LTE Enabled IoT Networks
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TLDR
This letter proposes a power control and resource block allocation scheme called breathing for an IoT network that performs better than the traditional maximum power allocation scheme and greedy power reduction scheme in terms of energy efficiency, system throughput, and system blocking.Abstract:
Undoubtedly, the Internet of Things (IoT) is the next big revolution in the field of wireless communication networks. IoT is an invisible network, which connects the physical world to the virtual world. Seamless Internet connectivity is essential between these two worlds for IoT to become a reality. In this aspect, long-term evolution advanced (LTE-A) is a promising technology, which meets the requirements of IoT. However, an exponential increase in the number of IoT devices will increase the energy consumption at base stations in LTE-A. Therefore, in this letter, we study the downlink energy efficiency aspect of LTE-A in the IoT networks. We propose a power control and resource block allocation scheme called breathing for an IoT network. Simulation results have shown that breathing performs better than the traditional maximum power allocation scheme and greedy power reduction scheme in terms of energy efficiency, system throughput, and system blocking.read more
Citations
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Journal ArticleDOI
Deep Cognitive Perspective: Resource Allocation for NOMA-Based Heterogeneous IoT With Imperfect SIC
Miao Liu,Tiecheng Song,Guan Gui +2 more
TL;DR: A deep recurrent neural network-based algorithm is proposed to solve the energy efficient resource allocation (RA) problem for the NOMA-based heterogeneous IoT with fast convergence and low computational complexity.
Journal ArticleDOI
A Survey on Energy Efficient Narrowband Internet of Things (NBIoT): Architecture, Application and Challenges
TL;DR: A profound view of IoT and NBIoT is presented, subsuming their technical features, resource allocation, and energy-efficiency techniques and applications, and two novel energy-efficient techniques "zonal thermal pattern analysis" and "energy-efficient adaptive health monitoring system" have been proposed towards green IoT.
Proceedings ArticleDOI
Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication
TL;DR: This paper proposes a long short-term memory (LSTM) based regression model to predict 24-hour traffic counts data and examines the potential resource allocation patterns according to the regression results.
Journal ArticleDOI
Energy harvest and information transmission design in internet-of-things wireless communication systems
TL;DR: The asymptotically optimal solution to the wireless energy transmission problem is derived in analytical expression by employing the Lagrangian method and Numerical simulations verify the performance of the proposed scheme.
Journal ArticleDOI
Energy Management in LTE Networks
TL;DR: This paper discusses various ES techniques for the LTE systems and critically analyses their usability through a comprehensive comparative study.
References
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Proceedings ArticleDOI
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TL;DR: This article investigates the problem of the allocation of modulation and coding, subcarriers and power to users in LTE by achieving inter-cell interference mitigation through the dynamic and distributed self-organization of cells.
Proceedings ArticleDOI
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Jinyoung Oh,Youngnam Han +1 more
TL;DR: Simulation results show that the performance of the proposed cell selection scheme can improve average user rate and increase the number of offloaded users as the ABS ratio increases.
Book ChapterDOI
Introduction to the Internet of Things
TL;DR: In opening the IoT Week 2013 with a pre-recorded video message, Ashton insisted on the realization that IoT is here now; it is not the future but the present, where markets such as home and building automation, electricity generation and distribution, logistics, automotive, as well as telecommunications and information technology will steadily converge.
Proceedings ArticleDOI
An energy efficient cell selection scheme for femtocell network with spreading
TL;DR: This paper proposes a unique cell selection scheme that assigns mobile users to femtocell base stations considering the capacity improvement obtained per unit increase in transmit power, and shows an improvement in network performance in terms of both system capacity and energy efficiency.
Proceedings Article
Performance Evaluation of Reduced Power Inter-cell Interference Coordination for Downlink in LTE-Advanced Heterogeneous Networks
TL;DR: Simulation results show that the user throughput employing RP-ICIC is not sensitive to the protected subframe ratio compared to that employing ICIC, which stops the transmission from the macrocells (referred to as zero power (ZP)-ICIC), even if the modulation scheme is restricted to only QPSK in theprotected subframes.
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