Resource Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) for Future Radio Access

Hojeij, Marie-Rita; Farah, Joumana; Nour, Charbel Abdel; Douillard, Catherine

doi:10.1109/vtcspring.2015.7146056

Cited by 78 publications

(86 citation statements)

References 11 publications

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“…The numerical degree of users' gain over a subchannel also plays a crucial role in the decision whether additional user will be allocated to that subchannel or not. Because of these user dynamics, some subchannels cannot be assigned to many users as the allocation of more and more users may decrease the sum-rate as well as its energy efficiency, which is proved in 10 20 30 40 50 60 Total Power Consumption (dBW) 18 Proposition 1. Due to the structure of the formulation, unlike the DC programming-based approach, the GP technique can provide fine-grained energy-efficient power allocation across all subchannel-user tuples.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…9), we can conclude R n ({1, 3}) > R n ({1, 2}). Moreover, using (18) [31] and then simplifying, R n ({1, 3}) and R n ({3, 2}) are given by R n ({1, 3}) = (15) log 2 (1 + pn(g n 1 ) 1+α (g n 1 ) α +(g n 3 ) α )(1 + pn(g n 1 ) 1+α (g n 1 ) α +(g n 3 ) α +png n 3 (g n 1 ) α ) , R n ({3, 2}) = (16) log 2 (1 + pn(g n 3 ) 1+α (g n 2 ) α +(g n 3 ) α )(1 + pn(g n 2 ) 1+α (g n 2 ) α +(g n 3 ) α +png n 2 (g n…”

Section: Resultsmentioning

confidence: 99%

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Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

Ruby

Zhong

et al. 2019

Computer Communications

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Non-orthogonal multiple access (NOMA) technique has the ability to support multiple transmissions simultaneously using the same physical resource, the idea of which achieves much enhanced performance for a system compared to the conventional orthogonal multiple access (OMA) techniques. Despite numerous advantages, this phenomenon of NOMA technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of the system is not properly optimized. While targeting on the green communication concept, in this paper, we propose an energy-efficient downlink resource allocation scheme for a NOMA-equipped cellular network. The objective of this work is to allocate subchannels and power of the base station among the users so that the overall energy efficiency is maximized. Since this problem is NP-hard, we attempt to find an elegant solution with reasonable complexity that provides good performance for some realistic applications. To this end, we decompose the problem into a subchannel allocation subproblem followed by a power loading subproblem that allocates power to each user's data stream on each of its allocated subchannels. We first employ a many-to-many matching model under the assumption of uniform power loading in order to obtain the solution of the first subproblem with reasonable performance. Once the the subchanneluser mapping information is known from the first solution, we propose a geometric programming (GP)-based power loading scheme upon approximating the energy efficiency of the system by a ratio of two posynomials. The techniques adopted for these subproblems better exploit the available multi-user diversity compared to the techniques used in an earlier work. Having observed the computational overhead of the GP-based power loading scheme, we also propose a suboptimal computationally-efficient algorithm for the power loading subproblem with a polynomial time complexity that provides reasonably good performance. Extensive simulation has been conducted to verify that our proposed solution schemes always outperform the existing work while consuming much less power at the base station.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

Ruby

Zhong

et al. 2019

Computer Communications

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“…To make this pairing, we need only the rough channel state estimate at the transmitter and not the finer CSI that would be needed in the receiver for decoding the data. This data could be used to decide whether or not to use NOMA and if we use, which users should be paired together [220].…”

Section: Non-orthogonal Multiple Accessmentioning

confidence: 99%

5G roadmap: 10 key enabling technologies

et al. 2016

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“…For example, in [13], [14], the authors use fractional transmit power allocation technique among users and equal power allocation concept across subchannels. [15] uses water-filling-based approach for power allocation, and in [16], the authors use difference of convex (DC) programming-based [17] approach for the power allocation in both user and subchannel levels. Energy-efficient downlink resource allocation has also been studied in some papers, such as [18]- [20].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Uplink Resource Allocation in Non-Orthogonal Multiple Access Systems

Ruby

Zhong

Yang

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-Non-orthogonal multiple access (NOMA) is envisioned to be one of the most beneficial technologies for next generation wireless networks due to its enhanced performance compared to other conventional radio access techniques. Although the principle of NOMA allows multiple users to use the same frequency resource, due to decoding complication, information of users in practical systems cannot be decoded successfully if many of them use the same channel. Consequently, assigned spectrum of a system needs to be split into multiple subchannels in order to multiplex that among many users. Uplink resource allocation for such systems is more complicated compared to the downlink ones due to the individual users' power constraints and discrete nature of subchannel assignment. In this paper, we propose an uplink subchannel and power allocation scheme for such systems. Due to the NP-hard and non-convex nature of the problem, the complete solution, that optimizes both subchannel assignment and power allocation jointly, is intractable. Consequently, we solve the problem in two steps. First, based on the assumption that the maximal power level of a user is subdivided equally among its allocated subchannels, we apply many-to-many matching model to solve the subchannel-user mapping problem. Then, in order to enhance the performance of the system further, we apply iterative water-filling and geometric programming two power allocation techniques to allocate power in each allocated subchannel-user slot optimally. Extensive simulation has been conducted to verify the effectiveness of the proposed scheme. The results demonstrate that the proposed scheme always outperforms all existing works in this context under all possible scenarios.

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Resource Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) for Future Radio Access

Cited by 78 publications

References 11 publications

Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

5G roadmap: 10 key enabling technologies

Enhanced Uplink Resource Allocation in Non-Orthogonal Multiple Access Systems

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