ASYNCHRONOUS TRANSFER MODE (ATM) SIMULATION

 

            This simulation provides for the evaluation of networks using ATM techniques, the Broadband-Integrated Service Data Network (BISDN) standard for wide area networks, to meet the demand of a broad set of user requirements.  The simulation can provide for Variable Bit Rate (VBR) and Constant Bit Rate (CBR) services.  The different ATM adaption sublayers are simulated (convergence and segmentation, and reassembly sublayers) as well as the ATM sublayers (virtual channel switching and virtual path switching).  The routing algorithm implemented in this virtual circuit oriented system is a saturation algorithm.  The user can perform analysis of average cell delay per virtual circuit as well as the overall performance of the communications system.

 

PACKET SWITCH NETWORK SIMULATION

 

            Simulation of the Packet Switched Network includes backbone and access packet switches, and host subscribers connected directly to a packet switch, or to a LAN connected to a packet switch.  It was designed to meet a broad range of data communications requirements.  Protocols are modeled in detail, along physical lines, to characterize each layer.  Dynamic shortest path first routing algorithm permits network evaluation under changing load and stress conditions.  The simulation was designed to overlay the Circuit Switch Network simulation so that voice and data loading can be assessed under specified conditions.  The model includes instrumentation to facilitate analysis of network performance measures, including throughput and response time.

 

CIRCUIT SWITCHING SIMULATION

 

            Simulation of the Circuit Switched Network includes backbone and access circuit switches, and mobile and fixed voice  and data subscribers.  The simulation was designed for evaluation of network performance under a broad range of loading and environmental stress conditions.  Adaptive flood search routing and signaling algorithms and protocols are modeled in detail, along physical lines.  The model includes instrumentation to analyze the capacity of the network under realistic stress conditions, including dynamic link error rates generated from the connectivity simulations described above.

 

LOCAL AREA NET (LAN) ETHERNET SIMULATION

 

            Simulation of a LAN based on IEEE 802.2 and 802.3 standards.  The simulation is designed to allow a wide range of input subscriber characteristics.  Protocols at the Logical Link Control Layer, the Media Access Control sublayer, and the Physical layer are modeled in detail to enable evaluation of ethernet performance.  Instrumentation provides measures of message delays, and clock time of colliding messages and identification of their sources.


 

DISTRIBUTED QUEUE DUAL BUS (DQDB) SIMULATION

 

            The DQDB simulation provides for the evaluation of a very flexible high speed subnetwork for interconnection of clusters of users within a local area.  The simulation provides for two kind of services:   the Queue Arbitrated (QA) and the Pre-Arbitrated (PA) services, which allow for a free mix of connectionless and isochronous transmission services.  The Distributed Queue Dual Bus algorithm to access and interface with the busses is simulated in detail.  The request (by priority) and busy bits are provided for in this simulation.  The user can use this basic cell structure in this simulation to predict average delivery time for messages under different traffic stress conditions.

 

ATM/MULTIPLE DQDB/GATEWAY SIMULATION

 

            This simulation provides for analyzing the end-to-end performance of multiple (up to 50) DQDB local area networks interconnected by an ATM wide area network via gateways.  The simulation, based upon statistics and user input parameters, switches from a high resolution ATM model to a low resolution ATM model.  The gateway can handle both:  The ATM Constant Bit Rate (BCR) and the Variable Bit Rate (VBR) translation to the corresponding DQDB Pre-Arbitrated (PA) and Queue-Arbitrated (QA) services.

 

OPTIMIZATION SITING SIMULATION

 

            The Antenna Position Optimization Model enables the operator to use the capabilities of the General Simulation System (GSS) Optimization Subsystem and the enhanced Fast propagation Prediction System (FPPS) to seek improved positions.  An improved position is one at which the node has better overall connectivity on its set of links than that which existed at the starting position.  Starting positions may be taken from a network deployment/laydown, or they may be specified at new locations.  The electronic interference environment may be benign or  hostile, including the presence of dynamic threat jammers that are moving.

 

TERRAIN & FOLIAGE DATA MANAGEMENT SYSTEM

 

            An off-line data management system using standard U.S. Government (NIMA) DTED to generate a terrain and foliage databases over a flexible area of interest for fast execution by the Fast Propagation Prediction system.  Includes coordinate conversion using multiple grid zones and grid zone crossing algorithms.

