User Scheduling in Multi-User MIMO Systems with Buffer Counting

2012 ◽  
Vol 461 ◽  
pp. 62-66
Author(s):  
Juan Hang ◽  
Feng She
Keyword(s):  
Mimo Systems ◽  
Scheduling Algorithm ◽  
Queuing System ◽  
User Scheduling ◽  
Channel State ◽  
Data Packets ◽  
Simulation Results

This paper studies the user scheduling in MIMO systems with queue control. We assume the data packets are buffered at the transmitter. By modeling the channel as a queuing system, the property of queue control is analyzed. Then, user scheduling algorithm with consideration of queue state and channel state together is also investigated. Simulation results show that queue control can achieve fairness and keep stability among users

Vector Quantization Multi-User Scheduling in Broadcast Channel

2012 ◽  
Vol 461 ◽  
pp. 53-57
Author(s):  
Juan Hang ◽  
Feng She
Keyword(s):  
Vector Quantization ◽  
Mimo Systems ◽  
Scheduling Algorithm ◽  
Low Complexity ◽  
Mimo Channel ◽  
User Selection ◽  
User Scheduling ◽  
Channel State ◽  
Lower Complexity ◽  
Sum Rate

This paper deals with the research on user scheduling algorithm in downlink MIMO systems with limited feedback of channel state information (CSI). In this paper, we use vector quantization to simplify the procedure of user selection. By quantizing MIMO channel into several un-overlapped channel regions, we can get semi-orthogonal region sets with predefined threshold. Then, based on the semi-orthogonal region sets, we present a low complexity user scheduling algorithm. Simulation results show that the achieved sum rate by the presented algorithm can achieve nearly optimal sum rate while with much lower complexity than that of the existing algorithms

scholarly journals A low complexity user scheduling algorithm for uplink multiuser MIMO systems

2008 ◽  
Vol 7 (7) ◽  
pp. 2486-2491 ◽  
Author(s):  
Yangyang Zhang ◽  
Chunlin Ji ◽  
Yi Liu ◽  
Wasim Malik ◽  
Dominic O'Brien ◽  
...  
Keyword(s):  
Mimo Systems ◽  
Scheduling Algorithm ◽  
Low Complexity ◽  
User Scheduling ◽  
Multiuser Mimo ◽  
Multiuser Mimo Systems

scholarly journals Hybrid Precoding Algorithm for Millimeter-Wave Massive MIMO Systems with Subconnection Structures

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xue Zhang ◽  
Feng Zhao
Keyword(s):  
Channel State Information ◽  
Massive Mimo ◽  
Optimization Problem ◽  
Mimo Systems ◽  
High Energy ◽  
Channel State ◽  
State Information ◽  
Hybrid Precoding ◽  
Precoding Matrix ◽  
Simulation Results

In mmWave massive MIMO systems, traditional digital precoding is difficult to be implemented because of the high cost and energy consumption of RF chains. Fortunately, the hybrid precoding which combines digital precoding and analog precoding not only solves this problem successfully, but also improves the performance of the system effectively. However, due to the constant mode constraint introduced by the phase shifter in the analog domain, it is difficult to solve the hybrid precoding directly. There is a solution which divides the total optimization problem into two stages to solve, that is, first fix the digital precoding matrix, solve the analog precoding matrix, and then optimize the digital precoding matrix according to the obtained analog precoding matrix. In this paper, a high energy-efficient hybrid precoding scheme is proposed for the subconnection structure. In the first stage, the optimization problem can be decomposed into a series of subproblems by means of the independent submatrix structure of the analog precoding matrix. When the optimized analog precoding matrix is obtained, the digital precoding matrix can be solved by the minimum mean error (MMSE). Finally, the digital precoding matrix is normalized to satisfy the constraint conditions. The simulation results demonstrate that the performance of the proposed algorithm is close to that of fully digital precoding based on subconnection structure and better than that of the existing algorithms. In addition, this paper presents the simulation analysis of the algorithm performance under imperfect channel state information. Simulation results show that when the estimation accuracy of channel state information is 0.8, the spectral efficiency of the proposed algorithm can already be maintained at a good level.

Improved Port Modulation for Multiuser Massive MIMO Systems

2015 ◽  
Vol 7 (4) ◽  
pp. 15-25
Author(s):  
Yujiao He ◽  
Jianing Zhao ◽  
Lijuan Tao ◽  
Fuyu Hou ◽  
Wei Jia
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Channel State ◽  
State Information ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results ◽  
Csi Feedback

This paper proposes an improved port modulation (PM) method which can be applied to the multiuser (MU) massive multiple-input multiple-output (MIMO) system. The precoding process of the improved PM can be divided into two parts: port precoding and MU precoding. The methods of the precoding and detection are provided and the performance of the proposed improved PM is simulated and analyzed. Simulation results show that the proposed improved PM system can achieve a satisfying bit error rate (BER) performance with a cutdown channel state information (CSI) feedback.

A Low Complexity Tree-Structure Based User Scheduling Algorithm for Up-Link Multi-User MIMO Systems

2007 ◽  
Vol E90-B (6) ◽  
pp. 1415-1423 ◽  
Author(s):  
J. WANG ◽  
K. ARAKI ◽  
Z. ZHANG ◽  
Y. CHANG ◽  
H. ZHU ◽  
...  
Keyword(s):  
Mimo Systems ◽  
Scheduling Algorithm ◽  
Low Complexity ◽  
Tree Structure ◽  
User Scheduling

scholarly journals Multi-User Scheduling for 6G V2X Ultra-Massive MIMO System

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6742
Author(s):  
Shibiao He ◽  
Jieru Du ◽  
Yong Liao
Keyword(s):  
High Speed ◽  
Mimo Systems ◽  
Mimo System ◽  
Scheduling Algorithm ◽  
Link Quality ◽  
Channel Gain ◽  
User Scheduling ◽  
Channel Correlation ◽  
Automatic Driving ◽  
Channel Quality

6G vehicle-to-everything (V2X) communication will be combined with vehicle automatic driving technology and play an important role in automatic driving. However, in 6G V2X systems, vehicle users have the characteristics of high-speed movement. Therefore, how to provide stable and reliable wireless link quality and improve channel gain has become a problem that must be solved. To solve this problem, a new multi-user scheduling algorithm based on block diagonalization (BD) precoding for 6G ultra-massive multiple-input multiple-output (MIMO) systems is proposed in this paper. The algorithm takes advantage of the sensitive nature of BD precoding to channel correlation, uses the Pearson coefficient after matrix vectorization to measure the channel correlation between users, defines the scheduling factor to measure the channel quality according to the user noise enhancement factor, and jointly considers the influence of the correlation between user channels and channel quality, ensuring the selection of high-quality channels while minimizing channel correlation. Simulation results show that compared with the multi-user scheduling algorithm based on subspace correlation, condition number, and geometric angle, the proposed algorithm can obtain higher user channel gain, effectively reduce the system bit error rate, and can be applied to 6G V2X communication.

Sign in / Sign up

Export Citation Format

Share Document