Distributed Cluster Formation and Power-Bandwidth Allocation for Imperfect NOMA in DL-HetNets

Çelik, Abdulkadir; Tsai, Ming-Cheng; Radaydeh, Redha M.; Al-Qahtani, Fawaz S.; Alouini, Mohamed‐Slim

doi:10.1109/tcomm.2018.2879508

Cited by 50 publications

(47 citation statements)

References 36 publications

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“…In this paper, we address a robust EE maximization problem of multiple SCs under bounded channel uncertainties for downlink NOMA-based HetNets with one macrocell and multiple SCs. This work differs from previous works [25] and [26] in its imperfect CSI model and system models, where imperfect CSI errors follow certain statical models. The main contributions are summarized…”

Section: B Motivation and Contributionsmentioning

confidence: 84%

“…In [25], a bisection search algorithm via a gradient value was proposed to achieve robust EE maximization of SCs under the outage probability constraints of users. Moreover, consider the non-ideal SIC, the distributed cluster formation and power-bandwidth allocation problem was studied for downlink NOMA-based HetNets [26]. Robust RA problems have been also extended to heterogeneous vehicular networks [27] and heterogeneous Internet of Things (IoT) networks [28].…”

Section: A Related Workmentioning

confidence: 99%

“…Most of the existing works have not considered imperfect CSI. Although some RA algorithms with imperfect CSI have been studied from the perspective of stochastic optimization [25], [26], robust sensitivity (i.e., the impact of uncertain parameter on system performance) and computational complexity have not been analyzed, which is helpful to understand the impact of uncertainty on system performance, such as performance gap (i.e., the performance difference between the optimal RA design and the robust RA design). Therefore, it is necessary to insight the robust RA algorithm for multicell NOMA-based HetNets to obtain good system capacity and robustness.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

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Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Wang

et al. 2020

IEEE Access

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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 the quality of service of small-cell users, the maximum transmit power, and the cross-tier interference are considered. With the help of the ellipsoidal uncertainty sets, an iterative-based power allocation and user association algorithm is proposed based on the worst-case approach and the Lagrange dual method. Moreover, computational complexity, robust sensitivity and the impact of imperfect CSI error on user's outage probability are provided to insight the performance of the proposed algorithm. Simulation results demonstrate the robustness of the proposed algorithm.

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Section: B Motivation and Contributionsmentioning

confidence: 84%

Section: A Related Workmentioning

confidence: 99%

Section: B Motivation and Contributionsmentioning

confidence: 99%

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Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Wang

et al. 2020

IEEE Access

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“…Moreover, the OP of NOMA systems was investigated in [16], where the authors considered statistical channel state information (CSI) with the Nakagami-m channel models. In addition, power-bandwidth allocation and α-fair resource allocation are jointly studied under the assumption of imperfect SIC (ImpSIC) in [17] and [18], accordingly. Moreover, the authors in [19] and [20] studied the security aspects of hybrid automatic repeat request-assisted NOMA networks, where a security-required user is paired with a quality of service (QoS)-sensitive user to establish secure transmission.…”

Section: A Related Workmentioning

confidence: 99%

Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

et al. 2020

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Internet-of-Things (IoT) technology has received much attention due to its great potential to interconnect billions of devices in a broad range of applications. IoT networks can provide high-quality services for a large number of users and smart objects. On the other hand, massive connectivity in IoT networks brings problems associated with spectral congestion. This issue can be solved by applying cognitive radio (CR) and non-orthogonal multiple access (NOMA) techniques. In this respect, this paper studies the performance of cooperative CR-NOMA enabled IoT networks over a generalized α − µ fading channel model. Closed-form analytical expressions of the end-to-end outage probability (OP) for the secondary NOMA users are derived using the Meijer's G-function with a consideration of the impacts of the interference temperature constraint, primary interference, residual hardware impairments and imperfect successive interference cancellation. Moreover, to acquire some useful insights on the system performance, asymptotic closed-form OP expressions are provided. Additionally, the impact of α and µ fading parameters on the outage performance is examined and, as a result, it is concluded that the system performance sufficiently improves as α and/or µ increase. Furthermore, the outage performance of the proposed system model is shown to outperform that of an identical IoT network operating on orthogonal multiple access. Finally, the provided closed-form OP expressions are validated with Monte Carlo simulations. INDEX TERMS α − µ fading, cognitive radio (CR), cooperative communications, Internet-of-Things (IoT), non-homogeneous generalized fading, non-orthogonal multiple access (NOMA), outage probability (OP).

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“…, for @i P I λ , ś 1ďjăi jPIµ a j˙ωmind`ř1ďjăi jPIµˆś jăkăi kPIµ a k˙bj , for @i P I µ , i ą mind. , (26) where ω mind "…”

Section: A Slave Problems: Power Allocationmentioning

confidence: 99%

Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks

Çelik

Tsai

Radaydeh

et al. 2019

IEEE Trans. Commun.

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In this paper, we propose a distributed cluster formation (CF) and resource allocation (RA) framework for non-ideal non-orthogonal multiple access (NOMA) schemes in heterogeneous networks. The imperfection of the underlying NOMA scheme is due to the receiver sensitivity and interference residue from non-ideal successive interference cancellation (SIC), which is generally characterized by a fractional error factor (FEF). Our analytical findings first show that several factors have a significant impact on the achievable NOMA gain. Then, we investigate fundamental limits on NOMA cluster size as a function of FEF levels, cluster bandwidth, and quality of service (QoS) demands of user equipments (UEs). Thereafter, a clustering algorithm is developed by taking feasible cluster size and channel gain disparity of UEs into account. Finally, we develop a distributed α-fair RA framework where α governs the trade-off between maximum throughput and proportional fairness objectives. Based on the derived closed-form optimal power levels, the proposed distributed solution iteratively updates bandwidths, clusters, and UEs' transmission powers. Numerical results demonstrate that proposed solutions deliver a higher spectral and energy efficiency than traditionally adopted basic NOMA cluster size of two. We also show that an imperfect NOMA cannot always provide better performance than orthogonal multiple access under certain conditions. Finally, our numerical investigations reveal that NOMA gain is maximized under downlink/uplink decoupled (DUDe) UE association.

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Distributed Cluster Formation and Power-Bandwidth Allocation for Imperfect NOMA in DL-HetNets

Cited by 50 publications

References 36 publications

Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI

Hardware- and Interference-Limited Cognitive IoT Relaying NOMA Networks With Imperfect SIC Over Generalized Non-Homogeneous Fading Channels

Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks

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