Dynamic Divide Grouping Non-Orthogonal Multiple Access in Terrestrial-Satellite Integrated Network

Yan, Yanjun; Xu, Huihui; Zhang, Ning; Han, Guangjie; Liu, Mingliu

doi:10.3390/s21186199

Cited by 6 publications

(7 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step 1: calculate ϱ l,i and ϱ l,j for the given Θ while not converge do for t = 1 : t max do Compute R l,i +R l,j P l (ϱ l,i +ϱ l,j )+pc (t) Update λ 1 , λ 2 , λ 3 , λ 4 by ( 23)- (26) Compute ϱ l,i and ϱ l,j using ( 18) and ( 22 dBi, G max = 52.1 dBi, and the height of the LEO satellite is 554.8 km [47]. Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Zhao et al [25] have derived closed-form solutions for the achievable and asymptotic outage probability of satellite networks under hardware impairment and imperfect signal decoding. Moreover, the authors of [26] have proposed a joint power and channel allocation framework to maximize the sum rate of terrestrial-satellite networks. The research work in [27] has provided a fair resource allocation framework in cooperative satellite networks to maximize the minimum capacity.…”

Section: A Recent Literature On Leo Satellite Networkmentioning

confidence: 99%

See 1 more Smart Citation

When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G

Khan

Lagunas

Mahmood

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

View full text Add to dashboard Cite

Low Earth Orbit (LEO) satellite networks are expected to play a crucial role in providing high-speed internet access and low-latency communication worldwide. However, some challenges can affect the performance of LEO satellite networks. For example, they can face energy and spectral efficiency challenges, such as high power consumption and spectral congestion, due to the increasing number of satellites. Furthermore, mobile ground users tend to operate with low directive antennas, which pose significant challenges in closing the LEO-toground communication link, especially when operating at a highfrequency range. To overcome these challenges, energy-efficient technologies like reconfigurable intelligent surfaces (RIS) and advanced spectrum management techniques like non-orthogonal multiple access (NOMA) can be employed. RIS can improve signal quality and reduce power consumption, while NOMA can enhance spectral efficiency by sharing the same resources among multiple users. This paper proposes an energy-efficient RIS-assisted downlink NOMA communication for LEO satellite networks. The proposed framework simultaneously optimizes the transmit power of ground terminals of the LEO satellite and the passive beamforming of RIS while ensuring the quality of services. Due to the nature of the considered system and optimization variables, the energy efficiency maximization problem is non-convex. In practice, obtaining the optimal solution for such problems is very challenging. Therefore, we adopt alternating optimization methods to handle the joint optimization in two steps. In step 1, for any given phase shift vector, we calculate satellite transmit power towards each ground terminal using the Lagrangian dual method. Then, in step 2, given the transmit power, we design passive beamforming for RIS by solving the semi-definite programming. We also compare our solution with a benchmark framework having a fixed phase shift design and a conventional NOMA framework without involving RIS. Numerical results show that the proposed optimization framework achieves 21.47% and 54.9% higher energy efficiency compared to the benchmark and conventional frameworks.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: A Recent Literature On Leo Satellite Networkmentioning

confidence: 99%

When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G

Khan

Lagunas

Mahmood

et al. 2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

View full text Add to dashboard Cite

show abstract

“…Strategically utilizing UP schemes aims to enhance spectral efficiency, improve throughput, and manage interference, thereby optimizing the overall performance of aerial communication networks. The work of [61] suggested that a distance-based model can be utilized to establish NOMA-UP with stable channel differences.…”

Section: User-pairingmentioning

confidence: 99%

A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach

Mayarakaca,

Lee

2024

IEEE Access

View full text Add to dashboard Cite

The rapid evolution of wireless communication has affected unmanned aerial vehicles (UAV), which are expected to be used in diverse applications in smart cities, military operations, and cellular networks. To address the significant impacts of rapid wireless communication advancements, along with the escalating demand for user equipment (UE), multiple access technique approaches, such as non-orthogonal multiple access (NOMA), have been proposed. NOMA has the key distinguishing feature of supporting more UE, particularly UAV-enabled communication networks. In these networks, to support more UE, multiple UE share the same frequency resources, which can be beneficial for UAV communication networks. To achieve optimal results, UAVs need to adaptively adjust to their environment, and this can be achieved through employing machine learning (ML). ML is a subfield of artificial intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Employing ML can aid NOMA for UAV networks to analyze various parameters and rely on accurate predictions regarding various aspects of communication, such as channel conditions, user mobility, and traffic demands. The use of ML in NOMA-UAV networks can lead to significant improvements in wireless communication systems. In this paper, we present a survey on the potential of NOMA techniques applied to UAVs using ML methods to enhance UAVs in wireless communication networks. Specifically, a basic overview of UAV and NOMA will first be introduced. The role of NOMA in UAV networks is then divided into two categories: the principles and applications of NOMA in UAV networks. Finally, implement ML on NOMA for UAVs by representing the diverse applications of ML systems. In addition, we highlight several open research problems as possible directions for future research.INDEX TERMS Aerial networks, machine learning (ML), non-orthogonal multiple Access (NOMA), unmanned aerial vehicles (UAV).

show abstract

“…In cellular mobile communications, the design of the radio access network (RAN) is one important aspect of improving system capacity in a cost-effective manner. Orthogonal multiaccess (OMA) techniques, under the name of orthogonal frequency division multiple access (OFDMA), are used in the Fourth Generation (4G) long-term evolution (LTE) [7][8][9][10]. In OMA, within a cell, each user has exclusive access to the allocated resource blocks.…”

Section: Introductionmentioning

confidence: 99%

Non-Terrestrial Networks Based on Non-Orthogonal Multiple Access Towards 6G

Ahmed,

A. Majeed,

Salim Abdullah Hasan

2024

DJES

View full text Add to dashboard Cite

Until now many regions around the world are still uncovered by cellular terrestrial mobile system services due to the lack of economic feasibility as well as the difficulty of introducing such services. Conversely, a large geographic region can be covered by using only a single satellite, so it is worthwhile to extend the actual terrestrial services using satellite system. The new hybrid integrated “terrestrial-satellite” cellular system, known under the name of Non-Terrestrial Networks (NTN), will see the light with the support of future 6G technology. It is expected that 6G cellular mobile system will play the role of integrating terrestrial, aerial, maritime, and space communications into a universal network that could support a massive number of terminals with ultra-low latency. For the realization of the NTN system, new technologies should be introduced at the level of terrestrial cellular network, arial network, and satellite network. One of these promising technologies is represented by an efficient multiplexing technique known under the name of non-orthogonal multiple access (NOMA). With this technique, multiple users can be served on a single time-frequency resource block by using the concepts of superposition coding at the transmitter and successive interference cancellation (SIC) at the receiver. Moreover, NOMA has an achievable performance gain in terms of spectral efficiency over the traditional orthogonal multiple access (OMA) technique. Evaluation of a NOMA-based NTN system supported by 6G technologies in terms of system parameters and channel capacity represent the main objective of this paper.

show abstract

Dynamic Divide Grouping Non-Orthogonal Multiple Access in Terrestrial-Satellite Integrated Network

Cited by 6 publications

References 47 publications

When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G

When RIS Meets GEO Satellite Communications: A New Sustainable Optimization Framework in 6G

A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach

Non-Terrestrial Networks Based on Non-Orthogonal Multiple Access Towards 6G

Contact Info

Product

Resources

About