Name
Title | ||
|---|---|---|
Intelligent Dynamic Spectrum Access in Cellular Systems with Asymmetric Topologies and Non-Uniform Traffic Loads. |
Abstract | ||
|---|---|---|
This paper assesses the robustness of the distributed reinforcement learning (RL) approach to dynamic spectrum access (DSA) in cellular systems with asymmetric topologies and non-uniform offered traffic distributions. Large scale simulations of a stadium small cell LTE network, employing a distributed Q-learning based DSA scheme, show that such asymmetries in the network environment cause no degradation of the QoS provided to any part of the network. |
Year | Venue | Field |
|---|---|---|
2015 | VTC Fall | Logical topology,Computer science,Computer network,Quality of service,Robustness (computer science),Network topology,Reinforcement learning,Distributed computing |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nils Morozs | 1 | 55 | 7.98 |
| Tim Clarke | 2 | 102 | 20.02 |
| David Grace | 3 | 281 | 35.65 |