Title :
Toward 5G densenets: architectural advances for effective machine-type communications over femtocells
Author :
Condoluci, Massimo ; Dohler, Mischa ; Araniti, Giuseppe ; Molinaro, Antonella ; Kan Zheng
Abstract :
Ubiquitous, reliable and low-latency machine-type communication, MTC, systems are considered to be value-adds of emerging 5G cellular networks. To meet the technical and economical requirements for exponentially growing MTC traffic, we advocate the use of small cells to handle the massive and dense MTC rollout. We introduce a novel 3GPP-compliant architecture that absorbs the MTC traffic via home evolved NodeBs, allowing us to significantly reduce congestion and overloading of radio access and core networks. A major design challenge has been to deal with the interference to human-type traffic and the large degree of freedom of the system, due to the unplanned deployments of small cells and the enormous amount of MTC devices. Simulation results in terms of MTC access delay, energy consumption, and delivery rate corroborate the superiority of the proposed working architecture.
Keywords :
3G mobile communication; 5G mobile communication; femtocellular radio; radio access networks; telecommunication congestion control; telecommunication traffic; 3GPP-compliant architecture; 5G cellular networks; 5G densenets; MTC access delay; MTC traffic; congestion reduction; core network; delivery rate; dense MTC rollout; energy consumption; femtocells; home-evolved NodeBs; human-type traffic; interference; low-latency machine-type communication; machine-type communication reliability; massive MTC rollout; radio access network; system degree-of-freedom system; ubiquitous machine-type communication; unplanned deployments; working architecture; 5G mobile communication; Computer architecture; Delays; Dense estimation; Femtocells; Handover; Microprocessors; Wireless networks;
Journal_Title :
Communications Magazine, IEEE
DOI :
10.1109/MCOM.2015.7010526