2020
DOI: 10.1109/access.2020.2979491
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Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Abstract: Non-orthogonal multiple access (NOMA)-enabled heterogeneous networks (N-HetNets) can provide higher system capacity and spectrum efficiency by allowing multiple users cooperating in the same channel. However, traditional resource allocation algorithms are achieved under perfect channel state information (CSI) which is difficult to obtain in practical systems. In this paper, we study the total energy efficiency maximization problem in a downlink multicell N-HetNets under imperfect CSI, where the constraints of … Show more

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Cited by 23 publications
(8 citation statements)
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“…However, the proposed effort had the following shortcomings: 1) the channel quality was not considered; 2) there was no power constraint; and 3) there was no pseudo-code for the proposed technique. By jointly optimizing transmit power and UA, the authors of [74] proposed a resilient EE maximization technique for a DL NOMA-based multi-cell HetNet with constrained channel uncertainty. Due to the complexity of the investigated nonconvex problem, the authors used the worst-case approach and Dinkelbach's method to convert it into a deterministic and convex optimization problem and then used Karush-Kuhn-Tucker conditions along with the Lagrange dual approach to derive the closed-form solutions of PA-UA.…”
Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning
confidence: 99%
“…However, the proposed effort had the following shortcomings: 1) the channel quality was not considered; 2) there was no power constraint; and 3) there was no pseudo-code for the proposed technique. By jointly optimizing transmit power and UA, the authors of [74] proposed a resilient EE maximization technique for a DL NOMA-based multi-cell HetNet with constrained channel uncertainty. Due to the complexity of the investigated nonconvex problem, the authors used the worst-case approach and Dinkelbach's method to convert it into a deterministic and convex optimization problem and then used Karush-Kuhn-Tucker conditions along with the Lagrange dual approach to derive the closed-form solutions of PA-UA.…”
Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning
confidence: 99%
“…Small cells can be configured in a variety of ways to reduce interference and increase energy efficiency [12]. It is also possible to improve spectral efficiency by making efficient use of the spectrum and reusing frequencies over short distances [13][14]. However, HUDNs face difficulties such as transmission power management, radio resource allocation, cell selection, interference mitigation, and overhead signaling to coordinate among small cells [15].…”
Section: Introductionmentioning
confidence: 99%
“…The configuration of small cells is flexible, and by setting intelligent rules, interference can be decreased, and energy efficiency can be improved [1], [18], [19]. Spectral efficiency can be enhanced through efficient spectrum use by reusing frequencies over relatively small distances [20], [21]. However, because of ultra-dense deployment and the uncertainty of user deployment features, HUDNs face challenges, such as radio resource allocation, cell selection, and interference mitigation [18], [19].…”
Section: Introductionmentioning
confidence: 99%