# Benefits

"4G/5G Dimensioning" Main Program Output

The main results of the "4G/5G Dimensioning" Program can be classified in six broad categories

## LTE Network Maximum Capacity

#### Site capacity is generally undersized or oversized in relation to the traffic, with Icix a follow-up of the performances allows to dimension exactly each site.

## In order to assess the average maximum capacity, the ICIX tool looks at the datasets of all hourly Transmitted Volumes, and correlates the information with Sector Utilisation, Number of Active Users, QoS Class Identifiers (QCI), as well as RSRP/RSRQ, etc... on a sector to come up with a statistical Maximum Capacity estimate for every sector which reflect local “average” local conditions. One can clearly see here how statistically, the volumes transmitted “capture” the local RF conditions, network parameters as well as the behaviour and location of the subscribers. In the ICIX tool, the Maximum Capacity is presented under different assumptions, i.e. all users being connected under a “near”, “center” or “edge” RF signal, as well as for a “median” case where a statistically average mix of users connect in different parts of the network

## Average User Throughput

#### It is unique and as accurate as field measurements (drive tests), but Icix provides information anytime, anywhere on the throughput obtained in various zones (near, cell center and cell edge) and various traffic patterns (peak hour, high and low hours).

## For any ADDITIONAL user, latching on in a “near”, “center”, or “edge” zone, the 4G Dimensioning Program provides the expected average User Throughput experience under the selected traffic model (such as “high hour” or “peak hour”). Note that from a statistical point of view, the experience of an ADDITIONAL user is exactly the same as the average experience of ANY user in that zone, i.e. if an ADDITIONAL user can get 32 Mbps in a “near” zone, then any other users (even those already connected and only chatting at low transmitted data rates) in that zone can achieve at least the same throughput

## Sector Load

The Sector Load is a much easier concept to grasp as it simply reflects the average of total volumes transmitted to all subscribers in an hour, expressed as a throughput. So, for example, a sector sending a total of 3,600 Gb of data in an hour can be simply thought of as supporting a “load” of 1 Mbps. As Sector Load increases, the “un-used Capacity” diminishes until the sector reaches saturation, at which point any new Subscriber’s Throughput will quickly tend to zero

## Icix calculates the actual capacity of the sector or cell and therefore gives its remaining capacity and its efficiency rate

## LTE Traffic Forecast

By assuming that sector traffic, resources utilisation and many other OSS counters follow a stochastic process (i.e. behave as a multi-dimensional collection of random variables), the actual OSS datasets collected can be thought of as a time stamped series of observations which realise a specific “path” (or “realisation”) of the stochastic process. Such a stochastic model for a time series generally reflects the fact that observations close together in time will be more co-related that observations further apart

## Icix forecasts all the dimensioning necessary to maintain QoE and infer congestion at 6 months, 12 months if no investment is made

## Required Network Upgrades

Given parameters specified in an interface box (such as target throughput, traffic model), the tool can also help in evaluating where capacity upgrades are needed on the network. For example, the tool can provide the average user throughput at “High Hour” either network wide, per region, or per site/sector. Based on these parameters, the program will provide the necessary upgrades required on the network in order to satisfy the current traffic pattern and demand for capacity. These requirements can translate into three types of suggested remediation:

- If possible, the activation of more bandwidth on a carrier up to the maximum allowable bandwidth;

- Should that not suffice, the tool can recommend turning on a new carrier;

- Should the maximum number of carriers already be deployed, the tool then suggests the deployment of a new site to offload some of the traffic from the current infrastructure

## Budgets are optimal because every dollar invested either improves the level of the subscriber's experience or generates new traffic

## Fixed Wireless Access (FWA) Sellable Lines

Having calculated the 4G load on the network, the ICIX tool is now able to provide some Fixed Wireless Access (FWA) specific results. Based on the average sector Capacity and the average cell/sector Utilization and Load historical datasets, the ICIX tool can make calculations on the number of sellable Fixed Wireless Access (FWA) lines still available lines per sector. This is however not a simple task since any excess Capacity available will typically be used by both mobile and fixed traffic (when FWA services are not prioritized), and one therefore needs to take the probability distribution and forecast of mobile traffic into account in order to guarantee FWA lines availability and throughput