Spectral Efficiency Analysis of Filter Bank Multi‐Carrier (FBMC)‐ Based 5G Networks with Estimated Channel State Information (CSI)

Zhang, Haijian; Lv, Hengwei; Li, Pandong

doi:10.5772/66057

Cited by 6 publications

(4 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UFMC, like f-OFDM and FBMC, is a filtered multi-carrier modulation scheme that uses specially designed filters to reduce OOBE. It inherits all of the benefits of FBMC and OFDM while eliminating the disadvantages [53]. Instead of single sub-carriers as in FBMC or the entire band as in f-OFDM, UFMC filters chunks of continuous sub-carriers [45].…”

Section: Universal Filtered Multi-carriermentioning

confidence: 99%

Multi-Carrier Waveforms and Multiple Access Strategies in Wireless Networks: Performance, Applications, and Challenges

et al. 2022

View full text Add to dashboard Cite

Current generation mobile communications require high-quality services. Adopting multiple access (MA) and multi-carrier waveforms potentially enhances the quality of services offered to end-users. However, in most literature, the integration of multi-carrier and multiple-access approaches have not been extensively examined. One possible solution is to review multiple access and multi-carrier waveforms simultaneously to create a favorable foundation for the integration of these schemes. Thus, we consider a comprehensive review of multiple-access systems and multi-carrier waveforms jointly from 1 st to 5 th -generation (1G-5G) cellular networks. Initially, we present orthogonal MA (OMA) schemes called: frequency division multiple access (FDMA), time division multiple access (TDMA), code division multiple access (CDMA), and orthogonal division multiple access (OFDMA) that have been utilized in 1G, 2G, 3G, and 4G respectively. In addition, 5G wireless non-orthogonal multiple access (NOMA) techniques such as power domain NOMA (PD-NOMA), code domain NOMA (CD-NOMA), and other NOMA multiplexing methods are addressed in detail. On the other hand, we glanced at 5G cellular multi-carrier waveforms such as filter bank multi-carrier (FBMC), universal filtered multi-carrier (UFMC), generalized frequency division multiplexing (GFDM), and filtered orthogonal frequency division multiplexing (f-OFDM) waveforms. The assessment and comparison between different OMA, NOMA, and multi-carrier waveforms are carried out with the parameters: modulation schemes, BER, SNR, sum rate, peak-to-average power ratio (PAPR), latency, out of band emission (OOBE), and complexity. The analytical formulas of OMA, NOMA, and multi-carrier waveform schemes are also derived and verified using simulation data. Each multiple access strategy's merits, shortcomings, applications, and factors influencing its performance are also addressed. Eventually, possible recommendations for the integration of multiple-access and modulation technologies for nextgeneration mobile networks are also included.

show abstract

Section: Universal Filtered Multi-carriermentioning

confidence: 99%

Multi-Carrier Waveforms and Multiple Access Strategies in Wireless Networks: Performance, Applications, and Challenges

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The well-known discrete multi-tone (DMT) modulation and discrete wavelet multi-tone (DWMT) modulation reported in the 1990s are two specific cases of FBMC modulation [93]. Currently, FBMC based systems have been extensively studied from the aspects of spectrum efficiency analysis [94][95][96], system complexity analysis [97], prototype filter design [98][99][100][101], frequency offset estimation [102,103], MIMO [104][105][106], and so forth. Ever-emerging research projects investigate the application of FBMC modulation in practical scenarios, for example, PHYDYAS [107], METIS [108], 5GNOW [109].…”