 

MOBILE TELEPHONE SIMULATION

 

            A mobile subscriber radio telephone simulation incorporating central nodes as well as access networks to show affiliation, migration and connectivity in a dynamic situation.  Detailed models of the mobile subscribers and their telephones, the radio access units and the other nodes account for migration within and across central node communities.  Determination of connectivity is based on receiver operating characteristics taken from radio specifications or laboratory data, and PSI's Fast Propagation Prediction System, which accounts for rough terrain and foliage, with interference as defined by the user.  Operational dynamics such as movement and downtime due to equipment failure are also modeled.


 

MOBILE AND FIXED TELECOMMUNICATIONS SIMULATION

 

            This capacity simulation provides for calculating call setup time and grade of service for a circuit switched system using an adaptive routing algorithm to select and allocate communication resources between source and destination subscribers.  The system uses an inband signaling scheme for access nodes and an out-of-band signaling scheme for backbone nodes to establish the connections.  The routing information is transmitted on a dedicated channel.  This simulation can take input files from both/either the Dynamic VHF Mobile Radio Telephone simulation and/or the UHF Multichannel Radio Connectivity simulation.  This simulation contains the following models: Subscriber Model, Node Model, and Link Model.

 

MOBILE RADIO COMMUNICATION NETWORK MANAGEMENT SYSTEM SIMULATION

 

            This is a capacity data distribution system simulation using access:  Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), and Code Division Multiple Access (CDMA).  It uses a virtual dedicated circuit scheme to allocate communication resources between communication radio units to satisfy user needs.  It also uses a centralized control net for synchronization purposes for frequency allocation.  This timeslot message level simulation contains detailed models of network management algorithms as well as distributed routing algorithms in order to predict system performance under interference, traffic, and movement stress conditions.

 

DYNAMIC UHF RADIO DATA NETWORK CONNECTIVITY SIMULATION

 

            This simulation calculates connectivity based on the receiver operating characteristics taken from radio specifications or laboratory data, and PSI's Fast Propagation Prediction system which accounts for propagation path losses in rough terrain, with interference as defined by the user.  Unit and interferer movement are modeled.  This simulation contains the following models:  Radio Model, Antenna Model, E-M Environment Model, and Dynamic Interference Model.

 

DYNAMIC VHF MOBILE RADIO TELEPHONE SIMULATION

 

            This simulation provides for potential connectivity of mobile radios with a group of radio access points as a function of time under interference conditions.  Connectivity is calculated based on antenna gains, receiver operating characteristics, environment noise values, interference, and propagation path losses.  The following models are contained in this simulation: Network Control Model, Interference Model, Radio Model, Antenna Model, and Environment Model.  This simulation generates output data that can be used as input to the Mobile and Fixed Station Telecommunication Simulation.


 

RF DATA NETWORK CONNECTIVITY SIMULATION

 

            PSI has built a number of simulations of data distribution systems using multiple access (TDMA, FDMA, CDMA) spread spectrum radio terminals deployed across various organizational levels.  These simulations are based on various real-world situations, with movement and interference scenarios between critical incidents to determine network management and relay requirements.  Individual messages are generated as traffic from host system models based on data communications requirements input by the user.  Determination of connectivity is based on receiver operating characteristics taken from radio specifications or laboratory data, and PSI's Fast Propagation Prediction System, which accounts for propagation path losses in rough terrain and foliage, with interference as defined by the user.  Operational dynamics such as movement and downtime due to equipment failure are also modeled.

 

SENSOR DATA COMMUNICATIONS SIMULATION

 

            A collection of GSS models used to predict sensor message traffic requirements under realistic aircraft scenario and threat situations.  Includes host platforms, sensors, decision processes, radio terminals, nodes, relays and network control facilities.  It flies large numbers of individual aircraft, which can be either fixed or rotary wing.  User creates corridors and enters information governing when flights start.  Decision rules include add and drop track information, and coasting of tracks based on system specifications or other specifications desired by the user.

