Channel prediction-based user selection algorithm for multiuser environments

In this paper, we propose a channel prediction-based user selection algorithm for a single-cell wireless network with multiuser environments. The proposed algorithm focuses on mitigating the degradation of performance due to a feedback process. In particular, by using the Naive Bayes (NB) classifier...

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Bibliographic Details
Main Authors: Jae Seong Jang, Han Young Yim, Kwang Bok Lee
Format: Conference Proceeding
Language:English
Subjects:
Delay
Downlink
Fading
Gain
Niobium
Prediction algorithms
Simulation
Online Access:Request full text
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Summary:In this paper, we propose a channel prediction-based user selection algorithm for a single-cell wireless network with multiuser environments. The proposed algorithm focuses on mitigating the degradation of performance due to a feedback process. In particular, by using the Naive Bayes (NB) classifier, the proposed algorithm selects the user who is expected to have the biggest channel gain after feedback delay. Simulation results show that the proposed algorithm mitigates a performance decrease of achievable rates.
ISSN:2162-1233
DOI:10.1109/ICTC.2010.5674667