Orthogonal Power Division Multiple Access: A Green Communication Perspective

Han, Weijia; Zhang, Yan; Wang, Xijun; Li, Jiandong; Sheng, Min; Ma, Xiao

doi:10.1109/jsac.2016.2600139

Cited by 37 publications

(15 citation statements)

References 25 publications

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“…To a certain extent, the power-domain NOMA can be viewed as being "orthogonal" if power divison multiplexing (PDM) is considered [13]. By dividing the transmit power into multiple power segments (PSs), multiple information streams can be transmitted at different PSs.…”

Section: Specification -Power-domain Nomamentioning

confidence: 99%

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Non-Orthogonal Multiple Access: A Unified Perspective

Wang

Zhang

Yang

et al. 2018

IEEE Wireless Commun.

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Abstract-Non-orthogonal multiple access (NOMA) is a promising technique for future mobile communication systems, which can approach multiuser channel capacity by sharing the same time-frequency resources with multiple users. In this article, we provide a unified framework for NOMA and review the principles of various NOMA schemes in different domains with the objective of creating a unified framework. A systematic performance comparison of different NOMA schemes regarding their peak-to-average power ratio, receiver complexity, latency, grant-free access, user load and peak throughput is also provided for different application scenarios. Relying on our unified framework, we generalize the current understanding of NOMA principle from the conventional code and power domains to the spatial domain as well as to their hybrids and to the networking domain. Finally, the challenges in terms of resource allocation, channel estimation, security, system flexibility and implementation issues are also discussed.

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Section: Specification -Power-domain Nomamentioning

confidence: 99%

“…Based on this observation, orthogonal power division multiple access (OPDMA) was proposed, which relied on bitorthogonal PSs capable of maintaining rate-fairness, which used SPC at the transmitter and SIC at the receiver. In fact, OPDMA can be regarded as an alternative interpretation of PD-NOMA [13].…”

Section: Specification -Power-domain Nomamentioning

confidence: 99%

Non-Orthogonal Multiple Access: A Unified Perspective

Wang

Zhang

Yang

et al. 2018

IEEE Wireless Commun.

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“…Since UEs harvest energy simultaneously and send informationbearing signals to the AP using NOMA, harvesting time becomes the only parameter to optimize for maximum performance. In the case in which each user harvests energy to support data transfer with halfduplex operation, the corresponding effective capacity expression of user i given in (16) is modified by Algorithm 2 Energy-efficient time allocation for non-overlapping scheme 1: Given: if i = N then 10:…”

Section: Impact Of Statistical Qos Constraintsmentioning

confidence: 99%

NOMA-Based Energy-Efficient Wireless Powered Communications

Zewde

Gursoy

2018

IEEE Trans. on Green Commun. Netw.

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In this paper, we study the performance of non-orthogonal multiple access (NOMA) schemes in wireless powered communication networks (WPCN) focusing on the system energy efficiency (EE). We consider multiple energy harvesting user equipments (UEs) that operate based on harvest-then-transmit protocol. The uplink information transfer is carried out by using power-domain multiplexing, and the receiver decodes each UE's data in such a way that the UE with the best channel gain is decoded without interference. In order to determine optimal resource allocation strategies, we formulate optimization problems considering two models, namely half-duplex and asynchronous transmission, based on how downlink and uplink operations are coordinated. In both cases, we have concave-linear fractional problems, and hence Dinkelbach's method can be applied to obtain the globally optimal solutions. Thus, we first derive analytical expressions for the harvesting interval, and then we provide an algorithm to describe the complete procedure.Furthermore, we incorporate delay-limited sources and investigate the impact of statistical queuing constraints on the energy-efficient allocation of operating intervals. We formulate an optimization problem that maximizes the system effective-EE while UEs are applying NOMA scheme for uplink information transfer. Since the problem satisfies pseudo-concavity, we provide an iterative algorithm using bisection method to determine the unique solution. In the numerical results, we observe that broadcasting at higher power level is more energy efficient for WPCN with uplink NOMA. Additionally, exponential decay QoS parameter has considerable impact on the optimal solution, and in the presence of strict constraints, more time is allocated for downlink interval under half-duplex operation with uplink TDMA mode. Index TermsEnergy efficiency, NOMA, statistical queuing constraints, wireless powered communications. T. A. Zewde is with the

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“…where the optimization goal (5) shows that the time average expected energy consumed by the transmitter from the power grid is minimized over an infinite horizon, therein max ½ρ P N n¼1 p n ðτÞ−BðτÞ; 0 represents the energy consumption from the power grid on slot τ, E{⋅} denotes statistical expectation. Constraint Eq.…”

Section: System Modelmentioning

confidence: 99%

“…A large number of green technologies/ methods for different wireless communication systems have been reported in the literatures [4][5][6]. Most of these works assume that the communication systems are powered by a constant energy source (such as traditional power grid, and diesel generator) or a rechargeable battery, such that the energy can be continuously used for system operations whenever needed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic power allocation for a multiuser transmitter with hybrid energy sources

Liu

Lin

Wang

et al. 2017

J Wireless Com Network

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In this paper, we investigate the problem of dynamic power allocation for a multiuser transmitter supplied by hybrid energy sources in details. Specifically, we focus on the hybrid energy sources which include both the traditional power grid and various renewable sources whereby there are a few issues in considerations: (1) The energy harvested jointly from various renewable sources is time-varying and possibly unpredictable and is stored in a limited capacity buffer with battery leakage. (2) At the meantime, the data arrives randomly to the transmitter and queues according to the individual receivers to wait to be transmitted. (3) In addition, the wireless channels fluctuate randomly due to fading. Taking into account the time variant and dynamic features of this system, we develop a dynamic power allocation algorithm for the transmitter with the aim of minimizing the average amount of energy consumption from the power grid over an infinite horizon, subject to all data in queues cannot exceed a given deadline of receivers. The research question is formulated as a stochastic optimization problem, then we utilize Lyapunov optimization to exploit an online algorithm with low complexity, and it does not require prior statistical knowledge of the stochastic processes. Performance analysis of the proposed algorithm is carried out in theory, which shows that the proposed algorithm performs arbitrarily close to the optimal objective value; meanwhile, the algorithm ensures that the maximum delay of all data queues cannot exceed a given value. Finally, performance comparison shows that our proposed algorithm provides not only better performance but also less time delay than other two algorithms.

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Orthogonal Power Division Multiple Access: A Green Communication Perspective

Cited by 37 publications

References 25 publications

Non-Orthogonal Multiple Access: A Unified Perspective

Non-Orthogonal Multiple Access: A Unified Perspective

NOMA-Based Energy-Efficient Wireless Powered Communications

Dynamic power allocation for a multiuser transmitter with hybrid energy sources

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