 

NETTED FULL SPECTRUM SENSOR (NFSS) OPERATIONS MANAGEMENT SYSTEM (OMS)

 

The NFSS-OMS allows engineering decision-makers to perform tradeoffs in sensor requirements and design parameters, and to support staff officer decisions in real-time mission planning and execution.  The system contains a full suite of state-of-the-art ground based and air delivered multi-intelligence sensors to provide full coverage of the MASINT spectrum.  The architectural design of NFSS-OMS provides needed modules to ensure that tasking and missions of disparate MASINT operational sensors are coordinated by the NFSS-OMS.  The architecture also provides a Common Operating Picture of the battlefield with the information derived from the sensor systems.  Sensor coverage maps are generated automatically based on user specified parameters depicting the areas of the battlefield covered by each sensor system.  The NFSS-OMS supports connections with sensor systems for sensor report collection, processing, data fusion and graphical display.  NFSS-OMS uses non-linear optimization to support mission planning for both pre and post deployment to optimize sensor emplacement, tasking, and information gathered.  Interfaces with other sensor management and control systems are supported to expand sensor fusion and deployment deconfliction capabilities.

 


PACKET RADIO COMMUNICATIONS NETWORK SIMULATION

 

            A simulation incorporating very detailed contention access packet radio protocol submodels to investigate the effects of various broadcast network protocols on user traffic.  Protocols include Aloha, slotted Aloha, nonpersistent, and P-persistent CSMA.  Models include user conversations, message processors, packet processors, node switches, signal processors, transceivers, and the electromagnetic environment.

 

SINGLE CHANNEL RADIO NETWORK SIMULATION

 

            This simulation was designed for evaluation of system performance under a broad range of network configuration, data loading, and environmental conditions.  The model permits simultaneous multinet simulation under combinations of jamming stress including pulse, sweep, and broadcast jammers and self interference from either the same or a different radio network.  Instrumentation is provided to measure reliability, throughput, response time, and other measures of performance, for terminals connected directly to the single radio.  For applications that provide higher layer protocols, the model interfaces at the bit error rate level.

 

MULTICHANNEL RADIO COMMUNICATIONS CONNECTIVITY SIMULATION

 

            A simulation incorporating a large network of multichannel microwave radio links.  It is used to determine the connectivity of a network with directional links in a dedicated point-to-point mode carrying multiple 16 Kbit channels.  Directional antenna, interference, transceiver, and signal processor models are used to investigate new antenna and signal processing designs to minimize the effects of mutual and external interference.

 

UHF MULTICHANNEL RADIO CONNECTIVITY SIMULATION

 

            This simulation calculates the connectivity of a network that uses directional antennas for interconnecting nodes.  Connectivity is based upon: antenna gains, transmitter line losses, frequency of operation, receiver noise figure, receiver bandwidth, ambient noise, propagation path losses and interference power levels.  This simulation generates output data that can be used as input to the Mobile and Fixed Station Telecommunications Simulation.  This simulation contains the following models:  Network Control Model, Radio Model, Antenna Model, Environment Model, and Interference Model.

 

MULTICHANNEL RADIO LINK SIMULATION

 

            Simulation is based on the Network Capacity simulations described above.  The simulation permits investigation and analysis of degradation mechanisms, system responses to disturbances, and the effectiveness of switching and routing algorithms in minimizing susceptibility.  It also permits analysis of system performance when subjected to specific interference waveforms.  The simulation aids in quantifying switching performance susceptibility in terms of measures of performance.

 


AIR DEFENSE COMMAND AND CONTROL SIMULATION

 

            Simulates communications network protocol layers in conjunction with radio network simulations described above.  The simulation interfaces with other simulations to provide controlled access to the UHF media, and highly-reliable data transmission service.  The simulation will enable analyses relevant to the reliability, throughput, and response times of C2 systems and weapon systems.

 

FIRE SUPPORT COMMAND AND CONTROL SIMULATION

 

            Simulates a link layer protocol running in conjunction with the Single Channel Radio Network simulation described above.  The simulation interfaces with Fire Support C2 simulations to provide controlled access to the VHF media, and highly-reliable data transmission service.  The simulation will enable analyses relevant to the reliability, throughput, and response time of the Single Channel Radio CNR supporting Fire Support C2 systems.

