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M. R. Souryal, J. Geissbuehler, L. E. Miller, and N. Moayeri, Real-Time Deployment of Multihop Relays for Range Extension

NIST 700 MHz Band Channel Propagation Model

Measurements to date
Channel model to date
Forthcoming measurements
Forthcoming models


The imminent auction of the FCC band between 698-806 MHz has generated a great deal of interest in both the private sector for cell telephony as well as the public sector for public safety communications. NIST is currently in the phase of developing a channel model for this 700 MHz Band for use in network modeling and simulations. The model is based on measurements collected by the NIST Radio Frequency Fields Group (RF Fields Group). Details of the measurements can be found in the following reports: We have established this website to update the status of our model and to seek input from the user community on useful parameters and usage scenarios to consider in its development.

Measurements to date

We made three types of measurements: single frequency (radio mapping), frequency response (VNA), and modulated 802.11g (VSA). Thus far we have focused on the VNA data for channel modeling.


The measurements were conducted in a large number of structures of varying dimension, shape, and function throughout the United States. The following table summarizes the environments:

Selected environments
1. Republica Plaza Building, Denver, CO
2. Denver Convention Center, Denver, CO
3. Hazel-Atlas and Greathouse subterranean tunnels, Antioch, CA
4. Horizon West apartment, Boulder, CO
5. Oil refinery, Commerce City, CO
6. NIST laboratory, Boulder, CO

A single measurement in a given environment consists of measuring the frequency response of the channel between a single transmitter (TX) located outside the structure and a single receiver (RX) located inside, typically 10-100 meters from the structure (where an incident command station may be located). The following figures depict a representative measurements environment, showing the fašade of the Republic Plaza Building in Denver, Colorado and the placements of the transmitters and receivers.

Measurement system

The complex frequency response of the channel is measured using a vector network analyzer (VNA). The VNA operates by generating at Port 1 a continuous-wave tone at a given frequency, sending it through a device under test (DUT), and then measuring the attenuation and phase-shift the DUT imparts on the tone at Port 2, relative to Port 1. Sweeping a particular frequency band then allows characterization of the normalized response of the DUT. In our case, the DUT is the channel between the TX and RX antennas and the band is 698-806 MHz.

Omnidirectional antennas were used for the TX and RX antennas for frequencies in the 700 MHz band. A figure of the measurement system is shown below. The responses of the antennas and the measurement instrumentation were calibrated out of the measurements to render them completely independent from the test system. The reports cited in the Objective section provide specifics on the measurement system.

Channel model to date

Path-loss model

Path-loss is defined as the average signal power across the band of interest. It is conventionally modeled through the power law (single or dual slope) as a function of TX-RX distance. We have extended this model as a function of the number of walls between the transmitter and receiver to ensure a better fit. The frequency parameter has been introduced recently in UWB channel modeling (UWB frequency-dependence model) in relation to the strong presence of frequency fading across such a wide band. While the 700-800 MHz band is relatively flat by all measures, modeling any observed phenomena, such as the peak around 780 MHz observed in the frequency response below, enables a better characterization of any sub-band.

Temporal model

The temporal response lends readily to channel characterization and parameterization as it exhibits more descriptive features than the frequency response. In order to generate it from the latter, we opted to use super-resolution techniques over conventional Fourier methods due to their accuracy and reliably in isolating the arrivals for a100 MHz bandwidth. The figure in the sequel shows the temporal response generated from the measured frequency response above.

Our temporal model is based upon the Saleh-Valenzuela model (S-V model), where the arrivals are grouped into clusters. Once the arrivals are indexed according to delay and amplitude, we visually decomposed them into clusters. We observed one to five clusters in the temporal responses: the first cluster typically exhibits an exponential rise due to the non line-of-sight conditions, while the subsequent clusters exhibit exponential decays. In all, the model features four main parameters:

  1. cluster decay parameter: this parameter models the exponential decay of the cluster envelope;
  2. cluster delay parameter: this parameter models the temporal separation between neighboring clusters;
  3. arrival decay parameter: this parameter models the exponential decay of the arrival envelope within a single cluster;
  4. arrival decay parameter: this parameter models the temporal separation between neighboring arrivals within a single cluster.

Forthcoming measurements

In the near future, we have considered enhancing the measurements to date with a richer database, with focus on the urban-canyon environment. We invite feedback on the following factors:

Environment type

  • Building type:
    • residential / high-rise / stadium / oil refinery / grocery store
    • construction material
    • number of floors
  • metropolitan / rural

Channel conditions

  • indoor – indoor / outdoor – outdoor / indoor – outdoor
  • line-of-sight / non line-of-sight
  • TX height, location (building / roof)
  • TX mobile / stationary
  • vacant / non-vacant

Antenna type

  • directional / omni-directional
  • single element / array (size, shape, number of elements)
  • TX power, RX sensitivity
  • polarization

Forthcoming channel model

Once a new set of channel measurements is available, we intend to formulate a more complete channel model from it. We seek from the user community potential applications of this model beyond channel reconstruction, such as:

MIMO applications

Replacing the single element of the transmitter and/or receiver with an antenna array could feed into the forthcoming model for Multiple-Input Multiple-Output (MIMO) applications. This would enhance the number of channels available between elements of the TX-RX taken pairwise to investigate channel diversity or small-scale fading. Otherwise the responses from the elements could be synthesized collectively to generate a spatial-temporal response which indexes the arrivals according to both time and angle in a two-dimensional profile.

Mobile applications

Doppler spread is a feature that could be included in a forthcoming channel model to use for mobile applications. In particular, it would be interesting to know the sorts of applications and the maximum speed of the transmitter (mobile station).

Location applications

Besides time-of-arrival extraction, it may be interesting to generate statistics on angle-of-arrival as well, in particular for location systems based on angle, or in combination with time-of-arrival for location systems based on joint time and angle (Joint range-angle system).


Camillo Gentile
Emerging and Mobile Network Technologies Group
Nada Golmie
Emerging and Mobile Network Technologies Group