“…Furthermore, the management of the UABS network itself is also an important issue as discussed in [18][19][20]. However, this is beyond the scope of this study.…”
Today's wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone's fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user's service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.
“…Furthermore, the management of the UABS network itself is also an important issue as discussed in [18][19][20]. However, this is beyond the scope of this study.…”
Today's wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone's fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user's service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.
“…While still in early stages of research, it can already be foreseen that such networks will pose new challenges on the transport network, with both wireless and wired solutions (via a tether, see [30]) having been proposed. However, such aerial networks could also provide new solutions for future transport networks, e.g., by acting as relays or providing additional transport capacity via aerial routes in times of unexpected high transport traffic or failure of ground-based transport equipment.…”
Section: Enabling Transport Technologiesmentioning
To meet the requirements of 5G mobile networks, several radio access technologies, such as millimeter wave communications and massive MIMO, are being proposed. In addition, cloud radio access network (C-RAN) architectures are considered instrumental to fully exploit the capabilities of future 5G RANs. However, RAN centralization imposes stringent requirements on the transport network, which today are addressed with purpose-specific and expensive fronthaul links. As the demands on future access networks rise, so will the challenges in the fronthaul and backhaul segments. It is hence of fundamental importance to consider the design of transport networks alongside the definition of future access technologies to avoid the transport becoming a bottleneck. Therefore, we analyze in this work the impact that future RAN technologies will have on the transport network and on the design of the next generation fronthaul interface. To understand the especially important impact of varying user traffic, we utilize measurements from a real-world 4G network and, taking target 5G performance figures into account, extrapolate its statistics to a 5G scenario. With this, we derive both per-cell and aggregated data rate requirements for 5G transport networks. In addition, we show that the effect of statistical multiplexing is an important factor to reduce transport network capacity requirements and costs. Based on our investigations, we provide guidelines for the development of the 5G transport network architecture.
“…Recently, there has been a significant interest in drone aided communication systems [41]- [45]. Owing to their easy deployability and wide range of applications, drones are becoming increasingly popular, especially in the areas of search and rescue operations, providing temporary network coverage in large gatherings such as sports events [44], providing emergency network coverage in the disaster-struck areas [45] etc.…”
Section: Application Of Jtrcb Aided Fd Sm Systems In Drone Communimentioning
confidence: 99%
“…Owing to their easy deployability and wide range of applications, drones are becoming increasingly popular, especially in the areas of search and rescue operations, providing temporary network coverage in large gatherings such as sports events [44], providing emergency network coverage in the disaster-struck areas [45] etc. In this paper, we consider FD SM for establishing communication between drones, i.e.…”
Section: Application Of Jtrcb Aided Fd Sm Systems In Drone Communimentioning
confidence: 99%
“…With the aid of the results in 1), we propose an energy efficient antenna subset selection aided FD SM relay system, which achieves the full transmit and receive diversity gain, despite reducing the hardware requirements of the FD SM systems in [39], [40]. 3) Lastly, as a practical application of the proposed FD SM relay system we consider multi-hop FD relaying in a drone-aided communication scenario [41]- [45], where multiple drones act as relays. Specifically, we consider the ill effects of the strong line-of-sight (LOS) channel of multi-hop drone relays, and propose methods of alleviating them with the aid of the results in 1) without compromising the attainable diversity gains.…”
Abstract-It is widely exploited that the feedback assisted multiple-input multiple-output (MIMO) systems, which rely on channel state information (CSI) at the transmitter not only improve the spectral efficiency but also increase the attainable diversity gains. Owing to the limited bandwidth of the feedback channel, it is impractical to feed back perfect CSI or the transmit precoding (TPC) matrix to be used by the transmitter. This issue has been studied for over a decade now and it is addressed by feeding the TPC codeword index back to the transmitter. In this paper, we derive the conditions to be satisfied by the transmit and receive codebooks (TCBs and RCBs) for achieving full transmit and receive diversity gains. Furthermore, based on the conditions derived, we propose several RCBs by exploiting the properties of circulant matrices constructed with the aid of Cyclotomic polynomials. The proposed RCBs are shown to offer several benefits when employed in full-duplex (FD) spatial modulation (SM) systems, which include i) reduced hardware complexity of the self-interference (SI) cancellation circuitry ii) robustness to SI iii) maintain the diversity gain in the face of strong line-of-sight (LoS) channels. Furthermore, we study the performance of the proposed RCBs in an emerging drone communication scenario where several drones act as FD relays. Our simulation results show that the proposed RCBs indeed do attain the diversity gains predicted by our theoretical results. Specifically, in a dual-hop FD SM relay system the proposed receiver combiner selection (RCS) codebook is observed to give about 3dB signal-to-noise (SNR) gain compared to the receive antenna selection (RAS) codebook without any substantial extra requirements. In the case of a triple-hop FD drone network, an SNR gain of about 2.5dB is observed for our RCS codebook over a RAS codebook.Index Terms-Joint transmit and receive processing, diversity gain, antenna selection, full-duplex, drones.R. Rajashekar and L. Hanzo are with the
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