 

EFFECTS BASED OPERATIONS (EBO) / INTEGRATED AIR DEFENSE  SYSTEM (IADS) SIMULATION

 

PSI built a proof of concept simulation of an Integrated Air Defense System (IADS) for an Effects Based Operations (EBO) effort in AFRL Rome NY.  The scenario provided with the EBO-IADS simulation is reasonably complex and uses Bosnia as the theater of operation.  The scenario contains movement paths (flight paths in this case); airplanes with UHF jammers, airplanes with early warning receivers and self-screening jammers; red force ground UHF networks, radar sensors, C2 units, and fire units with their own targeting radars; ground-based coalition radios; Pedistal Mounted Stinger missiles; Bosnia contour map; and a reference grid.  Interaction of these elements occurs in a very natural and realistic manner.  Dynamic interaction with the scenario within the simulation supports scenario changes in real time and on-the-fly “what-if” analysis. 

 

LINK-16 SIMULATION INTERFACE WITH JSAF

 

The Joint Semi-Automated Force (JSAF) simulation is used for large war gaming and large, man-in-the loop exercises of Command and Control (C2) systems and operations.  JSAF had no communications modeling capability and always assumed perfect communications, however communications are essential to actual operations and to emerging Network Centric Warfare (NCW).  The tactical heart of NCW is Link-16 that is currently provided by JTIDS/MIDS radios.  As part of an AFRL multi-team effort,  PSI interfaced its Link-16 Simulation with JSAF, which is a large, complex simulation maintained by Joint Forces Command (JFCOM).  The Link-16 Simulation is a component of the Network Management System (NMS) built by PSI for the Link-16 Tactical Data Link (TDL).  The merger of the Link-16 Simulation and JSAF leveraged prior investments by the Air Force, and was therefore developed for substantially less funding and in significantly shorter time than had the effort been started from scratch.  An HLA interface was defined and built to support platform position updates and transmission requests from JSAF into the Link-16 Simulation, and to handle transmission responses to JSAF.  The Link-16 NMS was used to define an operationally significant scenario and to define Link-16 networks to demonstrate full integration operability.  The Link-16 Simulation computes accurate and fast radio propagation calculations over 3D terrain for the various transmitter power levels being used.  The Link-16 Simulation provides  visualization of terrain, terrain coutours and political boundaries, and dynamic visualization of platform movements, and RF-link and Link-16 network connectivity.  The Link-16 Simulation adds communications to the JSAF C2 functions to realize true C3 operations.

 

ELECTRONIC SUPPORT FOR FUTURE FORCE (ESFF)

 

ESFF is a SIGINT sensor capability within an Unattended Ground Sensor (UGS) package or Tactical SIGINT Payload (TSP) of an Unattended Airborne Vehicle (UAV).  ESFF capability was developed as a Science and Technology Objective (STO).  To meet the ESFF STO requirements, PSI developed the SIGINT Model Suite to test and evaluate ESFF’s capabilities.  The SIGINT Model Suite is used to support the system algorithm development and performance analysis.  The ESFF sensor model supports the dynamic Ad-Hoc coordination process for performing Time Difference Of Arrival calculations (TDOA).  These models were used in the Future Combat, Command, and Control (FCC2) and Unit of Action Concept Experimentation Program (UACEP) experiments held at the Unit of Action Maneuver Battle Lab (UAMBL), Ft. Knox in May 2001 and April 2002 respectively, the OF/FCS C4ISR experiment in December 2002, the UACEP experiment in May 2003, the UADEV1 experiment in October 2003, the UADEV2 experiment in January 2004, the IE04 experiment in June 2004, the UADEV3 experiment in September 2004, and the Omni Fusion Build 1 and Build 3 experiments in January and October 2005.  These experiments were live virtual simulations with soldiers in the loop interacting with the output of the simulated sensor systems.  This provided an excellent environment where the value of ESFF to the soldier could be analyzed.  The results of the UAMBL experiments demonstrated that the information provided by ESFF was valuable to the soldier and became a key part of deploying their other sensor systems.  The SIGINT Model Suite uses the HLA standard.  To interface with legacy distributed virtual simulation environments such as the DIS environment, an HLA/DIS gateway was developed as part of the SIGINT Model Suite.

