TY - GEN
T1 - 5GTraDis
T2 - 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016
AU - Ambriz, Sergio Jesus Gonzalez
AU - Mendez, Rolando Menchaca
AU - Angeles, Mario Eduardo Rivero
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/21
Y1 - 2016/11/21
N2 - 5G Heterogeneous Networks (HetNets) represent a promising solution to meet the continuous traffic demand originated mainly by the new mobile applications with real and non-real time requirements, new devices, cloud services, IoT and the novel IoE applications. The incorporation of traffic offloading techniques to deal with these demands is an essential part to be implemented in the future networks. Current techniques are focused on implementing policies about how to address the traffic between end users and a network entity (e.g., Macrocell or Small Cell). However, a number of issues can arise if the network topology is not considered in order to transport the traffic from sources to destinations. In this work we present a new traffic distribution technique that takes advantage of the expected 5G Heterogeneous Networks capabilities to bring significant gains in traffic distribution, resilience and overall network capacity improvements in such networks. Our technique is oriented to establishing topologies that improve the overall connectivity by incorporating communication links between any network component (e.g., small cell to small cell, macrocell to macrocell) as a way to offload traffic from congested zones. Our experimental results shows that the proposed scheme outperform traditional HetNets.
AB - 5G Heterogeneous Networks (HetNets) represent a promising solution to meet the continuous traffic demand originated mainly by the new mobile applications with real and non-real time requirements, new devices, cloud services, IoT and the novel IoE applications. The incorporation of traffic offloading techniques to deal with these demands is an essential part to be implemented in the future networks. Current techniques are focused on implementing policies about how to address the traffic between end users and a network entity (e.g., Macrocell or Small Cell). However, a number of issues can arise if the network topology is not considered in order to transport the traffic from sources to destinations. In this work we present a new traffic distribution technique that takes advantage of the expected 5G Heterogeneous Networks capabilities to bring significant gains in traffic distribution, resilience and overall network capacity improvements in such networks. Our technique is oriented to establishing topologies that improve the overall connectivity by incorporating communication links between any network component (e.g., small cell to small cell, macrocell to macrocell) as a way to offload traffic from congested zones. Our experimental results shows that the proposed scheme outperform traditional HetNets.
KW - 5G
KW - HetNets
KW - Massive MIMO
KW - Small Cells
KW - Traffic Distribution
UR - http://www.scopus.com/inward/record.url?scp=85006847176&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2016.7751247
DO - 10.1109/ICEEE.2016.7751247
M3 - Contribución a la conferencia
AN - SCOPUS:85006847176
T3 - 2016 13th International Conference on Electrical Engineering,Computing Science and Automatic Control, CCE 2016
BT - 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 September 2016 through 30 September 2016
ER -