Jun 2026· Internet Technology Letters· Vol 9· 0 citations· 15 references
TL;DR
Evaluation scenarios demonstrate that the enhanced MU‐MIMO design implements significantly better than standard approaches, particularly when 5G users are numerous, showing that the proposed approach is a suitable solution to address upcoming challenges in highly susceptible wireless communication environments.
Abstract
Every day, more and more people are using 5G wireless networks. They also need to be spectrally efficient and fast, reliable communicators. MU‐MIMO technology improves spectral efficiency and network capacity by enabling simultaneous transmission and reception for multiple users over shared frequency resources, thereby enhancing overall system performance in dense 5G environments. This allows users who have the same used frequency resources to transmit and receive simultaneously over there. The MU‐MIMO scheme, however, has a defect of cross‐user interference and inefficient use of resource that is it supports for a limited number of users; To tackle the above mentioned problems, this research proposed a novel MU‐MIMO framework with a robust beamformer together with adaptive user clustering and intelligent infrastructure resource allocation strategies. In varying network conditions, it utilizes optimization‐driven solutions to enable responses that open channels by decreasing interference. To that end, we formulate a hybrid optimization problem with the constraints of channel state information (CSI) and traffic requirements for joint optimization of precoding matrices and user scheduling options. The performance of the proposed system is evaluated in terms of certain key performance indicators (KPIs), which include throughput, spectral efficiency, signal‐to‐interference‐plus‐noise ratio, and energy efficiency. Evaluation scenarios demonstrate that the enhanced MU‐MIMO design implements significantly better than standard approaches, particularly when 5G users are numerous, showing that the proposed approach is a suitable solution to address upcoming challenges in highly susceptible wireless communication environments.
Simulation results show that user-clustering offers better connectivity and scheduling performance than the case where no clustering is applied, and NOMA is proposed to be applied among all users to boost resource sharing.
Z. Al-Abbasi· Wireless personal communicat...· 0 citations
The simulation results reveal that the proposed HC-DA-UA framework always outperforms the existing counterparts in terms of sum-rate, whilst substantially decreasing the computational complexity and signalling overhead, thus it is an efficient and scalable solution for next-generation hardware-impaired distributed wireless communication networks.
P. Poojitha, Dr. D. Karunakar Reddy· International Journal for Re...· 0 citations
Comparison shows that, under the evaluated DeepMIMO-based scenarios, the examined assignment-based methods exhibit different trade-offs in throughput, energy-consumption-related performance, bandwidth utilization, and adaptability to varying user demands, offering useful insights for 5G MIMO resource allocation studies.
Nikolaos Prodromos, Damianos Diasakos, V. Kokkinos et al.· Wireless personal communicat...· 0 citations
Wireless access technology is a key area of research since 6G wireless networks are anticipated to enable immersive communication, enormous IoT, intelligent sensing, and ubiquitous coverage. Utilizing the method of literature review, this paper examines Massive Multiple-Input Multiple-Output (Massive MIMO) and Non-Orthogonal Multiple Access (NOMA) as two complementary access technologies for 6G wireless networks and compares their roles in the spatial and power domains. The review finds that Massive MIMO improves spectrum efficiency, system capacity, and link reliability through large antenna arrays, beamforming, and spatial multiplexing, while NOMA increases access density and edge-user fairness through power-domain multiplexing and successive interference cancellation. Their convergence can better support high-capacity 6G access, but it also introduces asynchronous interference, channel state information overhead, and high-frequency coherence challenges. By connecting these challenges with Radio Access Network digital twins, AI-assisted scheduling, and integrated sensing and communication, the paper clarifies a practical research path for Massive MIMO-NOMA convergence in future 6G networks.
Yijiao Liu· Applied and Computational En...· 0 citations
Massive Multiple Input Multiple Output (M-MIMO) technology plays an important role in Fifth-Generation (5G) and beyond communication systems. It provides more benefits from enhanced Spectral Efficiency (SE) to improve energy efficiency and more consistency. These advantages are possible with accurate Channel State Information (CSI) present at the Base Station (BS). Verifying accurate CSI is difficult because of the required size of the coherence interval and the resulting limitations on pilot sequence length. So, Pilot Contamination (PC) is introduced when reusing the pilot sequences in nearby cells, which delays the SE enhancement. PC is presented as a bottleneck that limits the achievable throughput of multi-cell massive MIMO systems. In this work, a method for assigning pilot signals and improving pilot sequences is proposed using a Dynamic Attention-based Adaptive Autoformer (DA3) to reduce the effects of PC and increase the system's SE and throughput. The DA3-based Fractional Pilot Reuse (FPR) model classifies users as cell-center or cell-edge based on their Signal-to-Interference-plus-Noise Ratios (SINRs) values. Cell-edge users having lower SINR assign orthogonal pilots to reduce inter-cell interference, while cell-center users with higher SINR reuse the same pilots across different cells to enhance SE and throughput. The DA3 parameters, distance threshold, pilot reuse factor, and pilot allocation are optimized using the Secant Optimization Algorithm (SOA), which helps to increase the SE and throughput in the MIMO system. The developed SOA achieves near-optimal performance with lower computational complexity, thus making it highly suitable for interference management and eliminating the PC issues. The performance of the proposed model is tested with the classical pilot resource allocation methods to confirm its effectiveness.
Swathi Jallu, K. Raju· International Conference Com...· 0 citations
With the increasing demand for efficient wireless communication services, researchers are actively seeking innovative solutions to optimize spectrum utilization. Two promising technologies, cognitive radio and non-orthogonal multiple access (CR-NOMA), have emerged as key enablers for next-generation wireless communication. By harnessing the available radio frequency spectrum, devices can cooperatively connect and communicate more efficiently, while also gathering energy to support green communication.
This study investigates the uplink simultaneous wireless power and information transfer (SWIPT) using a CR-NOMA system over Rayleigh fading channel, focusing on energy harvesting at the secondary transmitter (ST) as a cooperation node. Here, primary/secondary receivers (PR/SR) communicate with the ST, during first phase, which then utilizes the harvested power to transmit the primary data to the primary transmitter. This paper enhances the proposed system cell-edge user performance and derives analytical frameworks for outage probability, throughput, and ergodic capacity of PR, SR, respectively. Additionally, our results determine the optimal power allocation scheme to enhance the performance of PR/SR signals.