ICS TELECOM EV IS A SOFTWARE SUITE WHICH STREAMLINES THE PLANNING AND OPTIMIZATION PROCESS FOR MOBILE NETWORK OPERATORS

Mobile Networks

Overview

Mobile Networks


ICS telecom EV is a software suite which streamlines the planning
and optimization process for mobile network operators


ICS telecom EV is the first mobile network planning solution that combines mobile network planning and optimization functions. The advanced mobile features include:



  • Link budget calculations

  • Coverage planning (RSRP, 2D/3D)

  • Interference calculations (RSRQ, SINR)

  • Capacity planning (DL/UL throughput)

  • Traffic analysis

  • PCI planning

  • RSI/PRACH planning

  • Automated handover, neighbor list planning and analysis
    (intra/inter RAT)

  • Monte Carlo simulations

  • Automated site planning

  • Automated site optimization

  • Automated frequency planning

  • Re-farming frequency bands and inter-system coexistence

  • Transport (microwave) planning



ICS telecom EV is a multi-technology tool encompassing GSM, UMTS, LTE, Wi-Fi for coverage, capacity, site parameters and neighbor relations planning and optimization.


As the main functions are universal, ICS telecom EV is applicable to all technologies. The propagation models used by HTZ facilitate coverage with a high level of accuracy with or without the automatic digital map tuning module.


In addition, the calibration stage can be managed to improve the final AFP result when drive test measurement files are available.


Case studies

Prospective Planning: Finding the best candidates and optimize the network



Challenge


The main issue with mobile network design is the ability to determinate the number of sites and site locations required to achieve the target coverage and throughput. In practice, during an LTE deployment most of the site candidates are selected from a list of already applicable sites (2G or 3G existing sites). The role of the RF planner will consist of finding the best candidates and optimize the network with the addition of new macro or micro/indoor sites.


Solution


ICS telecom EV’s ‘Prospective planning’ function identifies the best locations for new sites for greenfield and densification scenarios. This function is based on coverage target assumption.The ‘Parenting LTE’ function is based on a population of LTE users with profiles and traffic demands defined. This resolves the problems with traffic network congestion (or low traffic QoS performance), by adding new sites in the hot spot areas. This function takes into account DL/UL coverage criteria and traffic assumptions.


The ‘Automatic search site’ function automatically generates the LTE network design, taking into consideration the required criteria based on the RSRP threshold.


ATDI:Network planning made easy



Automatic optimization features to increase network coverage and capacity



Challenge


During network planning it is necessary to optimize the physical (e.g. antenna tilts and azimuths) and logical parameters (e.g. Tx power) to improve the coverage and the quality of the network. After the launch, networks are constantly changing due to fluctuating traffic conditions and the addition of new sites so optimization is still needed to retain the high level of performance defined by KPIs.


Solution


ICS telecom EV offers several automatic optimization features for network parameters to increase coverage and capacity. The function ‘Station according to target coverage’ allows the user to select the sites required to achieve the coverage target by clutter types. This helps the user reduce the number of sites required. The function ‘Select station according to surface covered by station’ allows the user to select the sites for a coverage target (surface per km²) required by station. Similarly, the ‘Route planning’ function is dedicated to roads, highway, railway environments and is used to automatically determinate the best sites and configuration to optimize the clutter defined as a ‘vector’. Lastly, the ‘Station optimizing’ function allows the user to predefine a set of parameters (tilt°, Antenna height, azimuth…) to improve the station coverage.


ATDI: Ensuring networks run at full capacity



The advanced ‘Neighbor calculation’ function



Challenge


The isolation between cells which are assigned the same physical layer cell ID should be sufficient to ensure that UE never simultaneously receives the same identity from more than one single cell. PCI collision could potentially lead to handover failures and dropped calls. Neighbor cells with the same root sequences could interfere with each other and cause unnecessary PDCCH and PUSCH resource reservation.To minimize intra-cell interference in terms of cell range, the planner should apply this process: the smaller the cell size, the larger the number of orthogonal signatures and improved detection performance.


Solution


The advanced ‘Neighbor calculation’ function allows the user to perform the intra- and inter-frequency neighbor lists based on coverage predictions of each cell. This is required to plan the PCI/RSI allocations. ICS telecom EV features ‘RSI Root Sequence Index allocation’ which retains the actual cell size thereby avoiding the risk of collisions between the neighbor cells.


ATDI: Networks available anywhere – anytime



The ‘Parenting LTE’ function



Challenge


When planning small cells, consideration should be given to the choice of locations for sites with maximum demand and traffic which in turn will provide the best return on investment. The majority of site candidates are selected from a list of known sites such as bus stops, lamp posts, etc. Similarly, appropriate backhaul links for each site should be created in this manner.


Solution


The ‘Parenting LTE’ function is based on a population of LTE users with profiles and traffic demands defined. This function solves the issue of network traffic congestion (or low traffic QoS performance) by adding new sites in the hot spot area. This function takes into account DL/UL coverage criterions and traffic assumptions.


ATDI: Connecting the network


Network optimization - Prospective planning - Hotspots - Traffic maps