Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network

Fang, Fang; Zhang, Haijun; Cheng, Julian; Leung, Victor C. M.

doi:10.1109/tcomm.2016.2594759

Cited by 436 publications

(387 citation statements)

References 33 publications

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“…This paper presents the asymptotic lower bound of (18) to ensure the strategies are comparable as shown in (19). Note that the hypothesis that (19) is the asymptotic lower bound of (18) is supported by the relationship among VLC channel gains.…”

Section: Our Alternative Bound In the Two-user Modelmentioning

confidence: 92%

“…In summary, (19), as a performance bound of the accessible user rate, can be substituted for (18) while retaining the same functional behaviour.…”

Section: Our Alternative Bound In the Two-user Modelmentioning

confidence: 99%

“…In NOMA, gain ratio power allocation (GRPA) [5,11,14] considers user channel conditions to ensure efficient and fair power allocation of LED transmitted signal power, while enhancing the achievable throughput in VLC networks. In RF and VLC, the power allocation of NOMA extends research goals in several major respects, such as user fairness [15,16], channel allocation [17,18], user scheduling [7,9,18], energy efficiency [9,[19][20][21], quality of service (QoS) requirement [9,10,22,23], and sum rate maximization [11,16,24,25].…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of gain ratio power allocation strategies for non-orthogonal multiple access in indoor visible light communication networks

Tao

et al. 2018

J Wireless Com Network

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Non-orthogonal multiple access (NOMA) is a promising method for enhancing the throughput in visible light communication (VLC) networks. In NOMA, signal power domain control, called gain ratio power allocation (GRPA), can significantly improve the user sum rate with full-time frequency resource utilization. In indoor NOMA-VLC networks, the scenario in which users are covered by VLC illuminants on the ceiling is typical. First, this paper proposes a novel GRPA strategy for a single VLC cell. Second, due to the difficulty of direct comparisons between our and previously reported GRPA strategies, this paper presents an alternative lower bound for comparability. Third, in two-and threeuser cases, this paper analytically demonstrates that our NOMA-VLC GRPA strategy outperforms the aforementioned strategy, when successive interference cancellation (SIC) is used. Moreover, in the multi-user case, experimental results show that the average user data rate (AUDR) of multi-user cases under our strategy is better than that under the previous strategy. Finally, our paper provides both analytic and numerical results to prove that VLC single-cell system throughput under our strategy is better than that under the previous strategy. The proposed alternative lower bound is also proved to fit the original NOMA-VLC GRPA target asymptotically based on indoor VLC channels. Furthermore, to achieve the same AUDR, our strategy supports worse received conditions than does the previous strategy.

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Section: Our Alternative Bound In the Two-user Modelmentioning

confidence: 92%

“…In summary, (19), as a performance bound of the accessible user rate, can be substituted for (18) while retaining the same functional behaviour.…”

Section: Our Alternative Bound In the Two-user Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance analysis of gain ratio power allocation strategies for non-orthogonal multiple access in indoor visible light communication networks

Tao

et al. 2018

J Wireless Com Network

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“…Considering the downlink of a NOMA wireless network, authors of [18] develop resource allocation algorithms Their algorithms are energy-efficient. In their approach, they assign only two users to the same subchannel.…”

Section: Introductionmentioning

confidence: 99%

Performance and Energy in Green Superposition Coding Wireless Networks: An Analytical Model

Kélif

Gorce

Gati

2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-In this paper, we develop a powerful analytical model of wireless network with Superposition Coding (SC), also referred to as Non Orthogonal Multiple Access (NOMA). This model allows to establish a closed form expression of the minimum power a base station (BS) need to transmit, for a user to achieve a given SINR (signal to interference plus noise ratio) whatever its location in the area covered by the base station. It moreover allows to establish a closed form expression of the minimum total transmit power of a base station. These closed form expressions allow to establish performance of wireless networks, by minimizing the base stations transmit powers. As an application, we show that these closed form expressions allow to quantify the energetic performance, spectral efficiency, total throughput and the coverage of a BS, in a simple and quick way.

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“…Multiple-input multiple-output (MIMO) systems improve reliability and spectral efficiency of communication systems as a result of multiple antennas and have been included in the fourth generation (4G) mobile communication standards [1,2]. Nowadays, three-dimensional multiple-input multipleoutput (3D-MIMO) system, equipped in a 2D planar array with a large number of active antennas, has shown large potential in increasing system capacity [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems

Ren

Gui

2017

Wireless Communications and Mobile Computing

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Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which spatial modulation (SM) transmission scheme is considered due to its advantages of low complexity and high-energy efficiency. SM based signal transmission typically results in the block-sparse structure in received signals. Hence, structured compressed sensing (SCS) based signal detection is proposed to exploit the inherent block sparsity information in the received signal for the uplink (UL). Moreover, normalization preprocessing is considered before iteration process with the purpose of preventing the noise from being overamplified by the column vector with inadequately large elements. Simulation results are provided to show the stable and reliable performance of the proposed algorithm under both Gaussian and non-Gaussian noise, in comparison with methods such as compressed sensing based detectors, minimum mean square error (MMSE), and zero forcing (ZF).

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Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network

Cited by 436 publications

References 33 publications

Performance analysis of gain ratio power allocation strategies for non-orthogonal multiple access in indoor visible light communication networks

Performance analysis of gain ratio power allocation strategies for non-orthogonal multiple access in indoor visible light communication networks

Performance and Energy in Green Superposition Coding Wireless Networks: An Analytical Model

Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems

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