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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Sheffield : A - Electronic and Electrical Engineering

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Output 34 of 122 in the submission

Article title

Approximations of EESM Effective SNR Distribution

Type

D - Journal article

DOI

10.1109/TCOMM.2011.011811.100056

Title of journal

IEEE Transactions on Communications

Article number

Volume number

Issue number

First page of article

603

ISSN of journal

00906778

Year of publication

2011

URL

Number of additional authors

Additional information

The PDF (Probability Density Function) or CDF (Cumulative Distribution Function) of the effective Signal to Noise Ratio is an important statistical metric in the performance analysis of an OFDMA system using Exponential Effective SNR Mapping (EESM). However, the exact closed form of PDF is extremely difficult to obtain. In this paper, approximations by various distributions are studied, and the results produce a fast and accurate approximation of PDF and CDF of EESM. This is the first paper ever to derive EESM PDF and CDF approximations. This method is implemented in Ranplan's world leading iBuildNet wireless signal performance tool.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract