Fast Algorithm for Joint Unicast and Multicast Beamforming for Large-Scale Massive MIMO

Mohammadi, Shadi; Dong, Min; Shahbazpanahi, Shahram

doi:10.1109/tsp.2022.3218184

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…Mohammadi et al [ 35 ] propose the application of the Successive Convex Approximations (SCA) method to the Problem ( 3 ) and use the Alternating Direction Method of Multipliers (ADMM) on each SCA iteration, which is a relatively low-complexity state-of-the-art method for convex problems. Unfortunately, the resulting algorithm, which we refer to as SCA-ADMM, still has high complexity that depends on the convergence threshold as we show in Section 4 .…”

Section: Analyses Of Possible Solutions and Their Adaptation To Murllcmentioning

confidence: 99%

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Resource-Efficient Multicast URLLC Service in 5G Systems

Krasilov,

Lebedeva,

Yusupov

et al. 2024

Sensors

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Many emerging applications, such as factory automation, electric power distribution, and intelligent transportation systems, require multicast Ultra-Reliable Low-Latency Communications (mURLLC). Since 3GPP Release 17, 5G systems natively support multicast functionality, including multicast Hybrid Automatic Repeat Request and various feedback schemes. Although these features can be promising for mURLLC, the specifications and existing studies fall short in offering guidance on their efficient usage. This paper presents the first comprehensive system-level evaluation of mURLLC, leveraging insights from 3GPP specifications. It points out (i) how mURLLC differs from traditional multicast broadband wireless communications, and (ii) which approaches to provide mURLLC require changing the paradigm compared with the existing solutions. Finally, the paper provides recommendations on how to satisfy strict mURLLC requirements efficiently, i.e., with low channel resource consumption, which increases the capacity of 5G systems for mURLLC. Simulation results show that proper configuration of multicast mechanisms and the corresponding algorithms for mURLLC traffic can reduce resource consumption up to three times compared to the baseline solutions proposed for broadband multicast traffic, which significantly increases the system capacity.

show abstract

Section: Analyses Of Possible Solutions and Their Adaptation To Murllcmentioning

confidence: 99%

“…Let us start with an analysis of the SCA-ADMM algorithm. For this algorithm [ 35 ], we check different convergence thresholds

. We can see that the SINR difference for the SCA-ADMM algorithm reduces for a stricter convergence threshold

.…”

Section: Performance Evaluationmentioning

confidence: 99%

Resource-Efficient Multicast URLLC Service in 5G Systems

Krasilov,

Lebedeva,

Yusupov

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…In literature [18], an adaptation beamforming called method is addressed, the advantage of which is its satisfying performance in a time-varying environment without large computation. In literature [19], an efficient beamforming method called based is proposed for dealing with all kinds of complicated situation, which obtains better result with low complexity. An anti-array mutual coupling algorithm [20] for covariance matrix reconstruction is proposed, which only require the information of desired direction of the signals without requiring other prior information to achieve good anti-mutual coupling effect.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

Shi

Yan

Hou

et al. 2023

Preprint

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When the desired signal data exists in the array received data or the steering vector has a mismatch problem, the current traditional adaptive beamformers will suffer from the effect of the desired signal cancellation phenomenon, resulting in a sharp decline in performance. To address the occurrence of desired signal cancellation, an improved matrix projection-based efficient beamforming method is proposed. Firstly, based on spatial partitioning technology, a significant projection matrix for interference-plus-noise space (INS) is constructed. Secondly, using the constructed key projection matrix, the sample data covariance matrix is projected into the INS to achieve the goal of suppressing the desired signal data information. Finally, the weight data vector is calculated by Capon beamformer. The proposed algorithm does not require iterative search for the optimal solution, which has the advantage of a small amount of calculation. Simulation experiments have verified that the proposed method has significant advantages in suppressing the desired data signals. Especially when the desired data signal has a large power, the signal-to-interference-plus-noise ratio (SINR) of the proposed algorithm is better than that of the compared algorithms under the conditions of random directionality errors or local scattering errors between the desired signal and interference.

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Energy-Efficient Design in STAR-RIS Assisted Communication System with Antenna Selection

Zhang,

Lu,

et al. 2023

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

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Fast Algorithm for Joint Unicast and Multicast Beamforming for Large-Scale Massive MIMO

Cited by 7 publications

References 37 publications

Resource-Efficient Multicast URLLC Service in 5G Systems

Resource-Efficient Multicast URLLC Service in 5G Systems

A Novel Adaptive Beamforming Scheme for Array Signal Data Processing

Energy-Efficient Design in STAR-RIS Assisted Communication System with Antenna Selection

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