 

DEFENSE INFORMATION OPERATIONS PLANNING TOOL (DIOPT)

 

PSI demonstrated an approach to using automated tools to create the Defensive Information Operations Planning Tool (DIOPT) simulation that can be deployed quickly in support of Information System (IS) operational management, specifically to minimize system vulnerabilities.  Given the operational plans for deploying an IS, a simulation of the IS can be constructed using predeveloped models represented by icons.  These models can be parameterized and thus tailored to the specific scenarios to be represented.  The IS planner can construct and modify the simulated IS network by interconnecting IS nodes and links that the planner understands.  Models of threats to the IS system can then be used to assess the vulnerabilities of the system to various types of attacks.  This can afford a planner the ability to determine how the IS architecture can be improved to reduce vulnerabilities, particularly to mission critical tasks, and to predetermine best courses of action to counter an attack.  The DIOPT effort represented a broad proof-of-concept approach that demonstrated the feasibility of achieving multiple objectives including:  design of hierarchical models of typical IS equipment to demonstrate how they can be interconnected to create a meaningful running simulation during operations; building of Smart Network Models, represented by icons, for Higher Level Modelers and Analysts to quickly build smart network models; assessment and minimization of IS vulnerabilities and simulation of various attacks; real-time collection and analysis of IS architecture information through interfaces to the IS network resident intrusion detection systems; IS real-time detection and countering attacks via interfaces to live equipment and agents; on-screen, real-time alarms to further investigation to aid in the rapid determination of the best courses of action to be taken.

 

JOINT RANGE EXTENSION GATEWAY (JREG) SIMULATION

 

The Joint Range Extension Gateway (JREG) is a communications gateway/router using long-haul communication links to transfer data between JTIDS/MIDS RF networks. Link-16 networks such as JTIDS are Line-of-Sight (LOS) and would require airborne relays to communicate Beyond Line-Of-Sight (BLOS). The JRE provides the JTIDS with BLOS capability via multiple types of long-haul media such as UHF and SHF satellites and landline.  JREG consists of an important set of capabilities and is being deployed with greater frequency.  JREG considerations often factor into Joint Information Communications Officer (JICO)  planning of Multi-TADIL Networks (MTNs).  MIL-STD 3011 provides the standards for the Joint Range Extension Application Protocol (JREAP) that is used by JRE gateways.  For this effort PSI researched the various capabilities and modes of operation of JREAP and defined and built a simulation architecture and models in support of JREG functionality.   PSI focused on development of requirements and simulation architecture for JRE models that are associated with point-to-point interfaces to Link-16 terminals and to Satellite Ground Stations (Appendix B of 3011).   A detailed JREG processor model and associated initialization and statistics collection models were built and integrated into a simulation framework designed to exercise the JREG model.  The JREG simulation contains “stub” models to serve as interfaces to JTIDS terminals and to Satellite systems. These models support TADIL-J message traffic generation to exercise and assess the JREG model.  The interfaces between the “stub” models and the JREG model were designed such that the JREG model could easily be interfaced to detailed models of JTIDS and Satellite systems.

 

UHF TACTICAL SATELLITE COMMUNICATIONS SIMULATION

 

Satellites play an increasingly important role in military operations for reach-back, BLOS tactical communications, and support of newer high bandwidth needs such as video imaging from UAVs, etc.  USAF ACC and C2ISR staff has stated that the addition of satellites is critically important to JTIDS/MIDS planning and simulation.  To this end, PSI architected, designed and built preliminary models for satellite constellations, radios, and for environmental factors such as weather, noise, etc.  The geostationary UHF Follow-on (UFO) satellite constellation and associated ground stations were modeled along with propagation and weather affects.  UFO satellites are most important to tactical communications and are used for Joint Range Extension (JRE) of Link-16 Tactical Data Links (TDLs).  Communications traffic and protocols were modeled after the 25 KHz Demand Assigned Multiple Access (DAMA) protocol.  Models were built to handle incoming and outgoing X.25-type packets, link budget calculations including effective isotropic radiated power, receiver antenna gain and noise levels for earth stations and satellites.  The propagation model computed propagation of up and down links, and another model handled the affects of rain attenuation on links.  Traffic generation models were used to stimulate the satellite models and statistics models accumulated performance measurements.

