Throughput Performance Improvement Using Complexity-Reduced User Scheduling Algorithm in Uplink Multi-User MIMO/SDM Systems

2008 ◽  
Vol E91-B (6) ◽  
pp. 1724-1733
Author(s):  
M. MIKAMI ◽  
T. FUJII
Keyword(s):  
Performance Improvement ◽  
Scheduling Algorithm ◽  
User Scheduling ◽  
Throughput Performance

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.

A Delay-throughput Performance Improvement to the Pi- Persistent Protocol

2002 ◽  
Vol 2 (3) ◽  
pp. 390-399 ◽  
Author(s):  
Nurul Sarkar . ◽  
Krzysztof Pawlikowsk .
Keyword(s):  
Performance Improvement ◽  
Throughput Performance

Unitary Beamforming Multi-User MIMO System with Efficient User Scheduling Algorithm

2010 ◽  
Vol E93-B (7) ◽  
pp. 1965-1968 ◽  
Author(s):  
Illsoo SOHN ◽  
Joonil CHOI ◽  
Byong OK LEE ◽  
Kwang-Bok LEE
Keyword(s):  
Mimo System ◽  
Scheduling Algorithm ◽  
User Scheduling

A Novel User Scheduling Algorithm in Inhomogeneous Networks

2008 ◽  
Vol E91-B (3) ◽  
pp. 918-921
Author(s):  
H. SUN ◽  
X. WANG ◽  
X. YOU
Keyword(s):  
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

scholarly journals Multiuser Scheduling In 3GPP LTE-A Uplink Non-Stand-Alone Cellular Network With Virtual MIMO

2021 ◽  
Author(s):  
Shweta Kukade ◽  
M. S. Sutaone ◽  
R. A. Patil
Keyword(s):  
Spectral Efficiency ◽  
Cellular Network ◽  
Mimo System ◽  
Scheduling Algorithm ◽  
High Volume ◽  
User Scheduling ◽  
Time Frequency ◽  
3Gpp Lte ◽  
Effective Manner ◽  
Multiuser Scheduling

Abstract New 5G architecture gives access to New Radio (NR) with co-exist LTE. 3GPP LTE-A transition towards NR is a wireless technology that is widely employed in the cellular mobile network to support significantly high volume traffic. In this paper, we propose the best N-subset reduction and a modified RME algorithm (BNSRME) as an uplink multiuser scheduler. It is responsible for allocating resources among the active users in the most effective manner. The N-subset reduction method selects the best chunk of continuous resource blocks from the available system bandwidth. Users are assigned chunks based on channel-dependent selection and utility function. The BNSRME scheduling algorithm aims to optimize performance, spectral efficiency, and allows multiuser scheduling where multiple active users are allocated the same time-frequency resources. We consider the threshold cap SNRT to improve sensitivity quality for satisfactory users. The approach is MU scheduling which will be the most commonly deployed in non-stand-alone (NSA) 5G uplink cellular network. The result shows that the system spectral efficiency improves by 32.55 % by using the proposed multiuser algorithm compared to single user scheduling in an uplink. It has been shown that its performance can be further improved by using the MU-MIMO system.

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