Work

Importance sampling for the random phase Gaussian channel

Year: 2001

Type: article

Abstract: Importance sampling (IS) is developed as a variance reduction technique for Monte Carlo simulation of data communications over random phase additive white Gaussian noise channels. The binary problem (with known performance) is examined initially to determine parameter values and estimate the performance gain of IS. These results can then be applied to intractable m-ary signaling problems through composite IS. An example compares the performance of linear, square-law, and optimum receivers for binary block coded data.

Source: IEEE Transactions on Communications

DOI: 10.1109/26.923795

Authors: P.E. Swaszek, P.J. Levine

Institution: University of Rhode Island

Language: English

Topic: Advanced Wireless Communication Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2098549586

FWCI:

Cites: 8

Cited by: 1

Related to: 10