User scheduling algorithm for mmWave FDMA Massive MU-MIMO system with hybrid beamforming

Jiang, Jing; Kong, Deting; Lu, Guangyue; Wang, Junxuan; Yang, Wujun

doi:10.1145/3015166.3015172

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second solution is to use scheduling algorithms that are responsible to reduce the multipath effect and to elect the best QoS signal with best communication link to deal with [9]. This process reduces the computational complexity needed for the multiplexing techniques and also makes the use of spectrum available more efficiency [10]. The question here is how to choose the best scheduling algorithm in order to enhance the throughput of the system?…”

Section: Introductionmentioning

confidence: 99%

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Mahdi

Al-Bander

Alwan

et al. 2021

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so the need for high-speed wireless networks to serve the high demand of the wireless application becomes essential for any wireless network design. The use of web browsing, online gaming, and on-time data exchange like video calls as an example means that users need a high data rate and fewer error communication links. To satisfy this, increasing the bandwidth available for each network will enhance the throughput of the communication, but the bandwidth available is a limited resource which means that thinking about techniques to be used to increase the throughput of the network is very important. One of the techniques used is the spectrum sharing between the available networks, but the problem here is when there is no available channel to connect with. This encourages researchers to think about using scheduling as a technique to serve the high capacity on the network. Studying scheduling techniques depends on the Quality-of-Service (QoS) of the network, so the throughput performance is the metric of this paper. In this paper, an improved Best-CQI scheduling algorithm is proposed to enhance the throughput of the network. The proposed algorithm was compared with three user scheduling algorithms to evaluate the throughput performance which are Round Robin (RR), Proportional Fair (PF), and Best-CQI algorithms. The study is performed under Line-of-Sight (LoS) link at carrier frequency 2.6 GHz to satisfy the Vehicular Long Term Evolution (LTE-V) with the high-speed scenario. The simulation results show that the proposed algorithm outperforms the throughput performance of the other algorithms.

show abstract

Section: Introductionmentioning

confidence: 99%

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Mahdi

Al-Bander

Alwan

et al. 2021

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…At first, an analog precoding algorithm is proposed to maximize the power of the received signal for the objective user [30][31][32]. Further, a digital precoder will be designed to maximize the EE of the system.…”

mentioning

confidence: 99%

Energy-Efficient Hybrid Precoding Scheme Based on Antenna Selection Technology in Massive Multiple-Input Multiple-Output Systems

Ding

Jiang

2019

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

Hybrid precoding is a promising technology for massive multiple-input multiple-output (MIMO) systems. It can reduce the number of radio frequency (RF) chains. However, the power consumption is still very high owing to the large-scale antenna array. In this paper, we propose an energy-efficient precoding scheme based on antenna selection technology. The precoding scheme greatly increases the energy efficiency (EE) of the system. In the first step, we derive an exact closed-form expression of EE. Meanwhile, we further study the relationship between the number of transmit antennas and EE on the basis of the exact closed-form expression of EE. We prove that there exists an optimal value. When the number of transmit antennas equals to the value, the EE of the system can reach the maximum by a proper hybrid precoding scheme. Then, we propose an antenna selection algorithm to select antennas from the transmit antennas. And the number of selected antennas equals to the optimal value. Subsequently, we design the analog precoder based on a codebook to maximize the equivalent channel gain. At last, we further improve the EE by baseband digital precoding. The precoding algorithm we proposed offers a compromise between spectral efficiency (SE) and EE in millimeter wave (mmWave) massive MIMO systems. Finally, simulation results validate our theoretical analysis and show that a substantial EE gain can be obtained over the precoding scheme we proposed without large performance loss.

show abstract

Hybrid Beamforming in 5G mmWave Networks: A Full-Stack Perspective

Gómez-Cuba

Zugno

Kim

et al. 2022

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

User scheduling algorithm for mmWave FDMA Massive MU-MIMO system with hybrid beamforming

Cited by 3 publications

References 9 publications

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Energy-Efficient Hybrid Precoding Scheme Based on Antenna Selection Technology in Massive Multiple-Input Multiple-Output Systems

Hybrid Beamforming in 5G mmWave Networks: A Full-Stack Perspective

Contact Info

Product

Resources

About