TY - JOUR
T1 - Data Aggregation and Packet Bundling of Uplink Small Packets for Monitoring Applications in LTE
AU - Kim, Dong Min
AU - Sørensen, René Brandborg
AU - Mahmood, Kashif
AU - Østerbø, Olav Norvald
AU - Zanella, Andrea
AU - Popovski, Petar
PY - 2017/11/27
Y1 - 2017/11/27
N2 - In cellular massive machine-type communications, a device can transmit directly to the BS or through an aggregator (intermediate node). While direct device-BS communication has recently been the focus of 5G/3GPP research and standardization efforts, the use of aggregators remains a less explored topic. In this article we analyze the deployment scenarios in which aggregators can perform cellular access on behalf of multiple MTC devices. We study the effect of packet bundling at the aggregator, which alleviates overhead and resource waste when sending small packets. The aggregators give rise to a trade-off between access congestion and resource starvation, and we show that packet bundling can minimize resource starvation, especially for smaller numbers of aggregators. Under the limitations of the considered model, we investigate the optimal settings of the network parameters in terms of number of aggregators and packet bundle size. Our results show that, in general, data aggregation can benefit the uplink massive MTC in LTE by reducing the signaling overhead.
AB - In cellular massive machine-type communications, a device can transmit directly to the BS or through an aggregator (intermediate node). While direct device-BS communication has recently been the focus of 5G/3GPP research and standardization efforts, the use of aggregators remains a less explored topic. In this article we analyze the deployment scenarios in which aggregators can perform cellular access on behalf of multiple MTC devices. We study the effect of packet bundling at the aggregator, which alleviates overhead and resource waste when sending small packets. The aggregators give rise to a trade-off between access congestion and resource starvation, and we show that packet bundling can minimize resource starvation, especially for smaller numbers of aggregators. Under the limitations of the considered model, we investigate the optimal settings of the network parameters in terms of number of aggregators and packet bundle size. Our results show that, in general, data aggregation can benefit the uplink massive MTC in LTE by reducing the signaling overhead.
U2 - 10.1109/MNET.2017.1700090
DO - 10.1109/MNET.2017.1700090
M3 - Journal article
SN - 0890-8044
VL - 31
SP - 32
EP - 38
JO - I E E E Network
JF - I E E E Network
IS - 6
ER -