scholarly journals UAV Assisted Wireless Network

2021 ◽  
Vol 2078 (1) ◽  
pp. 012022
Author(s):  
Sihao Teng
Keyword(s):  
Energy Efficiency ◽  
Wireless Network ◽  
Network Performance ◽  
High Efficiency ◽  
Base Station ◽  
Iteration Algorithm ◽  
Flight Trajectory ◽  
Battery Capacity ◽  
Aerial Vehicle ◽  
Increasing Demand

Abstract With the increasing demand of social network service, the unmanned aerial vehicle has been used as a base station to assist terrestrial base station to improve wireless network performance. UAV base station provides high efficiency and wider data transmitting range due to the small size and flexibility of UAV. However, UAV wireless network faces few challenges. Energy efficiency is hard to achieve due to small battery capacity. The base station performance is also very important. It can be determined by aircraft’s flying stability, the performance of air to ground communication and the limitation of wireless coverage of UAV. In order to achieve optimal UAV deployment, improving deployment delay, communication coverage and UAV number limitation are important. Trajectory optimizing problems also need to be considered. This article analyzes UAV assisted wireless networks through investigating UAV energy efficiency, UAV aided network performance, optimal deployment methods and flight trajectory. It is shown that energy efficiency can be optimized by applying LoS based channel in UAV trajectory planning. And inequality iteration algorithm proposed by former researchers is used to determine optimal flight trajectory. This method is efficient because of cellular network’s interference-free ability. As for performance, channel selection methods are used to reduce overflow rate and boost data-received size. These methods are analyzed and proved to be effective for improving UAV aided wireless network performance.

scholarly journals MPDHD-A Handover Decision Scheme for Seamless Connectivity in Wireless Network

2020 ◽  
Vol 9 (9) ◽  
pp. 524-528
Keyword(s):  
Neural Network ◽  
Wireless Network ◽  
Intelligent System ◽  
Fuzzy Model ◽  
Base Station ◽  
Handover Decision ◽  
Novel Technologies ◽  
Multiple Parameters ◽  
Seamless Connectivity ◽  
Increasing Demand

Handover is one of the major concerns arising in wireless network due to increasing demand of services by the customers. Different studies have been performed to attain a seamless handover. Researchers are implementing novel technologies so that efficient decision can be made to maintain effective communication. Multilayer feed forward artificial neural network has been implemented in a recent study in which Received Signal strength indicator (RSSI), monetary cost, Data rate and Velocity of mobile users in the network are taken into account for handover decision in wireless network. Due to several limitations of this technique, a novel method- Multiple parameters dependent Handover decision (MPDHD) is presented in which Sugeno fuzzy model is amalgamated with neural network to form an intelligent system. In the system, neural network is trained by the fuzzy model which reduced the complexity of the existing work. Also along with the parameters used in existing work, a new user metric-Load is introduced to check the availability of the base station with minimum load of users connected to it. The simulation of the proposed work is carried out in the MATLAB environment. From, the experimental results, it is concluded that MPDHD is better than existing approaches and reduced the handover probability in the network.

scholarly journals Energy Efficiency Optimization of Cognitive UAV-Assisted Edge Communication for Semantic Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yilong Gu ◽  
Yangchao Huang ◽  
Hang Hu ◽  
Weiting Gao ◽  
Yu Pan
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Optimization Scheme ◽  
Battery Capacity ◽  
Aerial Vehicle ◽  
Efficient Alternative ◽  
The Internet Of Things

With the consolidation of the Internet of Things (IoT), the unmanned aerial vehicle- (UAV-) based IoT has attracted much attention in recent years. In the IoT, cognitive UAV can not only overcome the problem of spectrum scarcity but also improve the communication quality of the edge nodes. However, due to the generation of massive and redundant IoT data, it is difficult to realize the mutual understanding between UAV and ground nodes. At the same time, the performance of the UAV is severely limited by its battery capacity. In order to form an autonomous and energy-efficient IoT system, we investigate semantically driven cognitive UAV networks to maximize the energy efficiency (EE). The semantic device model for cognitive UAV-assisted IoT communication is constructed. And the sensing time, the flight speed of UAV, and the coverage range of UAV communication are jointly optimized to maximize the EE. Then, an efficient alternative algorithm is proposed to solve the optimization problem. Finally, we provide computer simulations to validate the proposed algorithm. The performance of the joint optimization scheme based on the proposed algorithm is compared to some benchmark schemes. And the simulation results show that the proposed scheme can obtain the optimal system parameters and can significantly improve the EE.

