This article covers the potential of Filter Bank Multicarrier (FBMC) modulation to be used in the future 5G wireless networks where Massive Multiple-Input Multiple-Output (MIMO) will be deployed. The study compares orthogonal frequency division multiplexing (OFDM) with FBMC. The former is the multiplexing technique in 4G communications and the latter is one of the strongest candidates to replace OFDM in 5G networks. This comparison evaluates the spectral efficiency (SE) of a massive MIMO (MM) system uplink under a singlecell environment. Due to the absence of the cyclic prefix, the FBMC has better SE than the OFDM as the signal-to-noise-ratio (SNR) increases. However, to the best of the authors' knowledge, this study has not yet been conducted under a MM scenario. In summary, this article presents an analysis of SE of FBMC considering a MM setup. While limiting the modulation to 64-Quadrature Amplitude Modulation (QAM) per sub carrier, it was observed that as the SE increases, the required number of antennas for the OFDM becomes the double or the triple of the counterpart using FBMC, or even it is not achieved by the OFDM.
This article covers the potential of Filter Bank Multicarrier (FBMC) modulation as an alternative to be used in the future 5G wireless networks in which Massive Multiple-Input Multiple-Output (MIMO) will be deployed. The study compares orthogonal frequency division multiplexing (OFDM) with FBMC. The former is the multiplexing technique in 4G communications and the latter is one of the strongest candidates to replace OFDM in 5G networks. This comparison evaluates the spectral efficiency (SE) of a Massive MIMO (MM) system uplink under a single-cell environment. The diversity in MM permits a self-equalization of the channel, which the FBMC further benefits from, due to the confinement of the subcarrier in an assigned range. Due to the absence of the cyclic prefix, the FBMC has better SE than the OFDM for increasing signal-to-noise-ratio (SNR). One may find a scarce literature covering the FBMC in a large-scale multiuser MIMO scenario, which considers a large number of antennas at the base station (BS). Various scenarios are considered by varying the number of antennas, users and different cell radius. Moreover, the subcarrier modulations are simulated, and not considered Gaussian distributed, as in Shannon limit theory. In some cases, the FBMC allows doubling the cell radius for the same SE value of 3.8 bits/s/Hz/user. For a fixed cell radius of 750m and a SE of 3.5 bits/s/Hz/user, the OFDM requires three times more antennas than FBMC when both modulations are under the same conditions.
This paper presents a novel method for analyzing the analog specifications of bandpass sampling (BPS) receivers. The method guarantees fast convergence to the required performance and can be exploited to study the best configurations for a given constraint (eg. power, integration) using different noise degradation distributions. A wide-band system-level simulation tool which separately models each degradation source is developed to validate the method.
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