154 research outputs found
Multicarrier Waveform Harmonization and Complexity Analysis for an Efficient 5G Air Interface Implementation
[EN] The coexistence of multiple air interface variants in the upcoming fifth generation (5G) wireless technology remains a matter of
ongoing discussion. This paper focuses on the physical layer of the 5G air interface and provides a harmonization solution for the
joint implementation of several multicarrier waveform candidates. Waveforms based either on cyclic prefix-orthogonal frequency
division multiplexing (CP-OFDM) or on filter bank multicarrier (FBMC) are first presented through a harmonized system
model. Complexity comparisons among five different waveforms are provided. Then, the complexity of a proposed configurable
hardware implementation setup for waveform transmission and reception is evaluated. As a result, the harmonized transmitter and
receiver exhibit 25¿40% and 15¿25% less complexity in floating-point operations, respectively, in comparison to two standalone
implementations of the most complex waveform instances of the CP-OFDM and FBMC families. This highlights the similarities
between both families and illustrates the component reuse advantages associated with the proposed harmonized solution.This work was performed in the framework of the H2020 Project METIS-II with reference 671680, which is partly funded by the European Union. The authors would like to acknowledge the contributions of their colleagues in METIS-II. This work was also supported in part by the Ministerio de Economia y Competitividad, under Grant TEC2014-60258-C2-1-R.Garcia-Roger, D.; Roger Varea, S.; Flores De Valgas, J.; Monserrat, JF. (2017). Multicarrier Waveform Harmonization and Complexity Analysis for an Efficient 5G Air Interface Implementation. Wireless Communications and Mobile Computing. 2017:1-11. https://doi.org/10.1155/2017/9765614S111201
The impact of M-ary rates on various quadrature amplitude modulation detection
The 5G system-based cognitive radio network is promised to meet the requirements of huge data applications with spectrum. However, the M-ary effect on the detection has not been thoroughly investigated. In this paper, an M-ary of quadrature amplitude modulation detection system is studied. Many rates are used in this study 4, 16, 64, and 256 constellation points. The detection system is applied to cooperative spectrum sensing to enhance the performance of detection for various rates of M-ary with low signal-to-noise ratio (SNR). Further, three kinds of signals based 5G system are sensed: filtered-orthogonal frequency division multiplexing (F-OFDM), filter bank multi-carrier (FBMC), and universal filtered multi-carrier (UFMC). The best detection performance is obtained when the M-ary=4 and number of SUs=50 user, whereas the worst detection performance is obtained when the M-ary=256 and number of SUs=10 user, as revealed in the simulation results. In addition, the detection performance for the F-OFDM signal is better than that of UFMC and FBMC signals for SNR <0 dB
Waveform Design for 5G and Beyond
5G is envisioned to improve major key performance indicators (KPIs), such as
peak data rate, spectral efficiency, power consumption, complexity, connection
density, latency, and mobility. This chapter aims to provide a complete picture
of the ongoing 5G waveform discussions and overviews the major candidates. It
provides a brief description of the waveform and reveals the 5G use cases and
waveform design requirements. The chapter presents the main features of cyclic
prefix-orthogonal frequency-division multiplexing (CP-OFDM) that is deployed in
4G LTE systems. CP-OFDM is the baseline of the 5G waveform discussions since
the performance of a new waveform is usually compared with it. The chapter
examines the essential characteristics of the major waveform candidates along
with the related advantages and disadvantages. It summarizes and compares the
key features of different waveforms.Comment: 22 pages, 21 figures, 2 tables; accepted version (The URL for the
final version:
https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch2
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