A Framework for High-Speed Passenger Train Wireless Network Radio Evaluations

2019 ◽  
Author(s):  
Subharthi Banerjee ◽  
Michael Hempel ◽  
Naji Albakay ◽  
Pejman Ghasemzadeh ◽  
Hamid Sharif
Keyword(s):  
Wireless Network ◽  
Network Architecture ◽  
Communication Systems ◽  
High Speed ◽  
Network Performance ◽  
The United States ◽  
Base Station ◽  
Simulation Framework ◽  
Passenger Train ◽  
Past Experiences

By 2030, the United States Federal Transit Administration (FTA) plans to have High Speed Train (HST) systems deployed that span over 12,000 miles across the US. Given the rapidly accelerating growth in consumers demand for fast on-board Internet services, there is a need for a robust and dedicated railroad wireless network architecture for their onboard and Train-to-Ground (T2G) communication systems. And while there are several potential candidates for radio access technologies (RAT), a full understanding of the benefits and drawbacks of each is still missing. We therefore have developed and studied a simulation framework that offers railroads the ability to perform an in-depth evaluation of capabilities for different RATs in terms of interoperability, throughput, handover and bit error rate for various user-driven scenarios. The framework is capable of studying and analyzing conditions such as network performance at different train velocities, base station spacing requirements, as well as analyzing US-specific geographical or track-related architectural scenarios. Our Past experiences in researching railroad wireless solutions have shown that wireless network performance varies widely in environments like tunnels, viaducts, bridges, stations, etc. The simulator offers the network designers significant flexibility in terms of defining parameters to create simulation scenarios and obtaining a detailed understanding of network performance. The work has created a novel, flexible and adaptable simulation framework for high-speed passenger train wireless network evaluation. The simulation tool supports 220MHz-100GHz systems for simulating LTE and 5G-New Radio (5G-NR), and it can support other technologies such as 220MHz PTC, in a time-variant channel. In this paper we present the architecture and the capabilities of the simulator with a sample scenario evaluation. The developed framework aims to support HST wireless communication designers to conduct more detailed analyses and to make more informed decisions in optimizing system deployments.

scholarly journals Energy Efficiency Analysis of Cache-Enabled Cellular Networks with Limited Backhaul

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Congshan Fan ◽  
Tiankui Zhang ◽  
Zhimin Zeng ◽  
Yue Chen
Keyword(s):  
Energy Efficiency ◽  
Cellular Networks ◽  
Network Performance ◽  
Content Delivery ◽  
Base Station ◽  
Library Size ◽  
Improve Energy Efficiency ◽  
Delivery Probability ◽  
Content Popularity ◽  
Geometry Method

Caching in the cellular networks has been proposed as a promising technology for reducing the content delivery latency and backhaul cost. Since the backhaul capacity is limited in the practical scenario, the network performance analysis of base station (BS) caching should address the effects of the limited backhaul. This paper investigates the energy efficiency of the cache-enabled cellular networks with the limited backhaul based on the stochastic geometry method. First, the successful content delivery probability (SCDP), which depends on the successful access delivery probability, successful backhaul delivery probability, and cache hit ratio, is analyzed under the limited backhaul. Based on the obtained SCDP results, we derive the analytical expressions of throughput, power consumption, and energy efficiency for various scenes including the general case, the interference-limited case, and the mean load approximation case. The accuracy of theoretical analysis is verified by the Monte Carlo simulation. The simulation results show that BS caching can dramatically improve energy efficiency when the content popularity is skewed, the content library size is small, and the backhaul capacity is relatively small. Furthermore, it is confirmed that there exists an optimal BS density which maximizes the energy efficiency of the cache-enabled cellular networks.

scholarly journals Performance Optimization in UAV-Assisted Wireless Powered mmWave Networks for Emergency Communications

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Jinsong Gui ◽  
Nansen Jin ◽  
Xiaoheng Deng
Keyword(s):  
Performance Optimization ◽  
Optimization Problem ◽  
Optimal Path ◽  
Capacity Utilization ◽  
Base Station ◽  
Radio Access ◽  
Battery Capacity ◽  
Access Service ◽  
Aerial Vehicle ◽  
Rotary Wing

