Joint Optimal Power Allocation and Beamforming for MIMO-NOMA in mmWave Communications

Aghdam, Mohammad Reza Ghavidel; Tazehkand, Behzad Mozaffari; Abdolee, Reza

doi:10.1109/lwc.2022.3150217

Cited by 10 publications

(10 citation statements)

References 12 publications

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Section: Related Workmentioning

confidence: 99%

“…Unlike the above works, some typical works considered the BFT problem in cellular networks [10][11][12][13]. The works in [10][11][12] discussed the combination use of NOMA and mmWave to support massive connectivity. The authors of [10] focused on the use of RBF to support machine-tomachine (M2M) communications, while the authors of 2…”

Section: Related Workmentioning

confidence: 99%

“…Wireless Communications and Mobile Computing [11] paid special attention to the distribution of mobile terminals in similar application scenarios. Furthermore, the authors of [12] addressed the problem for jointly optimizing power allocation and RBF to improve the system performance. As mentioned, advantages of NOMA come at the expense of higher network construction costs.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, when nonorthogonal multiple access (NOMA) and mmWave techniques are combined to enhance concurrent service capability in cellular networks, the amount of signaling information exchange for beam training will be dramatically increased. Fortunately, random beamforming (RBF) is an effective way of reducing the amount of overhead and latency in mmWave-NOMA cellular networks [10][11][12]. However, to take full advantage of NOMA, which allows multiple users to access the same time-frequency resource, cellular networks must have the capabilities for superposition coding and successive interference cancellation (SIC), which will place greater cost demands on cellular networks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

Gui

Liu

Zhou

2022

Wireless Communications and Mobile Computing

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In millimeter wave (mmWave) communication systems, beamforming-enabled directional transmission and network densification are commonly used to reduce high path loss and improve signal coverage quality. The combination of the two approaches will pose a challenge to radio resource allocation, which is especially true when terminals move frequently. The existing works presented some effective solutions for resource allocation in dense mmWave cellular networks, but they assumed that terminals move infrequently. So, these works cannot be directly applied to the dense mmWave cellular networks where terminals move frequently. In this paper, based on the results of the existing beamforming training (BFT) information-aided radio resource allocation algorithm, we propose a relay selection method to select a set of reasonable relays to take over the terminals whose performance deteriorates due to movement, which can ensure that each selected relay is as close as possible to the original performance of the corresponding moved terminal. Then, the resource allocation problem between the Device to Device (D2D) links from the selected relays to the corresponding moved terminals is formulated as a potential game model. By designing the utility function reasonably, the resource allocation results on the D2D links can converge to a Nash equilibrium solution. The simulation results show that the proposed scheme adapts to the scenario with frequent terminal movement, restrains the sharp performance decline caused by terminal movement, and outperforms the existing related algorithms in terms of average energy efficiency and throughput per link.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

Gui

Liu

Zhou

2022

Wireless Communications and Mobile Computing

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“…So far, just a few studies presented optimal power allocation strategies to achieve optimal performance metric such as outage probability[46]. Interestingly, our work firstly considers optimal SOP with respect to indicate the optimal power allocation coefficient which can further enhance the performance of the considered networks.…”

mentioning

confidence: 99%

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

Do¹,

Le²,

Vahid³

et al. 2022

Preprint

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<p>We focus on the secure performance metrics at the legitimate users, i.e. secure outage probability (SOP) and secrecy capacity, to quantify the secrecy performance of NOMA-RIS-aided IoT systems. We assume the RIS is placed between the access point and the legitimate devices, and is expected to enhance the link security through the smart phase shift mechanism of metasurface elements in RIS. We first present analytical results for the SOP and secrecy capacity. Next, an iterative search algorithm is adopted to exhibit optimal SOP for further insights and analysis. In order to help the base station allocate power coefficients to NOMA users properly, an efficient deep-neural network (DNN)-based secure metric prediction scheme is adopted to achieve the secure performance. Our derivations and simulations indicate that the number of meta-surface elements of the RIS and the average signal-to-noise ratio at the base station contribute the most to the system performance enhancement. </p>

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Performance evaluation of Non‐Orthogonal multiple access system based on outage probability and power consumption

Chandra,

Borugadda

2024

Int J Communication

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SummaryIn this growing world, the field of communication is developing quickly. The research community's attention is shifting to the design of networks beyond fifth generation (5G) and the sixth generation (6G) due to the rapid spread of the 5G mobile networks. Due to that, there will be a lot of traffic in the area, which will interfere with the channels and maybe produce noise. Nonorthogonal multiple access (NOMA) contributes to streamlined communication and a decrease in the possibility of interference. The communication will be encoded and decoded from transmitter to receiver utilizing the superposition coding (SC) and successive interference cancelation (SIC) approaches, ensuring the message's secrecy. This paper considers a simultaneous wireless information and power transfer (SWIPT)‐based cooperative NOMA system, where the nearby user to the source node acts as a relay to assist the far user. To further enhance the system performance, an improved golden search optimization (IGSO) is used to determine the best power allocation and power splitting coefficients by decreasing the outage probability. The existing models are compared with the proposed model in the results section regarding outage probability and throughput, where the proposed model outperformed all other existing models.

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Joint Optimal Power Allocation and Beamforming for MIMO-NOMA in mmWave Communications

Cited by 10 publications

References 12 publications

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

An Efficient Radio Resource Allocation Scheme considering Terminal Mobility in Dense mmWave Cellular Networks

A Deep Neural Network for Physical Layer Security Analysis in NOMA Reconfigurable Intelligent Surfaces-Aided IoT Systems

Performance evaluation of Non‐Orthogonal multiple access system based on outage probability and power consumption

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