A practical system for improved efficiency in frequency division multiplexed wireless networks

TL;DR

This paper introduces a practical SEFDM system that enhances spectral efficiency in wireless networks by simplifying transmitter and receiver design, achieving up to 20% efficiency gains with minimal SNR impact.

Contribution

It proposes new transmitter and receiver architectures for SEFDM treating it as overlapped OFDM systems, reducing complexity and interference issues.

Findings

Achieves up to 20% spectral efficiency improvement.

Decoder performs close to theoretical optimal in simulations.

System maintains low error rates with negligible SNR impact.

Abstract

Spectral efficiency is a key design issue for all wireless communication systems. Orthogonal frequency division multiplexing (OFDM) is a very well-known technique for efficient data transmission over many carriers overlapped in frequency. Recently, several papers have appeared which describe spectrally efficient variations of multi-carrier systems where the condition of orthogonality is dropped. Proposed techniques suffer from two weaknesses: Firstly, the complexity of generating the signal is increased. Secondly, the signal detection is computationally demanding. Known methods suffer either unusably high complexity or high error rates because of the inter-carrier interference. This work addresses both problems by proposing new transmitter and receiver arch itectures whose design is based on using the simplification that a rational Spectrally Efficient Frequency Division Multiplexing (SEFDM) system can be treated as a set of overlapped and interleaving OFDM systems. The efficacy of the proposed designs is shown through detailed simulation of sys tems with different signal types and carrier dimensions. The decoder is heuristic but in practice produces very good results which are close to the theoretical best performance in a variety of settings. The system is able to produce efficiency gains of up to 20% with negligible impact on the required signal to noise ratio.