ICS telecom EV supports all IoT technologies and proprietary standards currently available. Advanced IoT features include:
IoT networks and services from classical networks in many aspects but particularly from a planning perspective. ATDI offers the following features and services specifically for IOT:
A mesh network architecture can continuously maintain connectivity between a set of IoT sensors and gateways/hubs. It benefits from a scalable and flexible architecture. Radio planning mesh networks provides the dimensioning of the mesh node in order to achieve the coverage requirements. ICS telecom EV supports the analysis of the links between the nodes in order to optimize the dynamic routing, minimizes latency levels and provides backhaul for the gateways.
The cluster assignment functionality of ICS telecom EV completes clustering connections between the different IoT devices applying constraints such as the distance between the two linked devices and the maximum number of devices per station/cluster. The connections between two subscribers will be made if the power received is greater than the predefined threshold. Parenting between subscribers/clusters and gateways can be performed by the parenting function. This is limited to the maximum number of devices allowed. In order to check how many hops are required for each subscriber to reach a gateway, there is the hopping report function. ICS telecom EV offers a prospective planning function and adds additional repeater nodes to ensure connectivity for all devices which can’t be directly connected to a gateway.
IoT networks should provide coverage for different use cases to meet different requirements and challenges. What needs to be appraised within the proposed network: impact of indoor vs outdoor, traffic modelling and battery life.
During the IoT network deployment scenario, most of the candidate sites are likely to be selected from a list of friendly sites (2G, 3G or LTE existing sites). The RF planner is tasked with finding the best candidates and densifying the network. The main goal of the network design phase will be to determine the required number of sites and their location to achieve the target coverage and throughput for different types of subscribers.
To model a use case such as smart metering in deep indoor areas, the ATDI platform Subscriber functions can be used, with additional losses in subscriber parameters. ATDI platform Prospective planning function allows to find the best locations for new sites in case of greenﬁeld and densiﬁcation scenarios. This function is based on coverage target assumption. Parenting function is based on a population of IoT devices (profiles in term of traffic can be defined by user). This function takes into account DL/UL coverage criteria and traffic assumption. Automatic site searching function will automatically perform the NB-IoT network design taking into consideration the RSRP threshold requirement.
IoT coverage is based on the various implementation scenarios (stand alone, in band, guard band). There are 3 coverage extensions (CE) levels (0-2) in IoT with different numbers of repetitions, which improve coverage (RSRP and SNIR). Coverage maps for each CE level, based on thresholds for coverage improvements analysis and actual throughput, can be achieved in the identified area.
Repetition means that the same data transmits several times to improve the reliability of the receiving signal (improved coverage but decreased throughput and cell capacity at the same time).
Cell capacity depends on the subscriber distribution, which can use different number of repetitions in the coverage area.
Whatever a LoRa or NB wireless system, there are RF limitations inherent from the use-case. M2M communication networks are PMP in nature with sensors installed at different floors including the basement. These requirements encourage network planners to adopt 3D digital maps and apply path-specific full deterministic propagation models. LoRa supports multiple spreading factors from 6 to 12 (with 12 being the most robust but also the longest in terms of air-time occupancy). Network dimensioning relies on accurate signal level predictions to work out the SF distribution amongst target end-points. A GPS-free LoRaWAN geo-location device should be covered by at least 3 gateways to ensure the time difference of arrival (TDOA) calculation on the received LoRa signal and calculate the position.
ICS telecom EV features a full 3D and deterministic propagation models which have been validated by field measurements for urban/suburban/rural environment. These models are described as path-specific, unlike classical models such as Extended Hata, which is typically used for macro-coverage predictions and street level mobile receivers. ICS telecom EV provides SF distribution map based on SINR calculation for link adaptation analysis and target air-time thresholds. The network analysis functions analyze zones with more than 3 gateway diversity to ensure the geolocation services in LoRaWAN network.