Section: Fbmcmentioning

confidence: 99%

An Overview of FIR Filter Design in Future Multicarrier Communication Systems

et al. 2020

Self Cite

View full text Add to dashboard Cite

Future wireless communication systems are facing with many challenges due to their complexity and diversification. Orthogonal frequency division multiplexing (OFDM) in 4G cannot meet the requirements in future scenarios, thus alternative multicarrier modulation (MCM) candidates for future physical layer have been extensively studied in the academic field, for example, filter bank multicarrier (FBMC), generalized frequency division multiplexing (GFDM), universal filtered multicarrier (UFMC), filtered OFDM (F-OFDM), and so forth, wherein the prototype filter design is an essential component based on which the synthesis and analysis filters are derived. This paper presents a comprehensive survey on the recent advances of finite impulse response (FIR) filter design methods in MCM based communication systems. Firstly, the fundamental aspects are examined, including the introduction of existing waveform candidates and the principle of FIR filter design. Then the methods of FIR filter design are summarized in details and we focus on the following three categories—frequency sampling methods, windowing based methods and optimization based methods. Finally, the performances of various FIR design methods are evaluated and quantified by power spectral density (PSD) and bit error rate (BER), and different MCM schemes as well as their potential prototype filters are discussed.

show abstract

“…• A practical energy-efficient multi-cell RA problem in CR-enabled 5G systems is formulated. In practice, the interference between the primary system and the secondary cells actually exists due to the spectral leakage; thus, the interference vectors in [27][28][29][30] are employed in the proposed RA formulation. To the best of our knowledge, there are few works which consider the quantified interference vectors to formulate the objective function and its corresponding constraints in 5G resource allocation problem.…”

Section: Contributionsmentioning

confidence: 99%

“…In order to compute the interference I ps , we resort to the interference vector model for quantifying the asynchronization transmission interference between primary and secondary systems. The interference vectors of different candidate waveforms in 5G are shown in Table 1, where the value of the cases of perfect synchronization (PS), OFDM, and FBMC is cited from [27] while the value of the cases of UFMC and GFDM is cited from [30]. Supposing that a single complex symbol is transmitted with unit power and unit channel gain in a subcarrier, each element of one interference vector corresponds to the quantity of the out of band radiation, i.e., V means the spilled power from the interferer subcarrier with unit power and unit channel gain to the victim subcarrier.…”

Section: System Modelmentioning

confidence: 99%

Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems

Yan

et al. 2019

EURASIP J. Adv. Signal Process.

Self Cite

View full text Add to dashboard Cite

In this paper, we propose an energy-efficient resource allocation (RA) algorithm in cognitive radio-enabled 5th generation (5G) systems, where the scenario including one primary system and multiple secondary cells is considered. Because of the high spectrum leakage of traditional orthogonal frequency division multiplexing (OFDM), alternative modulation schemes regarded as the potential air interfaces in 5G are analyzed, e.g., filter bank-based multi-carrier (FBMC), generalized frequency division multiplexing (GFDM), and universal filtered multi-carrier (UFMC). Our objective is to maximize the whole energy efficiency of secondary system defined by the ratio of the capacity to the total power consumption subject to some practical constraints. The general formulation leads to a non-convex mixed-integer nonlinear programming problem with fractional structure, which is challenging to solve due to its intractability and significant complexity. Therefore, we resort to an alternate optimization framework to optimize the variables of subcarrier assignment and power allocation, where successive convex approximation (SCA) is employed so that the general formulation is finally transformed into a solvable convex problem. Numerical results validate the effectiveness of the proposed RA algorithm, and the comparison with some existing RA algorithms is conducted. In addition, the performance of using different 5G candidate waveforms in the energy-efficient RA algorithm is also presented and discussed.

show abstract

Spectral Efficiency Analysis of Filter Bank Multi‐Carrier (FBMC)‐ Based 5G Networks with Estimated Channel State Information (CSI)

Cited by 6 publications

References 52 publications

Multi-Carrier Waveforms and Multiple Access Strategies in Wireless Networks: Performance, Applications, and Challenges

Multi-Carrier Waveforms and Multiple Access Strategies in Wireless Networks: Performance, Applications, and Challenges

An Overview of FIR Filter Design in Future Multicarrier Communication Systems

Energy-efficient multi-cell resource allocation in cognitive radio-enabled 5G systems

Contact Info

Product

Resources

About