Search results for "channel quality"

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Robust Adaptive Modulation and Coding (AMC) selection in LTE systems using reinforcement learning

2014

Adaptive Modulation and Coding (AMC) in LTE networks is commonly employed to improve system throughput by ensuring more reliable transmissions. Most of existing AMC methods select the modulation and coding scheme (MCS) using pre-computed mappings between MCS indexes and channel quality indicator (CQI) feedbacks that are periodically sent by the receivers. However, the effectiveness of this approach heavily depends on the assumed channel model. In addition CQI feedback delays may cause throughput losses. In this paper we design a new AMC scheme that exploits a reinforcement learning algorithm to adjust at run-time the MCS selection rules based on the knowledge of the effect of previous AMC d…

Engineeringreinforcement learningSettore ING-INF/03 - Telecomunicazionibusiness.industryLink adaptationchannel qualityChannel modelsLTE channel quality adaptive modulation and coding (AMC) reinforcement learning performance evaluation.performance evaluationLTERobustness (computer science)Electronic engineeringReinforcement learningDecision processbusinessReinforcement learning algorithmCoding (social sciences)adaptive modulation and coding (AMC)
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