scholarly journals Energy-Efficient Deployment of a Non-Orthogonal Multiple Access Unmanned Aerial System

2021 ◽  
Author(s):  
Nithin Babu ◽  
Constantinos B. Papadias ◽  
Petar Popovski
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Data Communication ◽  
Optimal Solution ◽  
Unmanned Aerial System ◽  
Radio Access ◽  
New Energy ◽  
Aerial Vehicle

<div>In this work, we propose a methodology for the energy-efficient placement of an unmanned aerial system (UAS) deployed to collect data from a set of ground user equipments (UEs). The data-communication between the UEs and the UxNB, a radio access node carried by an unmanned aerial vehicle (UAV), of the UAS follows a non-orthogonal multiple-access (NOMA) scheme; in which all the UEs share the same time and frequency resources. The receiver removes the inter-UE interference from the co-channel UEs through joint implementation of a powerreduction technique at the UEs and the successive interference cancellation (SIC) at the receiver. Firstly, a new energy-efficiency metric, area energy efficiency (AEE) representing the total area covered by a UxNB per Watt-Hour (Wh) of energy consumed, is introduced. Then, the optimal hovering altitude of the UxNB that maximizes the AEE is determined using the proposed algorithm. Numerical evaluations show that the obtained solution using the proposed algorithm matches the globally optimal solution, and the proposed NOMA scheme prevails over an equivalent orthogonal multiple access (OMA) scheme, in terms of the AEE.</div>

scholarly journals Energy-Efficient Deployment of a Non-Orthogonal Multiple Access Unmanned Aerial System

2021 ◽  
Author(s):  
Nithin Babu ◽  
Constantinos B. Papadias ◽  
Petar Popovski
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Data Communication ◽  
Optimal Solution ◽  
Unmanned Aerial System ◽  
Radio Access ◽  
New Energy ◽  
Aerial Vehicle

<div>In this work, we propose a methodology for the energy-efficient placement of an unmanned aerial system (UAS) deployed to collect data from a set of ground user equipments (UEs). The data-communication between the UEs and the UxNB, a radio access node carried by an unmanned aerial vehicle (UAV), of the UAS follows a non-orthogonal multiple-access (NOMA) scheme; in which all the UEs share the same time and frequency resources. The receiver removes the inter-UE interference from the co-channel UEs through joint implementation of a powerreduction technique at the UEs and the successive interference cancellation (SIC) at the receiver. Firstly, a new energy-efficiency metric, area energy efficiency (AEE) representing the total area covered by a UxNB per Watt-Hour (Wh) of energy consumed, is introduced. Then, the optimal hovering altitude of the UxNB that maximizes the AEE is determined using the proposed algorithm. Numerical evaluations show that the obtained solution using the proposed algorithm matches the globally optimal solution, and the proposed NOMA scheme prevails over an equivalent orthogonal multiple access (OMA) scheme, in terms of the AEE.</div>

A Novel User Grouping Algorithm for Downlink NOMA

2021 ◽  
Author(s):  
Navideh Ghafouri Jeshvaghani ◽  
Naser Movahhedinia ◽  
Mohammad Reza Khayyambashi
Keyword(s):  
Interference Cancellation ◽  
Multiple Access ◽  
Spectrum Efficiency ◽  
System Capacity ◽  
Substantial Impact ◽  
User Grouping ◽  
Radio Access ◽  
Power Domain ◽  
Rate Maximization ◽  
Sum Rate

Abstract Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for resource allocation improvement in the 5th generation of cellular networks. Compared to orthogonal multiple access techniques (OMA), NOMA offers extra benefits, including greater spectrum efficiency which is provided through multiplexing users in the transmission power domain while using the same spectrum resources non-orthogonally. Even though NOMA uses Successive Interference Cancellation (SIC) to repeal the interference among users, user grouping has shown to have a substantial impact on its performance. This prformance improvement can appear in different parameters such as system capacity, rate, or the power consumption. In this paper, we propose a novel user grouping scheme for sum-rate maximization which increases the sum-rate up to 25 percent in comparison with two authenticated recent works. In addition to being matrix-based and having a polynomial time complexity, the proposed method is also able to cope with users experiencing different channel gains and powers in different sub-bands.

An Energy Efficient Clustering Protocol using Enhanced Rain Optimization Algorithm in Mobile Adhoc Networks

2021 ◽  
pp. 85-94
Author(s):  
Mohamed Elhoseny ◽  
◽  
◽  
X. Yuan
Keyword(s):  
Energy Efficiency ◽  
Optimization Algorithm ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Superior Performance ◽  
Clustering Protocol ◽  
New Energy ◽  
Hoc Networks ◽  
Experimental Values ◽  
Energy Efficient Clustering

Energy efficiency is a significant challenge in mobile ad hoc networks (MANETs) design where the nodes move randomly with limited energy, leading to acceptable topology modifications. Clustering is a widely applied technique to accomplish energy efficiency in MANET. Therefore, this paper designs a new energy-efficient clustering protocol using an enhanced rain optimization algorithm (EECP-EROA) for MANET. The EROA technique is derived by integrating the Levy flight concept to the ROA to enhance global exploration abilities. In addition, the EECP-EROA technique intends to proficiently select CHs and the nearby nodes linked to the CH to generate clusters. Moreover, the EECP-EROA technique has derived an objective function with different input parameters. To showcase the superior performance of the EECP-EROA technique, a brief set of simulations takes place, and the results are inspected under varying aspects. The experimental values pointed out the betterment of the EECP-EROA technique over the other methods.

