Lens-Based Millimeter Wave Reconfigurable Antenna NOMA

Almasi, Mojtaba Ahmadi; Amiri, Roohollah; Vaezi, Mojtaba; Mehrpouyan, Hani

doi:10.1109/iccw.2019.8756960

Cited by 13 publications

(8 citation statements)

References 17 publications

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“…Based on the lens antenna systems, subsequent work has explored the beam selection schemes [19], [20], beamspace channel estimation techniques [21], [22], link budget estimation [23], and etc. Their performance on MIMO non-orthogonal multiple access (NOMA) systems [24], [25], wireless local area network (WLAN), and wireless personal area network (WPAN) communication systems [26], [27] has also been evaluated.…”

Section: Introductionmentioning

confidence: 99%

Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array

Zhang

Cheng

et al. 2021

IEEE Access

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Lens antenna arrays can significantly reduce the number of radio frequency (RF) chains and provide a cost-effective beamforming approach to millimeter-wave massive multiple-input multiple-output (MIMO) systems. However, the presence of curved fronts has imposed practical challenges in fabrication and system integration as the antennas have to be deployed on the lens focal curve or face. To this end, we analyze the massive MIMO system with an all-planar RF lens antenna array whose lens is made of metamaterials and the antennas are distributed on a two-dimensional (2D) plane. In terms of this structure, we then propose a power-profile based antenna selection method. Specifically, by considering the coupling among antenna elements and that between the RF-lens and the antenna array, the analyses regard the lens and antennas as an entity using a full-wave model. Antennas are selected according to the angle of arrivals (AoAs) of signals transmitted by users and the lens response to the incident wave from an arbitrary direction on antennas. Simulations are provided for verifying the system performance and to show: i) Specific gain responses on each element of the base station antenna array for user terminals distributed at different locations; and ii) The all-planar lens antenna array supports a spectrum efficiency upto 170.7 bps/Hz for a 25 GHz MIMO system with 50 user terminals and a signal-to-noise ratio (SNR) of 10 dB.

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Section: Introductionmentioning

confidence: 99%

Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array

Zhang

Cheng

et al. 2021

IEEE Access

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“…Recently, NOMA has been incorporated into the mmWave communication, termed mmWave-December 1, 2020 DRAFT NOMA, to enhance spectral efficiency and connectivity of the network. Here, we review the work on mmWave-NOMA networks in the downlink transmission with a single transmitter [9], [13]- [20]. In [13], a random beamforming method is studied for mmWave directional transmission.…”

Section: Introductionmentioning

confidence: 99%

“…Also, [19] evaluates the effect of beam misalignment on the sum-rate performance of mmWave-NOMA networks with hybrid beamforming. Further, NOMA is utilized in lens-based mmWave reconfigurable antennas to increase the number of served users and improve the sum-rate in [20]. What is common among the above works is the assumption that there is sufficient time to train the beams.…”

Section: Introductionmentioning

confidence: 99%

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

Almasi

Jiang

Jafarkhani

et al. 2021

IEEE Trans. Wireless Commun.

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The use of directional transmission in millimeter-Wave (mmWave) frequencies results in limited channel coherence time. In this paper, we take the limited channel coherence time into account for non-orthogonal multiple access (NOMA) in mmWave hybrid beamforming systems. Due to the limited coherence time, the beamwidth of the hybrid beamformer affects the beam-training time, which in turn directly impacts the data transmission rate. To investigate this trade-off, we utilize a combined beamtraining algorithm. Then, we formulate a sum-rate expression which considers the channel coherence time and beam-training time as well as users' power and other system parameters. Further, a joint power and beamwidth optimization problem is solved by iterating between the power allocation and the beamwidth optimization. When allocating the power, we use the log-exponential reformulation and the sequential parametric convex approximation (SPCA) methods to solve the non-convex problem.Since beamwidth optimization involves too many variables, we propose an algorithm which iterates between clusters of users. Numerical results show that the optimized mmWave hybrid beamforming-NOMA system can achieve much higher sum-rates compared to NOMA with analog beamforming and traditional multiple access techniques.

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“…The signals of these users may propagate through similar paths or directions. In a millimeter-wave transmission, which is highly directional, the users in the same cluster could lie in the direction of the same transmission beam [25]. Furthermore, pairing highly correlated users can suppress the inter-cluster interference at the weak user and also the intra-cluster interference [26].…”

Section: Introductionmentioning

confidence: 99%

On Optimizing Feedback-Rate Allocation for Downlink MIMO-NOMA With Quantized CSIT

Mamat

Santipach

2020

IEEE Open J. Commun. Soc.

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We consider multiple-input multiple output (MIMO) non-orthogonal multiple access (NOMA) downlink channels with zeroforcing beamforming transmission. The base station has multiple transmit antennas while all mobile devices have single receive antenna. With a limited feedback rate, channel direction information (CDI) needs to be quantized and fed back from mobile users to a base station. Thus, the accuracy of the quantized channel state information at the transmitter (CSIT) will depend on the feedback rate. To increase spectral efficiency, 2 active users in some clusters share the same beamforming vector and thus, will interfere fully with each other. Given a total-feedback rate, we analyze the feedback allocation for clusters with single active user and 2 active users. The objective is to either minimize the maximum outage probability or maximize the minimum rate among all active users in a cell. We show that the proposed feedback allocation is close to the optimum. Some numerical examples show that the resulting rate performance with the proposed feedback allocation is increased by 100% over that with the uniform feedback allocation. Index Terms-Non-orthogonal multiple access (NOMA), multiple-input multiple-output (MIMO), channel state information at transmitter (CSIT), random vector quantization (RVQ), zeroforcing, beamforming, feedback.

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Lens-Based Millimeter Wave Reconfigurable Antenna NOMA

Cited by 13 publications

References 17 publications

Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array

Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array

Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems

On Optimizing Feedback-Rate Allocation for Downlink MIMO-NOMA With Quantized CSIT

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