In this paper, we explore how a rotary-wing unmanned aerial vehicle (UAV) acts as an aerial millimeter wave (mmWave) base station to provide recharging service and radio access service in a postdisaster area with unknown user distribution. The addressed optimization problem is to find out the optimal path starting and ending at the same recharging point to cover a wider area under limited battery capacity, and it can be transformed to an extended multiarmed bandit (MAB) problem. We propose the two improved path planning algorithms to solve this optimization problem, which can improve the ability to explore the unknown user distribution. Simulation results show that, in terms of the total number of served user equipment (UE), the number of visited grids, the amount of data, the average throughput, and the battery capacity utilization level, one of our algorithms is superior to its corresponding comparison algorithm, while our other algorithm is superior to its corresponding comparison algorithm in terms of the number of visited grids.

scholarly journals A Path-Server Traffic Scheduling Algorithm for Wireless Network Load based on SDN

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Wireless Network ◽  
Network Performance ◽  
Base Station ◽  
Data Packet ◽  
Simulation Platform ◽  
Traffic Scheduling ◽  
Scheduling Optimization ◽  
State Management ◽  
Channel Quality ◽  
Network Load

At present, the research on flow scheduling optimization around SDN has become the focus of international attention. Based on the current traffic control algorithm, especially the shortcomings of traffic scheduling optimization, Path-Server Traffic Scheduling (PSTS) algorithm is proposed in this paper to solve problems. Based on the real-time monitoring of network on Ryu controller, network topology, network load and server load information were obtained to choose the optimal routing scheme, thus achieving the goal of improving the overall network performance. Through the interaction between the components, the work flow of the Ryu controller is designed, and the channel quality information among users is maintained by the link state management module. When the small base station receives the data packet sent by the SDN exchange price, it will temporarily store it in the data cache module. Then, according to the amount of cached data and the channel quality of each user, the optimal time slot of the wireless network resource allocation scheme is comprehensively determined, and the data packet is sent to the corresponding client. In the view of proposed design, the Mininet simulation platform is used to simulate the SDN network in this paper. Based on the simulation platform, the performance of the algorithm is analyzed and compared. Besides, bandwidth utilization, average transmission delay, system utility and terminal usage change, interrupt rate and terminal usage change of different algorithms in SDN wireless network are analyzed and compared through data. All experiments have proved that the research content proposed in this paper has an obvious effect on network load control, which shows network performance.

scholarly journals Censoring-Based Relay Transmission for Achieving Energy Efficiency in Cognitive Radio Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Li Feng ◽  
Jirong Sun ◽  
Hua Sun ◽  
Shengju Tang
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spatial Diversity ◽  
Radio Networks ◽  
Cooperative Transmission ◽  
Iteration Algorithm ◽  
Cooperative Sensing ◽  
Secondary Transmission ◽  
Battery Capacity

Energy efficiency (EE) is critical to achieve cooperative sensing and transmission in relay-assisted cognitive radio networks (CRNs) with limited battery capacity. This paper proposes an energy-efficient cooperative transmission strategy with combined censoring report and spatial diversity in cooperative process, namely, censoring-based relay transmission (CRT). Specifically, secondary relays (SRs) take part in cooperative sensing with differential censoring to reduce energy consumption, and the best SR assists secondary transmission to enhance communication quality in transmission stage and thus to improve secondary transmission EE. First, we derived generalized-form expressions for detection probability, reporting probability, sensing energy, and expected throughput for CRT. Second, we investigate a mean EE-oriented maximization nonconvex problem by joint optimizing sensing duration and power allocation for secondary users under secondary outage probability and sensing performance constraints. With the aid of Jensen’s inequality, an efficient cross-iteration algorithm with low complexity is proposed to obtain the suboptimal solutions, which is developed by golden segmentation search method. Finally, extensive simulations are conducted to evaluate the performance of CRT. The results show significant improvements of SUs’ EE compared with traditional noncooperation single cognitive transmission schemes, which demonstrate the benefits of our proposed cooperative strategy in conserving energy for secondary transmission.

scholarly journals Energy-Efficient and Reliable Internet of Things for 5G: A Framework for Interference Control

