scholarly journals Network resource optimization with reinforcement learning for low power wide area networks

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Gyubong Park ◽  
Wooyeob Lee ◽  
Inwhee Joe
Keyword(s):  
Reinforcement Learning ◽  
Wireless Communication ◽  
Low Power ◽  
Industrial Revolution ◽  
Data Rate ◽  
Wide Area ◽  
Transmission Power ◽  
Long Distance ◽  
Network Resource ◽  
Transmission Parameters

Abstract As the 4th industrial revolution using information becomes an issue, wireless communication technologies such as the Internet of Things have been spotlighted. Therefore, much research is needed to satisfy the technological demands for the future society. A LPWA (low power wide area) in the wireless communication environment enables low-power, long-distance communication to meet various application requirements that conventional wireless communications have been difficult to meet. We propose a method to consume the minimum transmission power relative to the maximum data rate with the target of LoRaWAN among LPWA networks. Reinforcement learning is adopted to find the appropriate parameter values for the minimum transmission power. With deep reinforcement learning, we address the LoRaWAN problem with the goal of optimizing the distribution of network resources such as spreading factor, transmission power, and channel. By creating a number of deep reinforcement learning agents that match the terminal nodes in the network server, the optimal transmission parameters are provided to the terminal nodes. The simulation results show that the proposed method is about 15% better than the existing ADR (adaptive data rate) MAX of LoRaWAN in terms of throughput relative to energy transmission.

scholarly journals Energy-Efficient Power Allocation and Relay Selection Schemes for Relay-Assisted D2D Communications in 5G Wireless Networks

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2865 ◽  
Author(s):  
Md Rahman ◽  
YoungDoo Lee ◽  
Insoo Koo
Keyword(s):  
Wireless Networks ◽  
Power Allocation ◽  
Relay Selection ◽  
Base Station ◽  
Data Rate ◽  
Transmission Power ◽  
D2d Communications ◽  
Long Distance ◽  
Inference System ◽  
Efficient Power

Device-to-device (D2D) communications allows user equipment (UE) that are in close proximity to communicate with each other directly without using a base station. Relay-assisted D2D (RA-D2D) communications in 5G networks can be applied to support long-distance users and to improve energy efficiency (EE) of the networks. In this paper, we first establish a multi-relay system model where the D2D UEs can communicate with each other by reusing only one cellular uplink resource. Then, we apply an adaptive neuro-fuzzy inference system (ANFIS) architecture to select the best D2D relay to forward D2D source information to the expected D2D destination. Efficient power allocation (PA) in the D2D source and the D2D relay are critical problems for operating such networks, since the data rate of the cellular uplink and the maximum transmission power of the system need to be satisfied. As is known, 5G wireless networks also aim for low energy consumption to better implement the Internet of Things (IoT). Consequently, in this paper, we also formulate a problem to find the optimal solutions for PA of the D2D source and the D2D relay in terms of maximizing the EE of RA-D2D communications to support applications in the emerging IoT. To solve the PA problems of RA-D2D communications, a particle swarm optimization algorithm is employed to maximize the EE of the RA-D2D communications while satisfying the transmission power constraints of the D2D users, minimum data rate of cellular uplink, and minimum signal-to-interference-plus-noise-ratio requirements of the D2D users. Simulation results reveal that the proposed relay selection and PA methods significantly improve EE more than existing schemes.

scholarly journals Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Juan Aznar-Poveda ◽  
Antonio-Javier Garcia-Sanchez ◽  
Esteban Egea-Lopez ◽  
Joan Garcia-Haro
Keyword(s):  
Reinforcement Learning ◽  
Data Rate ◽  
Learning Approach ◽  
Transmission Power ◽  
Power Adaptation ◽  
V2v Communications

LoRaWAN for an IoT-based environmental monitoring application in Tirana city

2021 ◽  
Author(s):  
Evjola Spaho ◽  
Aleksandër Biberaj ◽  
Ares Tahiraga
Keyword(s):  
Low Power ◽  
Environmental Monitoring ◽  
Long Range ◽  
Low Cost ◽  
Wide Area ◽  
Wide Area Networks ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
Monitoring Application

AbstractRecently, low power wide area networks are attracting a lot of attention by the research community. They are wireless technologies characterized by large coverage area, low bandwidth and long battery life. One of these low power wide area networks technologies, the long range wide area network, can be used for different monitoring applications for health, agriculture, traffic, smart city.In this paper, different simulations and experiments are conducted to implement a low-cost long-range wide area network environmental monitoring application for Tirana city in Albania. Simulation and experimental data are compared and similar results were obtained. In the low-cost implemented system, the gateway can communicate with the sensors placed in strategic positions with long distance covered also using Radio Mobile software.

