Bit Error Rate Performance of Generalized Frequency Division Multiplexing

Michailow, Nicola; Krone, Stefan; Lentmaier, Michael; Fettweis, Gerhard

doi:10.1109/vtcfall.2012.6399305

Cited by 120 publications

(79 citation statements)

References 3 publications

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“…This is because the MMSE scheme produces no inherent noise enhancement. It is important to note that similar observations were also highlighted within a recent study found in [19].…”

Section: Detection Performance With Mmse-based Gfdm Receiversupporting

confidence: 89%

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Selective Control Information Detection in 5G Frame Transmissions

Adegbite¹,

Stewart²

2016

Towards 5G Wireless Networks - A Physical Layer Perspective

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Control signalling information within wireless communication systems facilitates efficient management of limited wireless resources, plays a key role in improving system performance of 5G systems. This chapter focuses detection of one particular form of control information, namely, selective control information (SCI). Maximum-likelihood (ML) is one of the conventional SCI detection techniques. Unfortunately, it requires channel estimation, which introduces some implementation constraints and practical challenges. This chapter uses generalized frequency division multiplexing (GFDM) to evaluate and demonstrate the detection performance of a new form of SCI detection that uses a time-domain correlation (TDC) technique. Unlike the ML scheme, the TDC technique is a form of blind detection that has the capability to improve detection performance with no need for channel estimation. In comparison with the ML based receiver, results show that the TDC technique achieves improved detection performance. In addition, the detection performance of the TDC technique is improved with GFDM receivers that use the minimum mean square error (MMSE) scheme compared with the zero-forcing (ZF) technique. It is also shown that the use of a raised cosine (RC) shaped GFDM transmit filter improves detection performance comparison with filters that employ root raised cosine (RRC) pulse shape.

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“…This is because the MMSE scheme produces no inherent noise enhancement. It is important to note that similar observations were also highlighted within a recent study found in [19].…”

Section: Detection Performance With Mmse-based Gfdm Receiversupporting

confidence: 89%

“…(19), the magnitudes of Z u result in an impulse function in a similar manner to an auto-correlation function. Hence, the magnitude z u ½w (derived from Z u ) can be approximated to…”

Section: Tdc Decision Criterionmentioning

confidence: 96%

Selective Control Information Detection in 5G Frame Transmissions

Adegbite¹,

Stewart²

2016

Towards 5G Wireless Networks - A Physical Layer Perspective

View full text Add to dashboard Cite

show abstract

“…Three common linear receivers, i.e., zero-forcing (ZF), matched filter (MF), and minimum mean square error (MMSE) receivers, are evaluated for the receiver side of GFDM. Among GFDM linear receivers, GFDM MMSE receiver yields the lowest error rate at the cost of the highest complexity which makes it unusable for many applications [10]. Therefore, matched filter (MF) receiver in combination with the double-side successive interference cancellation (DSIC) algorithm is used instead to provide a trade-off between computational complexity and bit error rate (BER) performance [11].…”

Section: Introductionmentioning

confidence: 99%

Optimum low complexity filter bank for generalized orthogonal frequency division multiplexing

Abbaszadeh

Khalaj

Haghbin

2018

J Wireless Com Network

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Generalized frequency division multiplexing (GFDM) is one of the multicarrier modulation candidates proposed for the 5th generation of wireless networks. Among GFDM linear receivers, GFDM MMSE receiver achieves the best error performance for multipath fading channels at the cost of high numerical complexity. Hence, the combination of GFDM match filter (MF) receiver and double-side successive interference cancellation (DSIC) method is used instead. However, there is a significant gap between the error performance of GFDM MMSE and DSIC/MF receivers for the case of employing modern channel coding. Recently, we have proposed a new multicarrier scheme based on GFDM architecture called generalized orthogonal frequency division multiplexing (GOFDM). This study derives an optimized cyclic tree-structured perfect reconstruction-quadrature mirror filter (PR-QMF) bank for GOFDM transceiver and then introduces a novel method for implementation of the optimum filter bank in the frequency domain. Employing such a fast and optimum filter bank provides several advantages for GOFDM transceiver. GOFDM transmitter mitigates out-of-band spectrum leak to the level of that of GFDM. In addition, choosing an appropriate configuration of filter bank yields lower peak to average power ratio in transmit signal of GOFDM compared to that of OFDM. On the other hand, while GOFDM MMSE receiver has lower numerical complexity compared with GFDM DSIC/MF receiver, its coded bit error rate curve is close to that of GFDM MMSE receiver. The aforementioned advantages envision GOFDM as a competitive candidate to be employed in the physical layer of new wireless applications.

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“…FBMC (Filter Bank Multicarrier) [1], UFMC (Universal Filtered Multicarrier) [2], GFDM (Generalized Frequency Multicarrier Multiplexing) [3,4] and so on are examples of these so called "New Waveforms". Since these schemes have less OOB (out-of-band) emissions in general, more efficient spectrum usage is expected.…”

Section: Introductionmentioning

confidence: 99%

“…However in this paper, in order to reduce the interference to OFDM signal and to match the definition in generating OFDM signal, Eq. (3) is used as defined in [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the interference from GFDM to OFDM signals in same band

2017

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This paper focuses the interference from GFDM signal to already-existing OFDM signal when both signals coexist in same band, considering some migration scenario from 4G to 5G mobile system. After defining system model, the mathematical expression is derived theoretically and numerically verified by computer simulation. This mathematical expression indicates that the time difference does not affect the cross-correlation between GFDM and OFDM symbols, and that the interference decreases approximately by square of subcarrier interval between those symbols. Derived formula can be used not only for the interference evaluation in various configurations, but also for designing the waveform filter of GFDM.

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Bit Error Rate Performance of Generalized Frequency Division Multiplexing

Cited by 120 publications

References 3 publications

Selective Control Information Detection in 5G Frame Transmissions

Selective Control Information Detection in 5G Frame Transmissions

Optimum low complexity filter bank for generalized orthogonal frequency division multiplexing

Analysis of the interference from GFDM to OFDM signals in same band

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