LTE-M adaptive eNodeB for emergency scenarios

Abstract

Abstract-The next generation of mobile systems must provide a balancing strategy towards M2M (Machine-to-Machine) traffic, while maintaining a sustainable Quality of Service (QoS) for H2H (Human-to-Human) traffic, especially with the expected exponential growth of the number of M2M devices in the coming years carried by the advance of the IoT (Internet of Things) technology. In normal situations, it is obvious that using a 1.4 MHz bandwidth in Long Term Evolution for Machines (LTE-M), helps in improving M2M device complexity, cost and battery life effectively. However, in emergency scenarios, an expected M2M storm will lead inevitably to a fast resource depletion accompanied by an eNodeB congestion in a split second. In this manuscript, we propose a novel scheme "LTE-M Adaptive eNodeB", which gradually solves the eNodeB overload problem, while keeping the H2H traffic QoS not to be affected badly. Moreover, We adaptively manage network resources to allow both traffic to efficiently access the LTE network via SimuLTE opensource modeler. Eventually, an evaluation of the mutual impact of M2M and H2H coexistence is also presented.

IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies

“…LTE-M is another LPWAN protocol, operating at a 1.4 MHz bandwidth [23]. It was introduced with the aim of supporting a massive number of devices, providing 10 year battery life support [24] and supporting data rates of up to 1 Mbit/s, which is enough to satisfy the higher data rate requirements for devices such as video cameras and wearables [25].…”

CTMC modelling for H2H/M2M coexistence in LTE‐A/LTE‐M networks

“…Based on our previous work in [17], we found out that by leasing some folds of LTE‐M classic bandwidth, we can achieve a significant gain in the M2M traffic with the same ratio.…”