A flexible framework based on reinforcement learning for adaptive modulation and coding in OFDM wireless systems

2012 ◽  
Author(s):  
Joao P. Leite ◽  
Paulo Henrique P. de Carvalho ◽  
Robson D. Vieira
Keyword(s):  
Reinforcement Learning ◽  
Adaptive Modulation ◽  
Wireless Systems ◽  
Adaptive Modulation And Coding ◽  
Flexible Framework

scholarly journals Adaptive Modulation and Coding Based on Reinforcement Learning for 5G Networks

2019 ◽  
Author(s):  
Mateus P. Mota ◽  
Daniel C. Araujo ◽  
Francisco Hugo Costa Neto ◽  
Andre L. F. de Almeida ◽  
F. Rodrigo Cavalcanti
Keyword(s):  
Reinforcement Learning ◽  
Adaptive Modulation ◽  
Adaptive Modulation And Coding ◽  
5G Networks

Performance of Outer-Loop Control for Adaptive Modulation and Coding Based on Mutual Information in OFDM MIMO SDM

2015 ◽  
Vol E98.B (8) ◽  
pp. 1506-1517 ◽  
Author(s):  
Teppei EBIHARA ◽  
Yasuhiro KUGE ◽  
Hidekazu TAOKA ◽  
Nobuhiko MIKI ◽  
Mamoru SAWAHASHI
Keyword(s):  
Mutual Information ◽  
Adaptive Modulation ◽  
Adaptive Modulation And Coding ◽  
Outer Loop ◽  
Loop Control

Enabling Things To Talk in Heterogeneous Self-Organizing Networks—An Exhaustive Critique For IOT

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 728-750
Author(s):  
Naeem Z Azeemi ◽  
Saira Khan ◽  
Sharmini Enoch ◽  
Riktesh Srivastava ◽  
Omar al Basheer ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Adaptive Modulation ◽  
Sustainable Growth ◽  
Adaptive Modulation And Coding ◽  
Network Architectures ◽  
Multiple Antenna ◽  
Multiple Access Schemes ◽  
Natural Outcome ◽  
Air Interfaces ◽  
The Internet Of Things

The superstructure network in the Internet of Things (IoT) is an emerging network targeted to enable an ecosystem of smart applications and services. It connectsphysical resources and peopletogether with software, hence contribute to sustainable growth, provided it combines and guarantees trustand security for people and businesses.  In this work we presented smart city viewpoint opt-in to the Firth Generation (5G) mobile networks. Both a framework and deployment are explored rigorously to assist and predicting robustness of IoT technologies and applications as a natural outcome of the Third Generation Partnership Project (3GPP) in general and LTE in particular. These technologies are compared on the basis of Air Interfaces and their Specifications i.e. Adaptive Modulation and Coding, Multiple Access Schemes and Multiple Antenna Techniques along with the evolution and comparison of the Network Architectures.

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