Multi-Beam NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Liu, Penglu; Li, Yong; Cheng, Wei; Xiang, Gao; Zhang, Wenjie

doi:10.1109/tvt.2020.3014090

Cited by 16 publications

(9 citation statements)

References 40 publications

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“…For the 2D channel model, we assume that the BS and the IRS are equipped with uniform linear array (ULA). Based on the sparsity of mmWave channel, which makes it reasonable to perform beam selection, we adopt the Saleh-Valenzuela model [13,16,23] as the mmWave channel model. Then, without the aid of IRS, the spatial CSI vector of direct-link for the k-th user can be given as…”

Section: A 2d Channel Modelmentioning

confidence: 99%

“…In OP9, p denotes the power allocation vector containing the power allocation factors for all users, i.e., p g,j for 1 ≤ g ≤ |G|, 1 ≤ j ≤ |G g |. Since the SIC constraint as shown in (52b) can be directly rewritten as a convex constraint [23], the problem OP9 is a convex optimization problem, which is easy to be solved. Given the optimal solution p, the digital precoding vector w g,j as shown in ( 27) can be expressed as w g,j =ŵ g,j √ p g,j .…”

Section: Initialization Of Feasible Solutionmentioning

confidence: 99%

“…About the channel model, the channel for the user-IRS, user-BS and IRS-BS are assumed to contain four components: LoS component and 3 NLoS components. As stated in [19,23], the channel parameters conform to the conditions as follows: α 0 ∼ CN (0,1), α l ∼ CN (0,0.1) for 1 ≤ l ≤ 3, θ 0 and θ l for 1 ≤ l ≤ 3 follow the uniform distribution within [−0.5, 0.5].…”

Section: Simulationsmentioning

confidence: 99%

“…To support a larger number of groups of users and reduce the SIC complexity, based on reconfigurable antenna multiple access (RAMA) [21], the reconfigurable antenna NOMA (RA-NOMA) is proposed in [22]. Different from the single-beam beamspace NOMA scheme, a multi-beam NOMA using the mmWave massive MIMO with lens antenna array is proposed in [23] to reduce the total power consumption, where the joint user grouping and power allocation optimization problem is solved.…”

mentioning

confidence: 99%

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Intelligent Reflecting Surface Aided NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Liu

Cheng

et al. 2021

IEEE Trans. Veh. Technol.

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In this paper, we propose a downlink intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) for millimeter-wave (mmWave) massive MIMO with lens antenna array, i.e., IRS-aided mmWave beamspace NOMA, where the single-antenna users without direct-link but connected to the base station (BS) with the aid of the IRS are grouped as one NOMA group. Considering the power leakage problem in beamspace channel and the per-antenna power constraint, we propose two multi-beam selection strategies for the BS-IRS link under two channel models, i.e., 2-dimension (2D) channel model and 3-dimension (3D) channel model, respectively, where two corresponding RF chain configuration strategies are designed, respectively. Then, we formulate and solve the optimization problem for maximizing the weighted sum rate by jointly optimizing the active beamforming at the BS and the passive beamforming at the IRS, where we propose the alternating optimization (AO) method to solve the above joint optimization problem. Especially, different from the stochastic method, based on the beam-splitting technique, we propose the method to initialize the feasible solution for the proposed AO method, where the transmit power minimization problem is formulated and solved. Through simulations, the weighted sum rate performance of the proposed IRS-aided mmWave beamspace NOMA is verified.

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Section: A 2d Channel Modelmentioning

confidence: 99%

Section: Initialization Of Feasible Solutionmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Intelligent Reflecting Surface Aided NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Liu

Cheng

et al. 2021

IEEE Trans. Veh. Technol.

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“…In addition, mmWave channels are sparse, and each beam represents an antenna in the DLA system 23 . Therefore, only a small number of antennas can achieve the performance of the full‐digital mmWave massive MIMO system, which significantly reduces the number of RF chains as well as the power consumption 24 . However, the large number of antennas in the DLA array usually results in high‐complicated antenna or beam selection, therefore it is necessary to design a reasonable antenna selection scheme based on the CSI DLA array.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the quality‐to‐power ratio of scalable video code video transmission in millimeter‐wave massive multiple‐input multiple‐output systems

Zhang

Zhao

Cheng

et al. 2021

Trans Emerging Tel Tech

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Consider a millimeter‐wave (mmWave) massive multiple‐input multiple‐output (MIMO) system, where a base station (BS) relying on discrete lens antenna (DLA) array transmits scalable video code (SVC) video to multiple single‐antenna vehicles. Taking into account both the video quality for vehicles and the communication resource consumption of BS, we define a new metric given by the quality of received video to the power consumption ratio (QPR) in order to measure the system efficiency. The objective of this article is to maximize the minimum QPR among vehicles by designing the antenna selection and power allocation scheme, while ensuring the constraints of total transmit power and DLA array structure. Due to the piecewise form of the video quality function, it is intractable to solve the formulated problem, which is therefore decomposed into antenna selection and power allocation subproblems. A maximum equivalent channel gain (MECG) algorithm and an iteration algorithm are proposed for antenna selection subproblem with different complexities, respectively; while an optimal power allocation (OPA) algorithm is designed by analyzing three cases of transmit power constraints. Simulation results indicate that the proposed MECG algorithm has moderate performance with low‐complexity, while the OPA algorithm can help to achieve the optimal QPR in contrast to other algorithms.

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Concurrent multi-beam transmissions for reliable communication in millimeter-wave networks

Liu

Tang²

2022

Computer Communications

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Multi-Beam NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Cited by 16 publications

References 40 publications

Intelligent Reflecting Surface Aided NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Intelligent Reflecting Surface Aided NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

Optimization of the quality‐to‐power ratio of scalable video code video transmission in millimeter‐wave massive multiple‐input multiple‐output systems

Concurrent multi-beam transmissions for reliable communication in millimeter-wave networks

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