Pairing and Power Allocation for Downlink Nonorthogonal Multiple Access Systems

Shi, Lanjie; Li, Bo; Chen, Haihua

doi:10.1109/tvt.2017.2748145

Cited by 24 publications

(11 citation statements)

References 18 publications

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“…It was also found that the two receivers which, under substantial channel conditions, can provide better sum rate gain in a fixed power allocation system; while the two receivers which have best channel conditions can provide better sum rate gain in a cognitive-radio-inspired NOMA system. The authors of [20] optimized the resource allocation to maximize the sum rate of multiple receivers NOMA systems, where receiver pairing was optimized by greedy search and power allocation was obtained with an iterative algorithm. These literatures are particularly interested in single-carrier NOMA systems.…”

Section: Related Workmentioning

confidence: 99%

Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Yuan

Tao

et al. 2021

IEEE Trans. Veh. Technol.

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Superposition coding allows secret messages to be delivered stealthily on top of legacy signals. The effective allocation of the limited transmit power at a transmitter is critical to serve the data rate request of a legacy (untrusted) receiver while accomplishing the stealthy and secure transmissions of secret messages to a trusted receiver, which is challenging under OFDM settings due to the non-convexity of the secrecy rate. This paper presents a new iterative algorithm, which optimizes the allocation of the transmit power across the OFDM subcarriers to minimize the transmit power, subject to the data rate request of the (legacy) untrusted receiver and the required secrecy rate of the trusted receiver. The algorithm can also maximize the secrecy rate of the trusted receiver, subject to the data rate request of the untrusted receiver and the total transmit power. In particular, the proposed algorithm decouples the power allocations between the trusted and untrusted receivers. Semi-closed-form solutions are established for the powers, and can be alternately analyzed until convergence with local optimality. Corroborated by simulations, the proposed techniques outperform existing alternatives in terms of power saving and achievable secrecy rate. As the untrusted receiver moves further away from the transmitter, the number of subcarriers carrying superposed signals increases and the secret messages can be delivered unnoticed.

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Section: Related Workmentioning

confidence: 99%

Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Yuan

Tao

et al. 2021

IEEE Trans. Veh. Technol.

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“…Instead of multi-user clusters, the problem of forming optimal user pairs has been studied in the literature. A greedy search based user pairing method and an iterative method for power allocation are proposed for NOMA systems in [7] and [8] with a channel state sorting pairing algorithm for pairing the existing users, and a user difference selecting access for new incoming users.…”

Section: A Prior Workmentioning

confidence: 99%

Hierarchical User Clustering for mmWave-NOMA Systems

Marasinghe

Jayaweera

Rajatheva

2020

2020 2nd 6G Wireless Summit (6G SUMMIT)

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Non-orthogonal multiple access (NOMA) and mmWave are two complementary technologies that can support the capacity demand that arises in 5G and beyond networks. The increasing number of users are served simultaneously while providing a solution for the scarcity of the bandwidth. In this paper we present a method for clustering the users in a mmWave-NOMA system with the objective of maximizing the sum-rate. An unsupervised machine learning technique, namely, hierarchical clustering is utilized which does the automatic identification of the optimal number of clusters. The simulations prove that the proposed method can maximize the sum-rate of the system while satisfying the minimum QoS for all users without the need of the number of clusters as a prerequisite when compared to other clustering methods such as k-means clustering.

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“…Furthermore, the authors of [22] introduced a user pairing method in order to enhance the performance for a cell-edge user in the NOMA system. Regarding downlink NOMA systems, a greedy-search algorithm for user pairing was proposed in [23]. In [8,24], the energy efficiency and sum-rate for multicarrier NOMA systems were considered.…”

Section: User Pairingmentioning

confidence: 99%

Spatial-Temporal-DBSCAN-Based User Clustering and Power Allocation for Sum Rate Maximization in Millimeter-Wave NOMA Systems

2020

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The combination of millimeter-wave (mmWave) communications and non-orthogonal multiple access (NOMA) systems exploits the capability to serve multiple user devices simultaneously in one resource block. User clustering, power allocation (PA), and hybrid beamforming problems in mmWave-NOMA systems can utilize the network setting’s potential to enhance the system performance. Based on similar characteristics of the spatial distributions of users in real life, we propose a novel spatial-temporal density-based spatial clustering of applications with noise (ST-DBSCAN)-based unsupervised user clustering in order to enhance the system sum-rate. ST-DBSCAN is a state-of-the-art density-based clustering algorithm for solving spatial and non-spatial problems. Moreover, instead of symmetric PA, we propose an inter-cluster PA algorithm. Next, we apply boundary-compressed particle swarm optimization in order to reduce inter-cluster interference and enhance system performance. The simulation results reveal that our proposed solution improves the sum-rate of mmWave-NOMA-based systems when compared with that of mmWave-OMA-based systems. In addition, we compare our proposed algorithm with other benchmark user clustering algorithms in order to investigate the performance of our ST-DBSCAN-based user clustering algorithm. The results also illustrate that our proposed approach outperforms the state-of-the-art user clustering algorithms in mmWave-NOMA systems.

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Pairing and Power Allocation for Downlink Nonorthogonal Multiple Access Systems

Cited by 24 publications

References 18 publications

Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Hierarchical User Clustering for mmWave-NOMA Systems

Spatial-Temporal-DBSCAN-Based User Clustering and Power Allocation for Sum Rate Maximization in Millimeter-Wave NOMA Systems

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