 

LINK-11 HF TERMINAL PLANNING TOOL

 

After Link-16, Link-11 is the next most important Tactical Data Link (TDL) network to support.  Link-11 operates in both the HF and UHF radio bands.  PSI had fast, robust and validated radio and propagation models for UHF communications and networking, however newer models were needed for HF Link-11 propagation.  Therefore, PSI built HF radio and propagation models needed to support HF and developed Link-11 Terminal models and HMIs associated with weather and solar condition inputs.  PSI also developed models for analysis and reports.  In building these new models, PSI explored the full set of Link-11/11B operating modes (RF, cable connected, etc.), the 6011C message set used by Link-11, and Joint Information Communications Officer (JICO) operations and planning functions.  The PSI Link-16 Planning Tool served as the basis for building the Link-11 HF Planning Tool.  Link-11 radio operation is completely different from Link-16.  Each Link-11 unit is referred to as a Participating Unit (PU).  Each network requires a Network Control Station (NCS).  The typical operation (assumed for this design) is to have the NCS poll each Picket (non-NCS PU) in the network for information that needs to be sent.  The Network Cycle Time (NCT) is the term used to describe the time it takes to complete the polling cycle once.  This time is dependant on network activity and is different for each cycle.  The radios compute their own NCT value based on the time between when they are polled.  The Link-11 HF Terminal Planning Tool supports interactive deployment of Link-11 platforms on dynamic movement paths, assignment of Link-11 PU radio and antenna parameters, input and modification of environmental parameters including noise, required SNR, sunspots, etc.  The Planning Tool also supports interactive building of Link-11 Nets and visualization of HF RF and Link-11 network connectivity.

 

 

ARCHITECTURE ASSESSMENT TOOL (AAT)

 

The AAT is a combination of a planning tool and simulation that is used to assess the impact of passing TCP/IP messaging through the Link-16 Tactical Data Link (TDL).  The Global Strike Task Force requires an adaptive and responsive force that can go into a theater with selected elements from different organizations tailored to carry out desired objectives.  A single network cannot solve this huge problem.  Different types of networks are needed and many are being developed.   It has become apparent that an assessment of the desired Joint/Coalition communications architectures are needed immediately. The AAT is a step in this direction.  The use and importance of IP communications is growing as Network Centric Warfare (NCW) expands, while Link-16 is the tactical heart of NCW.  The AAT combines elements of the PSI Link-16 Network Management System with a PSI simulation and models of SINCGARS TCP/IP communications.  A gateway model is used to interconnect TCP/IP traffic with the Link-16 network.  The AAT can be used to define and size Link-16 networks to support TCP/IP traffic.  AAT simulation traffic generation and analytical capabilities can then be used to assess the performance of TCP/IP over Link-16 and the impacts on other Link-16 networks and trade-offs in network and gateway design.  The AAT is intended to serve as a framework for adding new communications and networking models such as satellites, Joint Range Extension, Common Link Integration Processing (CLIP), and emerging Airborne Networking (AN) capabilities including airborne routers.

 

 

SIGINT ELECTRONIC COLLECTION PLANNING TOOL

 

This planning tool optimizes flight paths for platforms collecting SIGINT data, and determines the positions of waypoints that maximized a given SIGINT collection measure while meeting constraints such as total fuel, total distance and time, and maximized distance from threats that could detect and neutralize the mission.  A user can specify waypoints by interactively placing points for the flight path on a map.  Alternatively, the user can specify just the starting and ending points of the flight path and the number of desired waypoints, and let the system find the optimal locations of the other waypoints.  Different target types can be loaded into the system.  Visualization of the flight paths, terrain, and foliage, rivers, towns and road networks is provided.  Terrain contours are derived from NIMA’s WGS-84 terrain databases.  The SIGINT collection-planning tool uses PSI’s FPPS to determine radio path losses over the 3D terrain.  A SIGINT sensor model includes detailed and accurate antenna models and data, a radio receiver model that determines the quality of signal reception in different bands.  A collection control and evaluation model for the sensor determines the pattern of frequencies tracked, the duration of each, and the effectiveness of the collection process over given time intervals.  An aircraft platform model determines the changes in flight direction, speed and altitude over time that influenced signal detection events.

 

 

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