Research Article
A Massive MIMO User Selection Algorithm Based on Effective Capacity
@INPROCEEDINGS{10.1007/978-3-030-72795-6_24, author={Jing Huang and Lei Chen and Ping Cui and Kailiang Zhang and Yuan An}, title={A Massive MIMO User Selection Algorithm Based on Effective Capacity}, proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II}, proceedings_a={SIMUTOOLS PART 2}, year={2021}, month={4}, keywords={Multiple-input multiple-output systems Vehicular networks Quality of experience Wireless communication Spectral efficiency}, doi={10.1007/978-3-030-72795-6_24} }- Jing Huang
Lei Chen
Ping Cui
Kailiang Zhang
Yuan An
Year: 2021
A Massive MIMO User Selection Algorithm Based on Effective Capacity
SIMUTOOLS PART 2
Springer
DOI: 10.1007/978-3-030-72795-6_24
Abstract
In massive multiple-input multiple-output (MIMO) systems, to maximize spectral efficiency (SE), optimal scheduled user number for a time slot has been investigated. One of the important QoS index is the probability of delay violation, which depends on transmission stableness over a long period rather than the momentary transmission rate. We formulate the relationship between effective SE, QoS constraint, and scheduled user number as a continuous function through employing the effective capacity (EC) theory of wireless channels. Nonetheless, obtaining the definitive solution for optimal scheduled user number is still problematic and unfathomed. Therefore, in this paper, an approach to obtain the suboptimal scheduled user number is presented. Simulation results show that the number of selected users is close to the theoretical value.
