Interference Mitigation and Power Allocation Scheme for Downlink MIMO–NOMA HetNet

Nasser, Ahmed; Muta, Osamu; Elsabrouty, Maha; Gacanin, Haris

doi:10.1109/tvt.2019.2918336

Cited by 57 publications

(42 citation statements)

References 26 publications

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“…Ref. [30] uses a non-cooperative game to achieve power allocation scheme. Although the development of non-cooperative game is relatively mature, in reality, the rules of non-cooperation are not absolute.…”

Section: Related Workmentioning

confidence: 99%

A QoE-Oriented Uplink Allocation for Multi-UAV Video Streaming

Xie

Tian

2019

Sensors

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Video streaming has become a kind of main information carried by Unmanned Aerial Vehicles (UAVs). Unlike single transmission, when a cluster of UAVs execute the real-time video shooting and uploading mission, the insufficiency of wireless channel resources will lead to bandwidth competition among them and the competition will bring bad watching experience to the audience. Therefore, how to allocate uplink bandwidth reasonably in the cluster has become a crucial problem. In this paper, an intelligent and distributed allocation mechanism is designed for improving users’ video viewing satisfication. Each UAV in a cluster can independently adjust and select its video encoding rate so as to achieve flexible uplink allocation. This choice relies neither on the existence of the central node, nor on the large amount of information interaction between UAVs. Firstly, in order to distinguish video service from ordinary data, a utility function for the overall Quality of Experience (QoE) is proposed. Then, a potential game model is built around the problem. By a distributed self-learning algorithm with low complexity, all UAVs can iteratively update their own bandwidth strategy in a short time until equilibria, thus achieving the total quality optimization of all videos. Numeric simulation results indicate, after a few iterations, that the algorithm converges to a set of correlation equilibria. This mechanism not only solves the uplink allocation problem of video streaming in UAV cluster, but also guarantees the wireless resource providers in distinguishing and ensuring network service quality.

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Section: Related Workmentioning

confidence: 99%

A QoE-Oriented Uplink Allocation for Multi-UAV Video Streaming

Xie

Tian

2019

Sensors

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“…In [34], algorithms for clustering, beamforming, and power allocation were developed to maximize the SE in a general MIMO system with multiple UEs. To improve the SE for a DL heterogeneous network, the authors in [35] proposed a coordinated beamforming design to mitigate the interference. Considering the multiple-input single-output (MISO) systems, the authors in [36] utilized the order of signal power for beamforming design and approximated the DL sum rate maximization problem to a successive second-order-cone (SOC) program.…”

Section: Noma-assisted Spectral-energy Efficiencymentioning

confidence: 99%

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

et al. 2020

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Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted.

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“…To solve the nonconvex optimization problem, an algorithm based on Lagrange duality and successive convex approximation has been proposed. In [34], interference management and the power allocation problem have been jointly considered for a MIMO non-orthogonal multiple access (NOMA) HetNet. First, to cancel the inter-cluster and co-tier interference, an interference alignment and coordinated beamforming technique has been proposed for both macro cells and SCs.…”

Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

Ataeeshojai

Elliott

Krzymien

et al. 2020

IEEE Open J. Commun. Soc.

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Due to the dramatic increase in wireless data traffic and the associated increase in energy consumption, designing energy-efficient wireless networks with improved spectral efficiency is a pressing concern. The focus of this paper is the design of a green, highly energy-efficient cellular heterogeneous network (HetNet) by taking advantage of multiple-input-multiple-output (MIMO) structure and deployment of small cells. We consider the downlink of a two-tier HetNet, in which multiple-antenna small cells are coordinated to serve users. Even though the deployment of MIMO together with small cells improves the communication system's performance in terms of data rate and reliability, circuit energy consumption in such a network is a critical issue. To address this, an energy-efficient antenna selection and radio resource block assignment algorithm is proposed for the small cells, and a single radio-frequency (RF) chain structure is considered for the massive MIMO macro base station. Then, while coordinating transmissions between cells subject to user-centric clustering, an energy-efficient beamforming design and power allocation optimization problem with respect to the quality of service requirement of users, transmit power budget of base stations, and fronthaul capacity is formulated; the problem is solved using the Dinkelbach method. Simulation results demonstrate the performance potential of our proposed algorithm in terms of energy efficiency and spectral efficiency.

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Interference Mitigation and Power Allocation Scheme for Downlink MIMO–NOMA HetNet

Cited by 57 publications

References 26 publications

A QoE-Oriented Uplink Allocation for Multi-UAV Video Streaming

A QoE-Oriented Uplink Allocation for Multi-UAV Video Streaming

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets

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