Tree-Structured User Scheduling Algorithm and Its Implementation in Multi-User MIMO Systems

2008 ◽  
Author(s):  
Junyi Wang ◽  
Jiang Liu ◽  
Takuro Sato ◽  
Athanasios Vasilakos ◽  
Kiyomichi Araki
Keyword(s):  
Mimo Systems ◽  
Scheduling Algorithm ◽  
User Scheduling

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

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

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.

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

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

Performance Analysis of Low Complexity Multiuser Scheduling Algorithms in MIMO System

2013 ◽  
Vol 392 ◽  
pp. 867-871
Author(s):  
Ming Xia Lv ◽  
Yan Kun Lai ◽  
Dong Tang
Keyword(s):  
Mimo System ◽  
Scheduling Algorithm ◽  
Low Complexity ◽  
Base Station ◽  
User Scheduling ◽  
Sum Capacity ◽  
Multiuser Scheduling ◽  
The Common ◽  
The Cost ◽  
Selection Algorithms

The total throughput of the communication system can be maximized by allocating the common radio resource to the user or the user group having the best channel quality at a given time and the multiuser diversity gain can be obtained when multiple users share the same channel at one time. The object to select the users is to select the users with the maximum sum capacity. As for a scheduling algorithm, exhaustive algorithm can get the largest capability of the system by multi-user scheduling. However, this algorithm is quite complex hence the cost of operation to a base station has substantial increased. We compare the multiuser performance of two fast user selection algorithms with low complexity in MIMO-MRC systems with co-channel interferences. From the simulation results, these two algorithms not only decrease the computational complexity of the scheduling algorithm but also retain large capability of the MIMO system.

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