Uplink Sum-Rate and Power Scaling Laws for Multi-User Massive MIMO-FBMC Systems

Abstract

This paper analyses the performance of filter bank multicarrier (FBMC) signaling in conjunction with offset quadrature amplitude modulation (OQAM) in multi-user (MU) massive multiple-input multiple-output (MIMO) systems. Initially, closed form expressions are derived for tight lower bounds corresponding to the achievable uplink sum-rates for FBMC-based single-cell MU massive MIMO systems relying on maximum ratio combining (MRC), zero forcing (ZF) and minimum mean square error (MMSE) receiver processing with/without perfect channel state information (CSI) at the base station (BS). This is achieved by exploiting the statistical properties of the intrinsic interference that is characteristic of FBMC systems. Analytical results are also developed for power scaling in the uplink of MU massive MIMO-FBMC systems. The above analysis of the achievable sum-rates and corresponding power scaling laws is subsequently extended to multi-cell scenarios considering both perfect as well as imperfect CSI, and the effect of pilot contamination. The delay-spread-induced performance erosion imposed on the linear processing aided BS receiver is numerically quantified by simulations. Numerical results are presented to demonstrate the close match between our analysis and simulations, and to illustrate and compare the performance of FBMC and traditional orthogonal frequency division multiplexing (OFDM)-based MU massive MIMO systems.

Uplink sum rate analysis of multi‐user massive MIMO–OFDM/OQAM systems in Ricean fading

“…An uplink of a single-cell massive MIMO-OFDM/OQAM system is considered with N subcarriers and U single-antenna users transmitting their signal in the same time-frequency resources to a BS equipped with an array of L antennas, where 1 < U ≪ L. For a relatively low-frequency selective channel, the demodulated signal y m , n l at the frequency-time index (m , n) on the lth antenna of the BS is obtained as [19,Eq. (7)]…”

“…Rottenberg et al [18] analysed the performance of OFDM/OQAM-based massive MIMO systems in terms of the mean squared error relying on the linear receiver processing at the BS. Recently, Singh et al [19] derived uplink sum rates for single-and multi-cell OFDM/ OQAM-based massive MIMO systems assuming Rayleigh fading channel. While this assumption simplifies all mathematical manipulations, more general fading models need to be considered to capture the fading variations when there exists a line of sight (LOS) component between the transmitter and receiver.…”

“…• Exploiting the second-order statistical characteristics of the intrinsic interference in OFDM/OQAM, this work derives the achievable uplink sum rates for single-cell multi-user (MU) massive MIMO-OFDM/OQAM systems over Ricean fading channels relying on the maximum-ratio combining (MRC) and zero-forcing (ZF) receivers at the BS in the presence of imperfect CSI. This is unlike [19], wherein a Rayleigh fading channel is considered for the uplink of massive MIMO-OFDM/OQAM systems. Furthermore, contrary to [17,18], which rely on the assumption of perfect receive CSI, this work considers a realistic scenario of imperfect CSI.…”

Phase Noise Compensation for CFBMC–OQAM Systems Under Imperfect Channel Estimation

“…In practice, to perform the channel equalization task, the channel state information has to be first estimated based on the transmission of either pilots or preambles as in [16]- [18] for OFDM, and [19]- [22] for FBMC-OQAM, and [23], [24] for GFDM. However, to the best of our knowledge, all studies on CFBMC-OQAM assume that the channel frequency response is perfectly known for the equalization task [12], [15] and thus the bit-error rate (BER) performance of CFBMC-OQAM is equivalent to that of OFDM under the same system configuration.…”

Evaluation and Analysis of FBMC/OQAM Systems Based on Pulse Shaping Filters

“…While the PF is the key to the FBMC/OQAM communication system, choosing well-localized filters in the time and frequency domains is desirable to enhance MIMO FBMC/OQAM [63]. Recently, the use of FBMC/OQAM transmission has been extended to both MIMO and massive MIMO systems [64].…”