Quantum-Aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems

Botsinis, Panagiotis; Alanis, Dimitrios; Babar, Zunaira; Nguyen, Hung Viet; Chandra, Daryus; Ng, Soon Xin; Hanzo, Lajos

doi:10.1109/access.2016.2591904

Cited by 30 publications

(17 citation statements)

References 57 publications

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“…2 plots the outage probability of two users versus SNR without direct link and the value of LI is assumed to be E{|h LI | 2 } = −15 dB. The exact theoretical curves for the outage probability of two users for FD/HD NOMA are plotted according to (10), (14) and (12), (17), respectively. Obviously, the exact outage probability curves match precisely with the Monte Carlo simulation results.…”

Section: A Without Direct Linkmentioning

confidence: 99%

Exploiting Full/Half-Duplex User Relaying in NOMA Systems

Yue

Liu

Kang

et al. 2018

IEEE Trans. Commun.

335

295

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In this paper, a novel cooperative non-orthogonal multiple access (NOMA) system is proposed, where one near user is employed as decode-and-forward (DF) relaying switching between full-duplex (FD) and half-duplex (HD) mode to help a far user. Two representative cooperative relaying scenarios are investigated insightfully. The first scenario is that no direct link exists between the base station (BS) and far user. The second scenario is that the direct link exists between the BS and far user. To characterize the performance of potential gains brought by FD NOMA in two considered scenarios, three performance metrics outage probability, ergodic rate and energy efficiency are discussed. More particularly, we derive new closed-form expressions for both exact and asymptotic outage probabilities as well as delay-limited throughput for two NOMA users. Based on the derived results, the diversity orders achieved by users are obtained. We confirm that the use of direct link overcomes zero diversity order of far NOMA user inherent to FD relaying. Additionally, we derive new closed-form expressions for asymptotic ergodic rates. Based on these, the high signal-tonoise radio (SNR) slopes of two users for FD NOMA are obtained. Simulation results demonstrate that: 1) FD NOMA is superior to HD NOMA in terms of outage probability and ergodic sum rate in the low SNR region; and 2) In delay-limited transmission mode, FD NOMA has higher energy efficiency than HD NOMA in the low SNR region; However, in delay-tolerant transmission mode, the system energy efficiency of HD NOMA exceeds FD NOMA in the high SNR region.

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Section: A Without Direct Linkmentioning

confidence: 99%

Exploiting Full/Half-Duplex User Relaying in NOMA Systems

Yue

Liu

Kang

et al. 2018

IEEE Trans. Commun.

335

295

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“…3) The Quantum Algorithms: In [107], the discrete-valued and continuous-valued Quantum-assisted Particle Swarm Optimization (QPSO) algorithms were proposed in the context of finding the optimal perturbation vector and the optimal transmitted vector, respectively, as depicted in Fig. 20.…”

Section: Multi-user Transmissionmentioning

confidence: 99%

Quantum Search Algorithms for Wireless Communications

Botsinis

Alanis

Babar

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

117

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Faster, ultra-reliable, low-power and secure communications has always been high on the wireless evolutionary agenda. However, the appetite for faster, more reliable, greener and more secure communications continues to grow. The stateof-the-art methods conceived for achieving the performance targets of the associated processes may be accompanied by an increase in computational complexity. Alternatively, a degraded performance may have to be accepted due to the lack of jointly optimized system components. In this survey we investigate the employment of quantum computing for solving problems in wireless communication systems. By exploiting the inherent parallelism of quantum computing, quantum algorithms may be invoked for approaching the optimal performance of classical wireless processes, despite their reduced number of cost-function evaluations. In this contribution we discuss the basics of quantum computing using linear algebra, before presenting the operation of the major quantum algorithms, which have been proposed in the literature for improving wireless communications systems. Furthermore, we investigate a number of optimization problems encountered both in the physical and network layer of wireless communications, while comparing their classical and quantumassisted solutions. Finally, we state a number of open problems in wireless communications that may benefit from quantum computing.

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“…Joint channel estimation and data detection was studied in the uplink of multi-input multi-output (MIMO) systems [10]. Optimization of vector perturbation precoding for the multi-user transmission was proposed in [11]. However, they typically assume that long qubits (e.g., more than 1000) are available and that quantum-circuit gates have no errors, which may be beyond the capabilities of near-term noisy intermediate-scale quantum (NISQ) computers.…”

Section: Introductionmentioning

confidence: 99%

Channel Decoding with Quantum Approximate Optimization Algorithm

Matsumine

Koike‐Akino

Wang

2019

2019 IEEE International Symposium on Information Theory (ISIT)

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Motivated by the recent advancement of quantum processors, we investigate quantum approximate optimization algorithm (QAOA) to employ quasi-maximum-likelihood (ML) decoding of classical channel codes. QAOA is a hybrid quantumclassical variational algorithm, which is advantageous for the near-term noisy intermediate-scale quantum (NISQ) devices, where the fidelity of quantum gates is limited by noise and decoherence. We first describe how to construct Ising Hamiltonian model to realize quasi-ML decoding with QAOA. For level-1 QAOA, we derive the systematic way to generate theoretical expressions of cost expectation for arbitrary binary linear codes. Focusing on (7, 4) Hamming code as an example, we analyze the impact of the degree distribution in associated generator matrix on the quantum decoding performance. The excellent performance of higher-level QAOA decoding is verified when Pauli rotation angles are optimized through meta-heuristic variational quantum eigensolver (VQE). Furthermore, we demonstrate the QAOA decoding performance in a real quantum device.• We develop a new framework with QAOA quantum processor to decode classical channel codes; • We introduce an Ising Hamiltonian for QAOA to realize quasi-ML decoding of arbitrary linear binary codes;

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Quantum-Aided Multi-User Transmission in Non-Orthogonal Multiple Access Systems

Cited by 30 publications

References 57 publications

Exploiting Full/Half-Duplex User Relaying in NOMA Systems

Exploiting Full/Half-Duplex User Relaying in NOMA Systems

Quantum Search Algorithms for Wireless Communications

Channel Decoding with Quantum Approximate Optimization Algorithm

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