paper-with-me

홈 › Papers

User Grouping and Resource Allocation in Multiuser MIMO Systems under SWIPT

2024-12-03 · Javier Rubio, Antonio Pascual-Iserte

This paper considers a broadcast multiple-input multiple-output (MIMO) network with multiple users and simultaneous wireless information and power transfer (SWIPT). In this scenario, it is assumed that some users are able to harvest power from radio frequency (RF) signals to recharge batteries through wireless power transfer from the transmitter, while others are served simultaneously with data transmission. The criterion driving the optimization and design of the system is based on the weighted sum rate for the users being served with data. At the same time, constraints stating minimum per-user harvested powers are included in the optimization problem. This paper derives the structure of the optimal transmit covariance matrices in the case where both types of users are present simultaneously in the network, particularizing the results to the cases where either only harvesting nodes or only information users are to be served. The tradeoff between the achieved weighted sum rate and the powers harvested by the user terminals is analyzed and evaluated using the rate-power (R-P) region. Finally, we propose a two-stage user grouping mechanism that decides which users should be scheduled to receive information and which users should be configured to harvest energy from the RF signals in each particular scheduling period, this being one of the main contributions of this paper.

📄 PDF Abstract BibTeX arXiv:2412.02561

Code (0)

등록된 구현이 없습니다.

Tasks

Scheduling

Similar Papers 제목 키워드 기반

On the performance of some new Multiuser FSO-MIMO Communication Systems

2019-08-25

The practical implementation of maximum likelihood detection is limited by its high complexity as well as requiring perfect channel state information. Although conventional blind detection techniques reduce complexity, t…

User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels

2024-09-18 · Alejandro de la Fuente, Giovanni Interdonato, Giuseppe Araniti

Massive multiple-input-multiple-output (MIMO) is unquestionably a key enabler of the fifth-generation (5G) technology for mobile systems, enabling to meet the high requirements of upcoming mobile broadband services. Phys…

Fairness

A Low Complexity Space-Frequency Multiuser Scheduling Algorithm

2018-03-20

This work presents a resource allocation algorithm in K-user, M-subcarrier and NT-antenna systems for on-line scheduling. To exploit temporal diversity and to reduce complexity, the ergodic sum rate is maximized instead …

DiversityScheduling

User Subgrouping in Multicast Massive MIMO over Spatially Correlated Rayleigh Fading Channels

2021-02-19 · Alejandro de la Fuente, Giovanni Interdonato, Giuseppe Araniti

Massive multiple-input-multiple-output (MaMIMO) multicasting has received significant attention over the last years. MaMIMO is a key enabler of 5G systems to achieve the extremely demanding data rates of upcoming service…

Fairness

Multiuser Resource Allocation for Semantic-Relay-Aided Text Transmissions

2023-11-12 · Zeyang Hu, Tianyu Liu, Changsheng You, Zhaohui Yang 외

Semantic communication (SemCom) is an emerging technology that extracts useful meaning from data and sends only relevant semantic information. Thus, it has the great potential to improve the spectrum efficiency of conven…

DecoderSemantic Communication