Investigation of the fifth generation non-orthogonal multiple access technique for defense applications using deep learning

2021 ◽  
pp. 154851292110228
Author(s):  
Ravisankar Malladi ◽  
Manoj Kumar Beuria ◽  
Ravi Shankar ◽  
Sudhansu Sekhar Singh
Keyword(s):  
Deep Learning ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Multiple Input Multiple Output ◽  
Optimal Solution ◽  
Channel State ◽  
Fifth Generation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
And Performance

In modern wireless communication scenarios, non-orthogonal multiple access (NOMA) provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G systems. Traditional NOMA detectors are based on successive interference cancellation (SIC) techniques at both uplink and downlink NOMA transmissions. However, due to imperfect SIC, these detectors are not suitable for defense applications. In this paper, we investigate the 5G multiple-input multiple-output NOMA deep learning technique for defense applications and proposed a learning approach that investigates the communication system’s channel state information automatically and identifies the initial transmission sequences. With the use of the proposed deep neural network, the optimal solution is provided, and performance is much better than the traditional SIC-based NOMA detectors. Through simulations, the analytical outcomes are verified.

scholarly journals Massive MIMO-NOMA Networks with Imperfect SIC: Design and Fairness Enhancement

2020 ◽  
Author(s):  
Arthur Sousa de Sena ◽  
Pedro Nardelli
Keyword(s):  
Outage Probability ◽  
Power Allocation ◽  
Interference Cancellation ◽  
Massive Mimo ◽  
Multiple Access ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Optimal Solution ◽  
Input Multiple Output ◽  
The Impact

This paper addresses multi-user multi-cluster massive multiple-input-multiple-output (MIMO) systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode, and taking into consideration the impact of imperfect successive interference cancellation (SIC), an in-depth analytical analysis is carried out, in which closed-form expressions for the outage probability and ergodic rates are derived. Subsequently, the power allocation coefficients of users within each sub-group are optimized to maximize fairness. The considered power optimization is simplified to a convex problem, which makes it possible to obtain the optimal solution via Karush-Kuhn-Tucker (KKT) conditions. Based on the achieved solution, we propose an iterative algorithm to provide fairness also among different sub-groups. Simulation results alongside with insightful discussions are provided to investigate the impact of imperfect SIC and demonstrate the fairness superiority of the proposed dynamic power allocation policies. For example, our results show that if the residual error propagation levels are high, the employment of orthogonal multiple access (OMA) is always preferable than NOMA. It is also shown that the proposed power allocation outperforms conventional massive MIMO-NOMA setups operating with fixed power allocation strategies in terms of outage probability.

scholarly journals Throughput Analysis for Non-Orthogonal Multiple Access (NOMA)-Based 5G Networks

2019 ◽  
Vol 8 (3S) ◽  
pp. 101-108
Keyword(s):  
Power Allocation ◽  
Interference Cancellation ◽  
Multiple Access ◽  
System Throughput ◽  
Superposition Coding ◽  
5G Networks ◽  
Throughput Analysis ◽  
Radio Access ◽  
5G Network ◽  
High System

Non-Orthogonal Multiple Access (NOMA) scheme is one of the emerging radio access techniques to enhance the system performance for 5G networks. The powerdomain NOMA is one of the basic NOMA schemes that perform superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Power Allocation (PA) plays a significant role in attaining successful SIC and high system throughput. This work is focusing on power allocation to maximize the throughput for NOMA-based 5G network. The objective functions, algorithms, constraints and limitations of the system design in power allocation techniques for NOMA-based 5G networks in terms of throughput analysis are extensively investigated and reported.

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.

Non Orthogonal Multiple Access: Basic Concepts and Misconceptions

2019 ◽  
Vol 7 (1) ◽  
pp. 1-4
Author(s):  
Syed Rizwan Hassan ◽  
Noman Shabbir ◽  
Arooj Unbreen ◽  
Ateeq Ur Rehman ◽  
Ahmad Iqbal
Keyword(s):  
Mobile Communication ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Successive Interference Cancellation ◽  
Receiver Side ◽  
Superposition Coding ◽  
Radio Access ◽  
Power Domain ◽  
Basic Concepts

Non Orthogonal Multiple Access (NOMA) is fundamentally different from the Orthogonal Multiple Access (OMA) techniques as in NOMA the user make access to channel by using the same frequency and in the same time. In NOMA the multiplexing is performed in power domain by using superposition coding at the transmitter and receiver side uses Successive Interference Cancellation (SIC) to separate the transmitted signals that are multiplexed in power domain. This technique is a possible candidate for future radio access so this is a hot topic in research. Being a different method from OMA that is implemented in all previous mobile communication generations several misconceptions have been developed about this technique. This paper give an overview about NOMA based system and also analyze the major misconceptions about this technique and also explain the concepts to resolve these mistaken beliefs.

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