Abstract

This paper presents a complete link level abstraction model for link quality estimation on the system level of filter bank multicarrier (FBMC)-based networks. The application of mean mutual information per coded bit (MMIB) approach is validated for the FBMC systems. The considered quality measure of the resource element for the FBMC transmission is the received signal-to-noise-plus-distortion ratio (SNDR). Simulation results of the proposed link abstraction model show that the proposed approach is capable of estimating the block error rate (BLER) accurately, even when the signal is propagated through the channels with deep and frequent fades, as it is the case for the 3GPP Hilly Terrain (3GPP-HT) and Enhanced Typical Urban (ETU) models. The FBMC-related results of link level simulations are compared with cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) analogs. Simulation results are also validated through the comparison to reference publicly available results. Finally, the steps of link level abstraction algorithm for FBMC are formulated and its application for system level simulation of a professional mobile radio (PMR) network is discussed.

Highlights

  • Orthogonal frequency division multiplexing (OFDM) is the dominant high data rate telecommunications physical layer (PHY) technology used by, among others, IEEE 802.11a/g (WiFi) [1], IEEE 802.16 (WiMAX) [2,3], and 3GPP Long Term Evolution (LTE) [4]

  • The quality measure of the resource element that we propose to consider for the filter bank multicarrier (FBMC) transmission is the received signal-to-noise-plus-distortion ratio (SNDR)

  • The simulation results have shown that conditional LLR distributions do not differ for cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) and FBMC transmission techniques in additive white Gaussian noise (AWGN) channel

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Summary

Introduction

Orthogonal frequency division multiplexing (OFDM) is the dominant high data rate telecommunications physical layer (PHY) technology used by, among others, IEEE 802.11a/g (WiFi) [1], IEEE 802.16 (WiMAX) [2,3], and 3GPP Long Term Evolution (LTE) [4]. Widespread adoption of OFDM is motivated by factors like efficient signal processing based on the fast Fourier transform (FFT), robustness in frequency selective channels, simple equalization, etc. OFDM might not be an optimal solution in future wireless networks due to its inherent limitations. One of the objectives of future wireless communication systems is to utilize fragmented spectrum efficiently. Professional mobile radio (PMR) networks occupy a number of narrow frequency bands (mainly allocated in the 410 to 430 MHz band in the European Union) allocated to public service and safety professionals according to the TETRA [5] and Tetrapol [6] standards. It would be greatly beneficial to deploy broadband data communication services within the spectrum currently

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