The Application of Power-Domain Non-Orthogonal Multiple Access in Satellite Communication Networks

Yan, Xiaojuan; An, Kang; Liang, Tao; Zheng, Gan; Ding, Zhiguo; Chatzinotas, Symeon; Liu, Yan

doi:10.1109/access.2019.2917060

Cited by 87 publications

(43 citation statements)

References 31 publications

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“…In order to make the STSP k problem (16) more tractable, we first relax the integer constraint on s k ijm ∈ {0, 1} to a time sharing factor s k ijm ∈ [0, 1], which was proposed in [25] and indicates the portion of time the block (i, j) is allocated to user m. By introducing the factor, the mixed integer programming problem is converted into a continuous problem. Moreover, we define p k ijm = P k ijm s k ijm for all i, j and m. With the help of the sharing factor, p k ijm becomes the actual power allocated to user m. As a result, constraint (8), (9) and equation (1)…”

Section: B Lagrangian Decomposition For Sts Downlinksmentioning

confidence: 99%

“…P LAYING a compelling complementary role in 5G and beyond 5G communications, satellite networks have shown a great capability to augment terrestrial services thanks to their ubiquitous coverage, data offloading, and continuous services [1]- [6]. Giambene et al [3] provided an overview of an integrated satellite-5G network, and with the unbearable cost of pure terrestrial coverage, satellites will be the main approach to provide 5G services in rural and remote areas [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

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Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Cao

et al. 2020

IEEE Access

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This paper investigates a satellite-terrestrial backhaul framework to enhance efficient data offloading for heterogeneous terminals, including delay-sensitive and delay-tolerant users. In the considered architecture, ground terminals in satellite-terrestrial small cells can access different services via the satelliteterrestrial station (STS) in each cell. The satellite offloads the requested services to corresponding STSs, and each STS provides services to terrestrial terminals via an OFDM-based downlink system. We aim to maximize the sum throughput of all small cells while integrating joint satellite backhaul power allocation and STS downlink resource allocation. The problem is firstly decomposed into two types of subproblems by decoupling the optimization of satellite backhaul capacity and downlink capacity in small cells. Then, to satisfy users' delay requirements, the downlink STS throughput is maximized over multiple slots, and we propose a two-step algorithm to schedule users during these slots. By taking advantage of a delayviolation parameter, the algorithm iteratively approaches the optimal power and subchannel solution, while guaranteeing the delay requirements. Moreover, to reduce the computational complexity, we propose a greedy-based sub-optimal scheduling algorithm where delay requirements are guaranteed by users' selfsearch for favorable resources, aiming at sacrificing the minimum throughput in exchange for the delay performance. Simulation results show our algorithms effectively improve the throughput performance while ensuring the delay constraints, maintaining a well-performed balance between throughput and delay performance. INDEX TERMS Satellite-terrestrial backhauling, heterogenous services, small cells, delay awareness, lowcomplexity, power allocation, subchannel allocation.

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Section: B Lagrangian Decomposition For Sts Downlinksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Cao

et al. 2020

IEEE Access

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“…To maintain these diverse QoS requirements many potential technologies have been introduced into 5G communication network [10]. Among them, non-orthogonal multiple access (NOMA) is gaining popularity because it can support massive connectivity with limited resources, highly reliable transmissions, low transmission delays, and high spectral efficiency [11]- [13]. The key feature of NOMA is that multiple devices can be served from the same radio resource block (RRB), such as time, frequency, and codes, simultaneously utilizing the power domain [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems

Rezwan

Choi

2021

IEEE Access

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For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and low-latency communication (URLLC) services have been introduced. To ensure these quality-of-service (QoS) requirements, non-orthogonal multiple access (NOMA) has been introduced in which multiple devices can be served from the same frequency by manipulating the power domain and successive interference cancellation (SIC) technique. To maximize the efficiency of NOMA systems, an optimal resource allocation, such as power allocation and channel assignment, is a key issue that needs to be solved. Although many researchers have proposed multiple solutions, there have been no studies addressing the 5G QoS requirements and three services that coexist in the same network. In this paper, we formulate an optimal power allocation scheme under Karush-Kuhn-Tucker (KKT) optimality conditions incorporating different NOMA constraints to maximize the channel sum-rate and system fairness. We then propose a priority-based channel assignment with a deep Q-learning algorithm to maintain the 5G QoS requirements and increase the network performance. Finally, We conduct extensive simulations with respect to different system parameters and can confirm that the proposed scheme performs better than other existing schemes. INDEX TERMS Deep Q-learning, internet of things, joint resource allocation, non-orthogonal multiple access (NOMA).

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“…In [24], a novel channel estimation algorithm is devised in multi-beam satellite NOMA system. In [25], it introduces a general overview of the application of the NOMA to various satellite architectures, for the benefits of meeting the requirements of 5G. Moreover, a NOMA scheme in downlink land mobile satellite network and a comprehensive performance analysis of the considered system are studied in [26].…”

Section: Introductionmentioning

confidence: 99%

The Performance Analysis of Downlink NOMA in LEO Satellite Communication System

2020

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Non-orthogonal multiple access (NOMA) has the potential to provide higher throughput than conventional orthogonal multiple access (OMA), which has been considered as a key technology for 5G. NOMA in satellite communication system can provide anytime, anywhere access with improved spectral efficiency and system capacity because of its ubiquitous coverage. However, the characteristics of the satellite channels are different from that of the terrestrial network, i.e., huge time delay and Doppler shift. In this paper, different from the existing works, which mainly focus on the performance of NOMA in static terrestrial base stations and Geostationary orbit (GEO) scenarios, we investigate the performance analysis of downlink NOMA in dynamic low earth orbit (LEO) satellite communication system with Doppler shift considered. We combine NOMA and orthogonal frequency division multiplexing (OFDM) for better spectral efficiency. Our channel model includes both small scale model and large scale model. For simplify, we only consider two users in one spot beam. Besides, we express the performance analysis of downlink NOMA in LEO satellite communication system, like ergodic capacity, outage probability (OP) and mutual information. However, in traditional NOMA scheme, the proceeding error decision of the high power user will cause the deterioration of the subsequent detection performance. Therefore, a symmetrical coding (SC) scheme for different modulation mode is proposed for low power users to get better performance. Finally, simulation results validate the performance of the NOMA scheme is better than that of the OMA scheme. The proposed SC scheme can achieve a prominent increase performance contrasted to the traditional NOMA scheme. INDEX TERMS LEO satellite communication system, NOMA, ergodic capacity, outage probability, mutual information, symmetrical coding scheme. AIJUN LIU (Member, IEEE) received the B.S. degree in microwave communications and the M.S. and Ph.D. degrees in communications engineering and information systems from the College of Communications Engineering, Army Engineer

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The Application of Power-Domain Non-Orthogonal Multiple Access in Satellite Communication Networks

Cited by 87 publications

References 31 publications

Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems

The Performance Analysis of Downlink NOMA in LEO Satellite Communication System

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