Energy-efficiency oriented traffic offloading in wireless networks: A brief survey and a learning approach for heterogeneous cellular networks
This paper first provides a brief survey on existing traffic offloading techniques in wireless
networks. Particularly as a case study, we put forward an online reinforcement learning …
networks. Particularly as a case study, we put forward an online reinforcement learning …
Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues
In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …
host to observe, learn, and respond to its complex and dynamic operating environment in an …
Femtocells: Past, present, and future
Femtocells, despite their name, pose a potentially large disruption to the carefully planned
cellular networks that now connect a majority of the planet's citizens to the Internet and with …
cellular networks that now connect a majority of the planet's citizens to the Internet and with …
Price-based resource allocation for spectrum-sharing femtocell networks: A stackelberg game approach
This paper investigates price-based resource allocation strategies for two-tier femtocell
networks, in which a central macrocell is underlaid with distributed femtocells, all operating …
networks, in which a central macrocell is underlaid with distributed femtocells, all operating …
A survey on applications of model-free strategy learning in cognitive wireless networks
The framework of cognitive wireless networks is expected to endow the wireless devices
with the cognition-intelligence ability with which they can efficiently learn and respond to the …
with the cognition-intelligence ability with which they can efficiently learn and respond to the …
Switch-on/off policies for energy harvesting small cells through distributed Q-learning
The massive deployment of small cells (SCs) represents one of the most promising solutions
adopted by 5G cellular networks to meet the foreseen huge traffic demand. The high number …
adopted by 5G cellular networks to meet the foreseen huge traffic demand. The high number …
Improving energy efficiency in green femtocell networks: A hierarchical reinforcement learning framework
This paper investigates energy efficiency for the two-tier femtocell networks through
combining game theory and stochastic learning. With the Stackelberg game formulation, a …
combining game theory and stochastic learning. With the Stackelberg game formulation, a …
Apprenticeship learning based spectrum decision in multi-channel wireless mesh networks with multi-beam antennas
We propose a novel spectrum decision scheme (ie, channel selection and handoff) for
wireless mesh networks (WMN) which use multiple channels and nodes equipped with multi …
wireless mesh networks (WMN) which use multiple channels and nodes equipped with multi …
Superanalysis of optimum combining with application to femtocell networks
A femtocell technology-towards the deployment of small-cell networks-is a key enabler for
improving indoor coverage and throughput per network area at a low cost in future wireless …
improving indoor coverage and throughput per network area at a low cost in future wireless …
Transfer learning and cooperation management: balancing the quality of service and information exchange overhead in cognitive radio networks
This paper introduces and studies a novel solution of transfer learning applied to spectrum
management in cognitive radio networks in order to improve the Quality of Service (QoS) …
management in cognitive radio networks in order to improve the Quality of Service (QoS) …