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2165
Author(s):  
Radwa Ahmed Osman ◽  
Amira I. Zaki
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Cellular Networks ◽  
Communication Networks ◽  
Network Performance ◽  
Optimization Technique ◽  
Base Station ◽  
Optimization Strategy ◽  
Interference Control ◽  
Proposed Model

The Internet of Things (IoT) is one of the promising paradigms that enable massive machines and devices to communicate with each other in future communication networks to promote a high level of awareness about our world and improve our daily life. IoT devices (IoTDs) communicate with an IoT base station (IoTBS) or IoT gateway (IoTG) by sharing the resources of other cellular users (CUEs). Due to the leakage of the spectral efficiency, interference exists among IoTG and base station (BS) due to CUEs and IoTDs. In this paper, a new framework is proposed called the interference control model. This proposed model aims to control the interference among IoTG and BS and is based on using the Lagrange optimization technique to reduce interference and maximize the energy efficiency and reliability of the IoT and cellular networks in fifth-generation (5G) systems. First, we formulate the multi-objective optimization problem to achieve the objective of the proposed model. Then, based on the optimization strategy, we derive the closed-form expressions of key quality-of-service (QoS) performance such as system reliability, throughput, and energy efficiency. Finally, the proposed algorithm has been evaluated and examined through different assumptions and several simulation scenarios. The obtained results validate the effectiveness and the accuracy of our proposed idea and also indicate significant improvement in the network performance of IoT and cellular networks.

The Role of Dynamic Network Slicing in 5G

2021 ◽  
pp. 159-171
Author(s):  
Kaushal Kumar ◽  
Ajit Kumar Singh ◽  
Sunil Kumar ◽  
Pankaj Sharma ◽  
Jaya Sharna
Keyword(s):  
Energy Efficiency ◽  
Wireless Network ◽  
Communication Networks ◽  
Dynamic Network ◽  
Base Station ◽  
Network Slicing ◽  
Fifth Generation ◽  
Radio Access ◽  
Enhance Efficiency

Energy and speed are very important parts in this fast-growing world. They also play a crucial role in economy and operational considerations of a country, and by environmental concerns, energy efficiency has now become a key pillar in the design of communication networks. With the help of several of base station and millions of networking devices in the fifth generation of wireless communications, the need of energy efficient devices and operation will more effective. This chapter focused on following areas to enhance efficiency, which incorporate EE improvement utilizing radio access techniques like synchronously remote endurance and force move. In this research paper, the authors have searched various methods or techniques that are working with 5G wireless networks and got techniques that can address to increase speed with the help of 5G wireless network. It discusses energy-efficiency techniques that can be useful to boost user experience on 5G wireless network and also discusses the problems that can arrive in and addressed in future.

scholarly journals Energy Efficiency and Coverage Trade-Off in 5G for Eco-Friendly and Sustainable Cellular Networks

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 408 ◽  
Author(s):  
Mohammed Alsharif ◽  
Anabi Kelechi ◽  
Jeong Kim ◽  
Jin Kim
Keyword(s):  
Energy Efficiency ◽  
Wireless Network ◽  
Cellular Networks ◽  
High Speed ◽  
Network Performance ◽  
Energy Savings ◽  
Load Condition ◽  
Base Stations ◽  
Entire Area ◽  
Trade Off

Recently, cellular networks’ energy efficiency has garnered research interest from academia and industry because of its considerable economic and ecological effects in the near future. This study proposes an approach to cooperation between the Long-Term Evolution (LTE) and next-generation wireless networks. The fifth-generation (5G) wireless network aims to negotiate a trade-off between wireless network performance (sustaining the demand for high speed packet rates during busy traffic periods) and energy efficiency (EE) by alternating 5G base stations’ (BSs) switching off/on based on the traffic instantaneous load condition and, at the same time, guaranteeing network coverage for mobile subscribers by the remaining active LTE BSs. The particle swarm optimization (PSO) algorithm was used to determine the optimum criteria of the active LTE BSs (transmission power, total antenna gain, spectrum/channel bandwidth, and signal-to-interference-noise ratio) that achieves maximum coverage for the entire area during the switch-off session of 5G BSs. Simulation results indicate that the energy savings can reach 3.52 kW per day, with a maximum data rate of up to 22.4 Gbps at peak traffic hours and 80.64 Mbps during a 5G BS switched-off session along with guaranteed full coverage over the entire region by the remaining active LTE BSs.

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