scholarly journals Analysis of Bidirectional ADR-Enabled Class B LoRaWAN Networks in Industrial Scenarios

2020 ◽  
Vol 10 (22) ◽  
pp. 7964
Author(s):  
David Todoli-Ferrandis ◽  
Javier Silvestre-Blanes ◽  
Víctor Sempere-Payá ◽  
Ana Planes-Martínez
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Packet Loss ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Data Rate ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Class B

Low-power wide-area network (LPWAN) technologies are becoming a widespread solution for wireless deployments in many applications, such as smart cities or Industry 4.0. However, there are still challenges to be addressed, such as energy consumption and robustness. To characterize and optimize these types of networks, the authors have developed an optimized use of the adaptative data rate (ADR) mechanism for uplink, proposed its use also for downlink based on the simulator ns-3, and then defined an industrial scenario to test and validate the proposed solution in terms of packet loss and energy.

A Study on Smart Agricultural Facilities Wireless Networking

2014 ◽  
Vol 926-930 ◽  
pp. 2213-2216
Author(s):  
Zhen Gang Yao
Keyword(s):  
Wireless Communication ◽  
Low Power ◽  
Communication Technology ◽  
Network Topology ◽  
Short Distance ◽  
Low Complexity ◽  
Wireless Networking ◽  
Data Rate ◽  
Power Cost ◽  
Zigbee Network

A wireless networking method for smart agricultural facilities was proposed in this paper. As ZigBee was a short distance, low complexity, low power cost, low data rate and two-way wireless communication technology, the wireless networking method was based on ZigBee. Network topology, hardware and software were designed in the paper.

Adaptive data rate control in low power wide area networks for long range IoT services

2017 ◽  
Vol 22 ◽  
pp. 171-178 ◽  
Author(s):  
Dae-Young Kim ◽  
Seokhoon Kim ◽  
Houcine Hassan ◽  
Jong Hyuk Park
Keyword(s):  
Low Power ◽  
Long Range ◽  
Rate Control ◽  
Data Rate ◽  
Wide Area ◽  
Wide Area Networks

scholarly journals Application of Wireless Sensor Network based on LoRa in City Gas Meter Reading

2017 ◽  
Vol 13 (12) ◽  
pp. 104 ◽  
Author(s):  
Kun Wang
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Communication ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Communication Technology ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Long Distance ◽  
Reading System

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">At present, the common meter reading method in gas meter reading system is manual. The meter reader enters the meter reading system to calculate the cost after getting the reading. This work is not only labour-intensive, but also inefficient. In addition, incorrect reading may occur due to human errors. With the development of the wireless communication technology, a wireless communication technology named LoRa for long-distance and low-power-consumption devices appeared. LoRa is a wireless communication technology with long transmission distance, low power consumption, low transmission speed, low complexity and low cost. It is mainly used in automatic control and internet of things. Through the comparison and analysis of several wireless communication technologies, a gas meter reading platform based on LoRa spread spectrum and wireless sensors is proposed. First of all, this paper briefly introduces the LoRa wireless communication technology and machine vision technology. Secondly, it gives a detailed introduction to the overall design of the system which includes system architecture design, information acquisition terminal, image acquisition module and wireless sensor module. Finally, an experiment is carried out in a residential area. The results show that the gas meter reading platform based on LoRa and wireless sensor network has a high practical value.</span>

Design and Implementation of an Efficient Parallel LFSR Architecture for Wireless Communication Systems

2019 ◽  
Vol 14 ◽  
Author(s):  
A. Suresh Babu ◽  
B. Anand
Keyword(s):  
Wireless Communication ◽  
Power Consumption ◽  
Low Power ◽  
Communication Systems ◽  
High Speed ◽  
Design Tool ◽  
Shift Register ◽  
Linear Feedback ◽  
Wireless Communication Systems ◽  
Coverage Area

: A Linear Feedback Shift Register (LFSR) considers a linear function typically an XOR operation of the previous state as an input to the current state. This paper describes in detail the recent Wireless Communication Systems (WCS) and techniques related to LFSR. Cryptographic methods and reconfigurable computing are two different applications used in the proposed shift register with improved speed and decreased power consumption. Comparing with the existing individual applications, the proposed shift register obtained >15 to <=45% of decreased power consumption with 30% of reduced coverage area. Hence this proposed low power high speed LFSR design suits for various low power high speed applications, for example wireless communication. The entire design architecture is simulated and verified in VHDL language. To synthesis a standard cell library of 0.7um CMOS is used. A custom design tool has been developed for measuring the power. From the results, it is obtained that the cryptographic efficiency is improved regarding time and complexity comparing with the existing algorithms. Hence, the proposed LFSR architecture can be used for any wireless applications due to parallel processing, multiple access and cryptographic methods.

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