On the Optimality of Power Allocation for NOMA Downlinks With Individual QoS Constraints

Yang, Zhaohui; Xu, Wei; Pan, Cunhua; Pan, Yijin; Chen, Ming

doi:10.1109/lcomm.2017.2689763

Cited by 194 publications

(116 citation statements)

References 10 publications

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“…According to (18), we can find that the optimal sum rate is mainly determined by the rate of user J im with best channel gain among users served by BS i on subchannel m and the optimal sum rate increases with the total transmission power of BS i on subchannel m on a logarithmic scale. Note that we obtain the similar conclusion as in [16]. The difference is that the inter-cell interference is not considered in [16].…”

Section: A Power Allocation In a Single Cellsupporting

confidence: 82%

Power Control for Multi-Cell Networks With Non-Orthogonal Multiple Access

Yang

Pan

et al. 2018

IEEE Trans. Wireless Commun.

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In this paper, we investigate the problems of sum power minimization and sum rate maximization for multi-cell networks with non-orthogonal multiple access. Considering the sum power minimization, we obtain closed-form solutions to the optimal power allocation strategy and then successfully transform the original problem to a linear one with a much smaller size, which can be optimally solved by using the standard interference function. To solve the nonconvex sum rate maximization problem, we first prove that the power allocation problem for a single cell is a convex problem. By analyzing the Karush-Kuhn-Tucker conditions, the optimal power allocation for users in a single cell is derived in closed form. Based on the optimal solution in each cell, a distributed algorithm is accordingly proposed to acquire efficient solutions. Numerical results verify our theoretical findings showing the superiority of our solutions compared to the orthogonal frequency division multiple access and broadcast channel.Index Terms-Non-orthogonal multiple access, power allocation, sum power minimization, sum rate maximization, DC programming.

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Section: A Power Allocation In a Single Cellsupporting

confidence: 82%

Power Control for Multi-Cell Networks With Non-Orthogonal Multiple Access

Yang

Pan

et al. 2018

IEEE Trans. Wireless Commun.

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“…It is intuitive that the users associated with small normalized channel gains should be allocated higher power levels in order to improve their received signal-to-interference and noise ratio (SINR), so that a high detection reliability can be guaranteed. More particularly, it has been validated in [121] that, to maximize the sum rate, it is optimal for each user to decode the signals of users having poorer normalized channel gains first. Although the users having larger normalized channel gains require less power, they are capable of correctly detecting their data with a high probability, as a benefit of SIC.…”

Section: A Power-domain Nomamentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

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Abstract-In the 5th generation (5G) of wireless communication systems, hitherto unprecedented requirements are expected to be satisfied. As one of the promising techniques of addressing these challenges, non-orthogonal multiple access (NOMA) has been actively investigated in recent years. In contrast to the family of conventional orthogonal multiple access (OMA) schemes, the key distinguishing feature of NOMA is to support a higher number of users than the number of orthogonal resource slots with the aid of non-orthogonal resource allocation. This may be realized by the sophisticated inter-user interference cancellation at the cost of an increased receiver complexity. In this article, we provide a comprehensive survey of the original birth, the most recent development, and the future research directions of NOMA. Specifically, the basic principle of NOMA will be introduced at first, with the comparison between NOMA and OMA especially from the perspective of information theory. Then, the prominent NOMA schemes are discussed by dividing them into two categories, namely, power-domain and code-domain NOMA. Their design principles and key features will be discussed in detail, and a systematic comparison of these NOMA schemes will be summarized in terms of their spectral efficiency, system performance, receiver complexity, etc. Finally, we will highlight a range of challenging open problems that should be solved for NOMA, along with corresponding opportunities and future research trends to address these challenges.

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“…To implement NOMA, BS needs to inform each CU of the SIC decoding order, so that strong CUs can decode and remove the signal from weak CUs. In current work, it is generally assumed that the SIC decoding order follows the increasing order of channel gains [10], [11]. Let h n i denote the channel from BS to CU i on n-th SC 2 .…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…are generally the task of the upper-layer, which are beyond the scope of this paper 2. Similar as[10],[11], the receivers are assumed to have the perfect channel state information by channel feedback.…”

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confidence: 99%

Resource Allocation for D2D Communications Underlaying a NOMA-Based Cellular Network

Pan

Yang

et al. 2018

IEEE Wireless Commun. Lett.

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130

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This letter investigates the power control and channel assignment problem in device-to-device (D2D) communications underlaying a non-orthogonal multiple access (NOMA) cellular network. With the successive interference cancellation decoding order constraints, our target is to maximize the sum rate of D2D pairs while guaranteeing the minimum rate requirements of NOMA-based cellular users.Specifically, the optimal conditions for power control of cellular users on each subchannel are derived first. Then, based on these results, we propose a dual-based iterative algorithm to solve the resource allocation problem. Simulation results validate the superiority of proposed resource allocation algorithm over the existing orthogonal multiple access scheme. Index TermsD2D, NOMA, power control, channel assignment.

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On the Optimality of Power Allocation for NOMA Downlinks With Individual QoS Constraints

Cited by 194 publications

References 10 publications

Power Control for Multi-Cell Networks With Non-Orthogonal Multiple Access

Power Control for Multi-Cell Networks With Non-Orthogonal Multiple Access

A Survey of Non-Orthogonal Multiple Access for 5G

Resource Allocation for D2D Communications Underlaying a NOMA-Based Cellular Network

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