Wireless Networks Division
Who we are
NIST CTL’s Wireless Networks Division works with industry to develop, deploy, and promote emerging technologies and standards that will dramatically improve the operation and use of wireless networks.
Our team, based at NIST’s main campus in Gaithersburg, Md., specializes in communications networks and protocols as well as in the digital communications technologies that make those networks possible. In both of these areas, we perform both theoretical and empirical research to develop simulation models, experimental testbeds, and proof-of-concept prototypes that we use to evaluate new technologies and to refine existing standard specifications for wireless networks and systems. In addition, we define metrics and measurement methods to assess the performance of many types of wireless systems.
Our work impacts all of CTL’s core programs: Public Safety Communications, Spectrum Sharing, and Next-Generation 5G Wireless. We also co-lead the 5G mmWave Channel Model Alliance, a nexus for global efforts to develop the future radio channels over which next-generation 5G wireless networks will operate at data rates up to a thousand times greater than what is possible today.
Our diverse portfolio of work is possible thanks to an extensive collaboration network in the form of key partnerships within NIST and across industry, government, and academia.
Areas of expertise
CTL’s Wireless Networks Division specializes in two areas of wireless technology research and analysis:
• Communications networks and protocols, which involves data transport, routing, resource management and medium access control.
• Digital communications, which looks at the essential technologies enabling communications networks, including signal processing, modulation, error control coding and channel modeling.
Across both of these competence areas, we bring our capabilities in performance measurements, model development, experimental testbeds and network prototyping to bear.
The goal of our performance-measurement work is to provide insights into key factors that affect the performance, reliability and resiliency of advanced communication networks. We define common performance metrics and modeling approaches and use commercially available and in-house customized network modeling and simulation tools as well as experimental testbeds to compare different network scenarios and deployments. Among the measurement we take:
• Throughput, delay and loss associated with network protocols.
• Delay, loss, collisions and retransmissions associated with medium access control.
• Signal-to-noise ratio and block error rate associated with digital transceivers and links.
• Detection reliability and delay associated with spectrum sensing and monitoring systems.
• Fading, shadowing and noise associated with radio-frequency channels.
• Distance and link margin needed for a given link budget.
Channel Model development
Accurately characterizing the environments in which future wireless hardware and protocols will operate is a vital precursor to wireless network modeling and protocol development. Such modeling ultimately helps industry identify potential cost-savings and sets realistic expectations for network coverage, capacity, scalability and performance.
Our channel modeling work employs existing and custom models applying mathematical analysis and computer simulation to factors affecting radio-frequency propagation such as terrain, clutter, building morphologies, antenna height and center frequencies. We work with CTL’s RF Technology Division in developing and enhancing a millimeter-wave channel sounder capable of completely characterizing channels operating at the high frequencies expected to be used in next-generation 5G wireless systems. Our channel modeling experts then use these measurements as inputs for their models.
While much of our work involves mathematical modeling and computer simulation, our experimental testbeds help us validate our models, develop benchmarks and take physical measurements of wireless systems and their key components. We start with commercial broadband devices (e.g., LTE base station and user equipment), protocol analyzers and emulators, which provide a highly controlled, non-radiating environment to characterize how high-speed wireless devices transmitting over multiple channels in different environments might interact. But when our requirements push past the boundaries of what’s commercially available, we develop our own solutions, such as our real-time spectrum monitoring system using software-defined radios.
Real-Time Centralized Spectrum Monitoring: Feasibility, Architecture, and Latency
Modeling a Nationwide Public Safety Broadband Network
Radio Channel Sounders for Modeling Mobile Communications at 28 GHz, 60 GHz and 83 GHz