Reducing Inter-user Interference: Precoding over OFDM for Enhanced MTC

TL;DR

This paper proposes a precoding technique using prolate spheroidal sequences to reduce inter-symbol interference in OFDM-based multi-user systems, improving resource separation in 4G/5G MTC scenarios.

Contribution

It introduces a novel precoding method transforming OFDM waveforms into prolate spheroidal sequences to minimize ISI under strict frequency confinement.

Findings

Analytical bounds on ISI are derived.

Simulation results confirm reduced ISI with the proposed precoder.

Enhanced resource separation in multi-user OFDM systems.

Abstract

In the physical layer (PHY) of modern cellular systems, information is transmitted as a sequence of resource blocks (RBs) across various domains with each resource block limited to a certain time and frequency duration. In the PHY of 4G/5G systems, data is transmitted in the unit of transport block (TB) across a fixed number of physical RBs based on resource allocation decisions. Using sharp band-limiting in the frequency domain can provide good separation between different resource allocations without wasting resources in guard bands. However, using sharp filters comes at the cost of elongating the overall system impulse response which can accentuate inter-symbol interference (ISI). In a multi-user setup, such as in Machine Type Communication (MTC), different users are allocated resources across time and frequency, and operate at different power levels. If strict band-limiting separation is used, high power user signals can leak in time into low power user allocations. The ISI extent, i.e., the number of neighboring symbols that contribute to the interference, depends both on the channel delay spread and the spectral concentration properties of the signaling waveforms. We hypothesize that using a precoder that effectively transforms an OFDM waveform basis into a basis comprised of prolate spheroidal sequences (DPSS) can minimize the ISI extent when strictly confined frequency allocations are used. Analytical expressions for upper bounds on ISI are derived. In addition, simulation results support our hypothesis.