• Corpus ID: 238744364

Reinforcement Learning for Standards Design

@article{Kasi2021ReinforcementLF,
  title={Reinforcement Learning for Standards Design},
  author={Shahrukh Khan Kasi and Sayandev Mukherjee and Lin Cheng and Bernardo A. Huberman},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.06909}
}
Communications standards are designed via committees of humans holding repeated meetings over months or even years until consensus is achieved. This includes decisions regarding the modulation and coding schemes to be supported over an air interface. We propose a way to “automate” the selection of the set of modulation and coding schemes to be supported over a given air interface and thereby streamline both the standards design process and the ease of extending the standard to support new… 

Figures from this paper

References

SHOWING 1-6 OF 6 REFERENCES
Resource Allocation and Link Adaptation in LTE and LTE Advanced: A Tutorial
Resource allocation and link adaptation in Long-Term Evolution (LTE) and LTE Advanced are discussed with focus on the location and formatting of the pertinent reference and control signals, as well
Analytical Modeling of Heterogeneous Cellular Networks: Geometry, Coverage, and Capacity
This self-contained introduction shows how stochastic geometry techniques can be used for studying the behavior of heterogeneous cellular networks (HCNs). The unified treatment of analytic results
Adaptive Transceivers for Mobile Communications
  • T. Tiong
  • Computer Science
    2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology
  • 2014
TLDR
An integrated adaptive modulation, coding and precoding for 4 X 4 broadband wireless MIMO-OFDM system that employs channelaware scheduling techniques that can dynamically change system parameters based on channel conditions and achieve high spectral efficiencies without increasing bit error rate in noisy channels is proposed.
Power Saving Scheduling Scheme for Internet of Things over LTE/LTE-Advanced Networks
TLDR
The proposed fuzzy-based power saving scheduling scheme for IoT over the LTE/LTE-Advanced networks can meet the requirements of the DRX cycle and scheduling latency and can save about half of energy consumption for IoT devices compared to conventional approaches.
LTE MCS Cell Range and Downlink Throughput Measurement and Analysis in Urban Area
The measurement in this study was conducted using a TEMS Pocket engineering model test phone, through which the cell coverage and cell capacity of LTE were analyzed using the KPI parameters of packet
Conveying MCS and TB size via PDCCH
  • 3GPP TSG-RAN WG1 #52bis R1-081483