Power allocation in OFDM based NOMA systems: A DC programming approach

Parida, Priyabrata; Das, Suvra Sekhar

doi:10.1109/glocomw.2014.7063568

Cited by 166 publications

(138 citation statements)

References 10 publications

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“…In the grouping method, users can be paired only by picking one user up from each group. In the second method, which uses a greedy algorithm [10], a user can be added to a user set only if doing so would improve the scheduling metric.…”

Section: Introductionmentioning

confidence: 99%

Efficient selection of user sets for downlink non-orthogonal multiple access

Seyama

Dateki

Seki

2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Non-orthogonal multiple access (NOMA), which uses superposition coding at the transmitter side and successive interference cancellation at the receiver side, is a promising new downlink multiple access scheme. The product of user average throughputs among all users within a cell can be maximized by optimal proportional fair (PF) scheduling, but this is computationally complex because it requires an exhaustive search for all possible user sets and optimal power allocation among users. In this work, we propose a novel method of selecting user sets for PF scheduling in downlink NOMA. Unlike conventional suboptimal methods, the proposed method is based on the mathematical characteristics of the PF metric. The proposed method can reduce the complexity when the maximum number of multiplexed users is three and four as well as two by judging whether a user set is worth multiplexing or not on the basis of a simple condition between the weakest two users within the set. Computer simulation showed that the proposed method can significantly reduce the average number of searched user sets while achieving almost the same total and cell-edge throughput as the optimal method.

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Section: Introductionmentioning

confidence: 99%

Efficient selection of user sets for downlink non-orthogonal multiple access

Seyama

Dateki

Seki

2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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“…Users are multiplexed in the same power domain, and thus an important task to maximize the advantage of NOMA corresponds to controlling interference among multiple users via the proper allocation of resources [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Power allocation and user scheduling strategies in NOMA are broadly classified into different categories.…”

Section: Introductionmentioning

confidence: 99%

“…Power allocation to achieve user fairness was discussed in [4] and [5]. Conversely, in [6][7][8][9][10][11][12][13], the objective of power allocation involved sum rate maximization. Energy efficient power allocation strategies are investigated in [14] and [15], and outage-based power allocation is detailed in [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Optimal user selection and power allocation for revenue maximization in non‐orthogonal multiple access systems

Pazhayakandathil

Sukumaran

Koodamannu³

2019

ETRI Journal

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A novel algorithm for joint user selection and optimal power allocation for Stackelberg game‐based revenue maximization in a downlink non‐orthogonal multiple access (NOMA) network is proposed in this study. The condition for the existence of optimal solution is derived by assuming perfect channel state information (CSI) at the transmitter. The Lagrange multiplier method is used to convert the revenue maximization problem into a set of quadratic equations that are reduced to a regular chain of expressions. The optimal solution is obtained via a univariate iterative procedure. A simple algorithm for joint optimal user selection and power calculation is presented and exhibits extremely low complexity. Furthermore, an outage analysis is presented to evaluate the performance degradation when perfect CSI is not available. The simulation results indicate that at 5‐dB signal‐to‐noise ratio (SNR), revenue of the base station improves by at least 15.2% for the proposed algorithm when compared to suboptimal schemes. Other performance metrics of NOMA, such as individual user‐rates, fairness index, and outage probability, approach near‐optimal values at moderate to high SNRs.

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“…Several water-filling based methods are summarized and further studied in [42], where a weighted water-filling method is proposed in presence of user priority. In [43], an iterative suboptimal power allocation algorithm based on difference of convex (DC) programming is presented. The readers may refer to [13] for an extensive review about resource allocation algorithms in PD-NOMA.…”

Section: Pd-noma Pd-nomamentioning

confidence: 99%

Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey

Han

Zhao

et al. 2018

Wireless Communications and Mobile Computing

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Owing to the superior performance in spectral efficiency, connectivity, and flexibility, nonorthogonal multiple access (NOMA) is recognized as the promising access protocol and is now undergoing the standardization process in 5G. Specifically, dozens of NOMA schemes have been proposed and discussed as the candidate multiple access technologies for the future radio access networks. This paper aims to make a comprehensive overview about the promising NOMA schemes. First of all, we analyze the state-of-the-art NOMA schemes by comparing the operations applied at the transmitter. Typical multiuser detection algorithms corresponding to these NOMA schemes are then introduced. Next, we focus on grant-free NOMA, which incorporates the NOMA techniques with uplink uncoordinated access and is expected to address the massive connectivity requirement of 5G. We present the motivation of applying grant-free NOMA, as well as the typical grant-free NOMA schemes and the detection techniques. In addition, this paper discusses the implementation issues of NOMA for practical deployment. Finally, we envision the future research challenges deduced from the recently proposed NOMA technologies.

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Power allocation in OFDM based NOMA systems: A DC programming approach

Cited by 166 publications

References 10 publications

Efficient selection of user sets for downlink non-orthogonal multiple access

Efficient selection of user sets for downlink non-orthogonal multiple access

Optimal user selection and power allocation for revenue maximization in non‐orthogonal multiple access systems

Uplink Nonorthogonal Multiple Access Technologies Toward 5G: A Survey

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