Performance Analysis of Downlink NOMA Systems Over $\kappa$-$\mu$ Shadowed Fading Channels

ElHalawany, Basem M.; Jameel, Furqan; Costa, Daniel Benevides da; Dias, Ugo Silva; Wu, Kaishun

doi:10.1109/tvt.2019.2953109

Cited by 67 publications

(31 citation statements)

References 14 publications

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“…In parallel, non-orthogonal multiple access (NOMA) techniques have received considerable research interest due to their ability to improve the spectral efficiency of wireless networks [8]. For instance, using NOMA can be combined with cognitive radio to increase spectrum efficiency [9].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Satellite-Terrestrial Relay Network: Proposed Model and Application of Power Splitting Multiple Access

Kharel

et al. 2020

Sensors

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The development of hybrid satellite-terrestrial relay networks (HSTRNs) is one of the driving forces for revolutionizing satellite communications in the modern era. Although there are many unique features of conventional satellite networks, their evolution pace is much slower than the terrestrial wireless networks. As a result, it is becoming more important to use HSTRNs for the seamless integration of terrestrial cellular and satellite communications. With this intent, this paper provides a comprehensive performance evaluation of HSTRNs employing non-orthogonal multiple access technique. The terrestrial relay is considered to be wireless-powered and harvests energy from the radio signal of the satellite. For the sake of comparison, both amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols are considered. Subsequently, the closed-form expressions of outage probabilities and ergodic capacities are derived for each relaying protocol. Extensive simulations are performed to verify the accuracy of the obtained closed-form expressions. The results provided in this work characterize the outage and capacity performance of such a HSTRN.

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Section: Introductionmentioning

confidence: 99%

Hybrid Satellite-Terrestrial Relay Network: Proposed Model and Application of Power Splitting Multiple Access

Kharel

et al. 2020

Sensors

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“…UAV-enabled LoRa network provides mechanisms to deal with all the aforementioned problems. This kind of system might be useful in a wide variety of situations, especially when there is the need to rapidly deploy a network to collect data generated by moving targets in remote or disrupted areas, where other networks might be unavailable, damaged or highly congested [38,39]. The architecture of the UAV-enabled LoRa network consists of a two-layer system, in which the first layer is composed of GNs that transmit data using LoRaWAN and the second layer is composed of a swarm of drones communicating over a WiFi ad hoc network and acting as relays between the GNs and a BS.…”

Section: Network Setup and Architecturementioning

confidence: 99%

Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications

Saraereh

Alsaraira

Khan

et al. 2020

Sensors

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In hostile and remote environments, such as mountains, forests or suburban areas, traditional communications may not be available, especially after a disaster, such as a flood, a forest fire or an earthquake. In these situations, the wireless networks may become congested or completely disrupted and may not be adequate to support the traffic generated by rescuers. It is also considered as the key tool in Corona Virus (COVID-19) battle. Moreover, the conventional approaches with fixed gateways may not work either, and this might lead to decoding errors due to the large distance between mobile nodes and the gateway. To avoid the decoding errors and improve the reliability of the messages, we propose to use intermediate Unmanned Aerial Vehicles (UAVs) to transfer messages from ground-based Long Range (LoRa) nodes to the remote base station (BS). Specifically, this UAV-enabled LoRa architecture is based on the ad hoc WiFi network, wherein, UAVs act as relays for the traffic generated between LoRa nodes and BS. To make the architecture more efficient, a distributed topology control algorithm is also proposed for UAVs. The algorithm is based on virtual spring forces and movement prediction technique that periodically updates the UAV topology to adapt to the movement of the ground-based LoRa nodes that move on the surface. The simulation results show the feasibility of the proposed approach for packet reception rate and average delay quality of service (QoS) metrics. It is observed that the mechanisms implemented in a UAV-enabled LoRa network effectively help to improve the packet reception rate with nominal buffer delays.

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“…From (11), it can be observed that in a high SNR region, the dominant value ofλ c will correspond to the largest value of its exponent. Thus, for a specific value of M at high SNR, we note that the curve of PEP will fall with the slope of 0.5α c µ c .…”

Section: Analysis Of Pepmentioning

confidence: 99%

“…In an urban scenario, vehicles can exchange information with the infrastructure and can collect data from other vehicles to generate information regarding traffic congestion and parking reservations, etc. [11].…”

Section: Introductionmentioning

confidence: 99%

Interference Analysis for Vehicle-to-Vehicle Communications at 28 GHz

et al. 2020

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High capacity and ultra-reliable vehicular communication are going to be important aspects of beyond 5G communication networks. However, the vehicular communication problem becomes complex at a large scale when vehicles are roaming on the road, while simultaneously communicating with each other. Moreover, at higher frequencies (like 28 GHz), the dynamics of vehicular communication completely shift towards unpredictability and low-reliability. These factors may result in high packet error and a large amount of interference, resulting in regular disruptions in communications. A thorough understanding of performance variations is the key to moving towards the next generation of vehicular networks. With this intent, this article aims to provide a comprehensive interference analysis, wherein the closed-form expressions of packet error probability (PEP) and ergodic capacity are derived. Using the expression of the PEP, diversity analysis is provided which unveils the impact of channel nonlinearities on the performance of interference-constrained vehicular networks. The insights provided here are expected to pave the way for reliable and high capacity vehicular communication networks.

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Performance Analysis of Downlink NOMA Systems Over $\kappa$-$\mu$ Shadowed Fading Channels

Cited by 67 publications

References 14 publications

Hybrid Satellite-Terrestrial Relay Network: Proposed Model and Application of Power Splitting Multiple Access

Hybrid Satellite-Terrestrial Relay Network: Proposed Model and Application of Power Splitting Multiple Access

Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications

Interference Analysis for Vehicle-to-Vehicle Communications at 28 GHz

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