Robust Energy-Efficient Design for MISO Non-Orthogonal Multiple Access Systems

Alavi, Faezeh; Cumanan, Kanapathippillai; Fozooni, Milad; Ding, Zhiguo; Lambotharan, Sangarapillai; Dobre, Octavia A.

doi:10.1109/tcomm.2019.2931972

Cited by 25 publications

(21 citation statements)

References 56 publications

(54 reference statements)

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“…In this section, we provide numerical results to validate the performance of our proposed design. Unless specified, similar to [19]- [25], the simulation setting is assumed as follows: N t = 4, K = N = 2, P c = 3 dBW, R = 0.5 bps/Hz, ϕ = δ = 0.1, γ = −40 dBW, Γ = 0 dBW. Each entry of h p , h s , and h r,j are randomly generated by CN 0, 10 −2 , and the associated channel uncertainty of g e,k is R k = σ 2 I, ∀k ∈ K. Regarding the non-linear EH model parameters, we adopt M = 24 mW, a = 160 and b = 0.014.…”

Section: Numerical Resultsmentioning

confidence: 99%

Outage Constrained Robust Secrecy Energy Efficiency Maximization for EH Cognitive Radio Networks

et al. 2020

IEEE Wireless Commun. Lett.

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In this letter, we investigate the outage-constrained robust secure design in a multiple-input single-output (MISO) energy harvesting (EH) cognitive radio network (CRN), where the malicious energy receivers (ERs) may wiretap the desired information and hence can be treated as potential eavesdroppers (Eves). In particular, considering a non-linear energy harvesting (EH) model, our objective is to design the transmit covariance matrix to maximize the secrecy energy efficiency (SEE) under the given outage probability and transmit power constraints, while satisfying the EH and quality-of-service (QoS) requirements. To tackle the original non-convex problem, we resort to semidefinite relaxation (SDR) and Bernstein-type inequality (BTI)based approximations to reformulate it into a tractable form. Then, the original problem becomes decomposable and can be efficiently solved by handling a two-stage optimization problem. At last, numerical results are provided to demonstrate the effectiveness and superior performance of the proposed design in comparisons with the existing schemes. Index Terms-Cognitive radio network (CRN), energy harvesting, secrecy energy efficiency (SEE), outage probability.

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Section: Numerical Resultsmentioning

confidence: 99%

Outage Constrained Robust Secrecy Energy Efficiency Maximization for EH Cognitive Radio Networks

et al. 2020

IEEE Wireless Commun. Lett.

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“…The noise variances at the SU-Rx and ER are set to σ 2 su = 1 and σ 2 er = 1, respectively. The convergence tolerances ε, ς and ρ defined in (16), (30) and (41), respectively, are assumed to be 10 −3 .…”

Section: Simulation Resultsmentioning

confidence: 99%

Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network With Energy Harvesting

Zhang¹,

Cumanan²,

Thiyagalingam³

et al. 2019

IEEE Access

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In this paper, we investigate different secrecy energy efficiency (SEE) optimization problems in a multiple-input single-output underlay cognitive radio (CR) network in the presence of an energy harvesting receiver. In particular, these energy efficient designs are developed with different assumptions of channels state information (CSI) at the transmitter, namely perfect CSI, statistical CSI and imperfect CSI with bounded channel uncertainties. In particular, the overarching objective here is to design a beamforming technique maximizing the SEE while satisfying all relevant constraints linked to interference and harvested energy between transmitters and receivers. We show that the original problems are non-convex and their solutions are intractable. By using a number of techniques, such as non-linear fractional programming and difference of concave (DC) functions, we reformulate the original problems so as to render them tractable. We then combine these techniques with the Dinkelbach's algorithm to derive iterative algorithms to determine relevant beamforming vectors which lead to the SEE maximization. In doing this, we investigate the robust design with ellipsoidal bounded channel uncertainties, by mapping the original problem into a sequence of semidefinite programs This paper has been presented in part at the IEEE Wireless Communications and Signal Processing (WCSP), October 11-13, 2017 [1]. M. Zhang is with the ). Z. Ding is with the School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK (email: zhiguo.ding@manchester.ac.uk). O. A. Dobre is with the employing the semidefinite relaxation, non-linear fractional programming and S-procedure. Furthermore, we show that the maximum SEE can be achieved through a search algorithm in the single dimensional space. Numerical results, when compared with those obtained with existing techniques in the literature, show the effectiveness of the proposed designs for SEE maximization.

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“…In this subsection, we derive the achievable SINR of the user with the aid of conjugate beamforming defined in (4). We use NOMA, in which the user having a higher received power detects its signal first, which is then demodulated and the corresponding signal is subtracted from the composite received signal, hence leaving behind the uninterfered signal of the lower-power user.…”

Section: B Conjugate Beamformingmentioning

confidence: 99%

On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching

Bashar

Cumanan

Burr

et al. 2020

IEEE Trans. Commun.

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The downlink (DL) of a non-orthogonal-multipleaccess (NOMA)-based cell-free massive multiple-input multipleoutput (MIMO) system is analyzed, where the channel state information (CSI) is estimated using pilots. It is assumed that the users are grouped into multiple clusters. The same pilot sequences are assigned to the users within the same clusters whereas the pilots allocated to all clusters are mutually orthogonal. First, a user's bandwidth efficiency (BE) is derived based on his/her channel statistics under the assumption of employing successive interference cancellation (SIC) at the users' end with no DL training. Next, the classic max-min optimization framework is invoked for maximizing the minimum BE of a user under peraccess point (AP) power constraints. The max-min user BE of NOMA-based cell-free massive MIMO is compared to that of its orthogonal multiple-access (OMA) counter part, where all users employ orthogonal pilots. Finally, our numerical results are presented and an operating mode switching scheme is proposed based on the average per-user BE of the system, where the mode set is given by Mode = { OMA, NOMA }. Our numerical results confirm that the switching point between the NOMA and OMA modes depends both on the length of the channel's coherence time and on the total number of users.

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Robust Energy-Efficient Design for MISO Non-Orthogonal Multiple Access Systems

Cited by 25 publications

References 56 publications

Outage Constrained Robust Secrecy Energy Efficiency Maximization for EH Cognitive Radio Networks

Outage Constrained Robust Secrecy Energy Efficiency Maximization for EH Cognitive Radio Networks

Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network With Energy Harvesting

On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching

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