UAV assisted heterogeneous networks for public safety communications

By Arvind Merwaday, Ismail Güvenç. 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2015

419 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2496eef2241d72975e7c05faa3425f84ad09a5ea

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Citations in the corpus

Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, methodology): “Similarly, Merwaday and Guvenc [45] explored the use of a drone BS as a temporary station during a disaster relief operation.”
Trajectory Design for Completion Time Minimization in UAV-Enabled Multicasting (2018, background): “and emergency responses [30], video streaming [31], [32], military operations, and intelligent transportation systems [33].”
Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning (2018, background): “Also, regarding the positioning of drones, Merwaday et. al. show in [12] that, in an emergency scenario, finding the optimal position for temporary DSCs via exploiting the mobility of the drones yields improvements in network throughput and spectral efficiency.”
The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells (2016, methodology): “Finally, we demonstrate the fundamental principles of DMF via a case study; the Conclusion section closes the paper.”
UAV-Assisted Heterogeneous Networks for Capacity Enhancement (2016, background): “A smart combination of all these networks can provide a vast ra nge of applications in civilian networks [3].”
Energy-Efficient UAV Communication With Trajectory Optimization (2016, background): “Two typical scenarios are rapid service recovery after partial or complete infrastructure damage due to natural disasters [6], [7], and BS offloading in hot spots [8], which are two important scenarios to be effectively addressed in the fifthgeneration (5G) wireless communication systems [9].”
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges (2018, methodology): “Using brute force search to maximize the 5th percentile spectral efficiency of the system, Merwaday and Guvenc [76] optimized 2D placements of a small number of ‘helper’ aerial”
Efficient 3-D placement of an aerial base station in next generation cellular networks (2016, background): “A similar approach in [9] shows the improvement in the coverage by assisting the network with drone-cells at a certain altitude, in case of failure of Evolved Node Bs (eNBs).”
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, methodology): “In this regard, the use of UAV-based aerial networks [65], as shown in Figure 2, is a promising solution to enable fast, flexible, and reliable wireless communications in public safety scenarios.”
LTE in the sky: trading off propagation benefits with interference costs for aerial nodes (2016, background): “In [6], the usage of UAVs as mobile base stations for public safety communication in case of natural disaster is investigated.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “In recent years, UAV-based wireless communication systems attract lots of attention thanks to their cost-effective wireless connectivity in scenarios without infrastructure coverage, which is caused by severe shadowing by urban or mountainous terrain, or damage to the communication infrastructure ca”
Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity (2017, background): “Moreover, it has been shown that UAVs as low altitude platforms (LAPs) can be integrated into a cellular network to compensate cell overload or site outage [9], to enhance public safety in the failure of the base stations [10], and to boost the capacity of the network.”
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, background): “Last, UAV-assisted cellular communication was also leveraged in public safety communications [88]–[90] and intelligent transportation systems for smart city applications [91].”
Throughput Maximization for UAV-Enabled Mobile Relaying Systems (2016, background): “First, on-demand mobile relaying systems are more cost-effective and can be much more swiftly deployed, which make them especially suitable for unexpected or temporary events [11], such as emergency response, military operation, etc.”
Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems (2019, background): “Generally, UAVs always keep stationary and act as aerial BSs, which is especially useful when infrastructures are damaged or communication traffics are congested [23].”