Optimal Altitude of UAV-BS for Minimum Boundary Outage Probability with Imperfect Channel State Information

Bo, Wang; Ouyang, Jian; Zhu, Wei-Ping; Lin, Min

doi:10.1109/iccchina.2019.8855938

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…where ≥ 0, ¯ = 1, 0 (•) is the zero-order modified Bessel function of the first kind, and is the Rician factor that depends on the ratio between the power of the LoS component and NLoS components. Then, Rician factor can be expressed as follows [36], [37]:…”

Section: A Aerial Communication Channel Characterizationmentioning

confidence: 99%

Age-of-Information-Based URLLC-Enabled UAV Wireless Communications System

Basnayaka

Jayakody

Chang³

2022

IEEE Internet Things J.

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This paper considers an unmanned aerial vehicles (UAV) communication network, where UAV operate as an aerial mobile relay between a source and a destination of the network. To capture the "timeliness" of the received information at the destination node, a new performance metric named age of information (AoI) is considered. In addition, a short packet communication scheme maintains low latency in the proposed UAV wireless communication system. The finite block-length theory investigates the performances of short packet communications scheme in the UAV-assisted wireless communications system. In this paper, the Average Age of Information (AAoI) is estimated by applying the Stochastic Hybrid Systems (SHS) model. The SHS model comprises discrete states represents events that reset the AoI process and continuously dynamics that represent linearly growing age processes. Finally, a closed-form expression for the AAoI of the proposed UAV wireless communication system is derived and it can be used to estimate the optimal altitude, block length and other parameters.

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Section: A Aerial Communication Channel Characterizationmentioning

confidence: 99%

Age-of-Information-Based URLLC-Enabled UAV Wireless Communications System

Basnayaka

Jayakody

Chang³

2022

IEEE Internet Things J.

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“…[15] Optimum 2D placement of UAV has been investigated to lower overall outage Proposing RADMA to serves an amount number of nodes within a wide area by using only a single UAV on a non-dynamic deployment [16] Altitude optimization of UAV has been investigated to minimize the boundary outage probability [17] Optimal placement of multiple UAVs has been studied under different UAV altitude constraints and node densities to minimize the outage probability [18] An algorithm has been proposed to enable a team of UAVs to provide full coverage of an unknown field of interest cooperatively [19] Optimal trajectory has been formulated to maximize sum rate Exploiting virtual sector to limit the number of transmitting nodes, and to enhance the received signal power of nodes by the high gain of ULA to use high transmission rate [20] Clustering based UAV positioning method has been proposed to enhance network capacity [21] Clustering based data collection scheme has been investigated to enable UAV collect the data effectively within minimized trajectory [22] RADMA is originally proposed Conducting analytical studies towards RADMA to evaluate its effectiveness from the viewpoint of the outage probability and capturing failure probability [24] Outage probability of sensor nodes served by a ULA equipped UAV-BS has been conducted analytically while assuming the location of node is known and no interference exist [22] The performance of RADMA has been investigated within a limited coverage area and limited number of nodes by adopting IEEE 802.11 as the wireless access protocol…”

Section: Related Work Contributionsmentioning

confidence: 99%

“…To ensure reliable communication to UAV, the authors of [15] investigated the optimum 2D placement of UAV for maximum reliability with total power loss and overall outage as the reliability measures. The altitude optimization of UAV to minimize the boundary outage probability of the coverage area was studied in [16]. To improve wireless coverage, the authors of [17] studied the optimal placement of multiple UAVs under different UAV altitude constraints and node densities to minimize the outage probability of node‐to‐UAV transmissions.…”

Section: Introductionmentioning

confidence: 99%

Array antenna equipped UAV‐BS for efficient low power WSN and its theoretical analysis

Lumbantoruan

Adachi

2021

IET Communications

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In a wireless sensor network consisting of a large number of sensor nodes (SNs), an efficient communication scheme is crucial to boost data collection efficiency. Furthermore, SN is required to communicate by the low transmission power to prolong its battery life. However, SNs located at the edge of the communication area may fall into the outage as the signal-to-noise power ratio fails to surpass a certain threshold. Moreover, signal collision due to the interferers may deteriorate the packet delivery rate. An unmanned aerial vehicle-base station (UAV-BS) is an attractive solution to lower outage probability and enhance communication efficiency. Here, outage probability and capturing failure probability performance of a rotational angle division multiple access (RADMA), which is realized by UAV-BS with an array antenna, are analytically evaluated. The numerical performance evaluation is conducted to elucidate the performance improvement of RADMA under low power wide-area network setup. Numerical simulation results show that RADMA can suppress the packet loss ratio 77%, shorten the transmission time 25%, and reduce the required transmission energy 20%. Recently, low power wide-area network (LPWAN) technologies are gaining a lot of interest due to its low power and large transmission coverage to support the Internet-of-things (IoT) with limited power supply. A long-range wide-area networkThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…In a natural disaster, ground user devices cannot obtain wireless coverage services due to damaged infrastructures [18]. Cluster Heads (CHs) are anodes that detect wireless coverage services transmitted by the UAV and forward it to the Cluster Members (CMs) via downlinks [12], [19]. This allows CHs to minimize the UAV's overload and increase communicative efficiency in a post-disaster scenario.…”

Section: Introductionmentioning

confidence: 99%

Distributed Clustering for User Devices Under UAV Coverage Area during Disaster Recovery

Saif

Dimyati

Noordin

et al. 2021

2021 IEEE International Conference in Power Engineering Application (ICPEA)

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An Unmanned Aerial Vehicle (UAV) is a promising technology for providing wireless coverage to ground user devices. For all the infrastructure communication networks destroyed in disasters, UAVs-battery life is challenging during service delivery in a post-disaster scenario. Therefore, selecting cluster heads among user devices plays a vital role in detecting UAV signals and processing data for improving UAV energy efficacy and reliable Connectivity. This paper focuses on the performance evaluation of the clustering approach performance in detecting wireless coverage services with improving energy efficiency. The evaluation performance is a realistic simulation for the ground-to-air channel Line of Sight (LoS). The results show that the cluster head can effectively link the UAVs and cluster members at minimal energy expenditure. The UAV's altitudes and path loss exponent affected user devices for detecting wireless coverage. Moreover, the bit error rate in the cluster heads is considered for reliable Connectivity in postdisaster. Clustering stabilizes the clusters linking the uncovered nodes to the UAV, and its effectiveness in doing so resulted in its ubiquity in emergency communication systems.

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Optimal Altitude of UAV-BS for Minimum Boundary Outage Probability with Imperfect Channel State Information

Cited by 9 publications

References 11 publications

Age-of-Information-Based URLLC-Enabled UAV Wireless Communications System

Age-of-Information-Based URLLC-Enabled UAV Wireless Communications System

Array antenna equipped UAV‐BS for efficient low power WSN and its theoretical analysis

Distributed Clustering for User Devices Under UAV Coverage Area during Disaster Recovery

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