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Available online at www.sciencedirect.com ScienceDirect ICT Express 1 (2015) 138–142 www.elsevier.com/locate/icte Tx scenario analysis of FBMC based LDM system Soonki Jo, Jong-Soo Seo Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea Received 28 August 2015; accepted 9 November 2015 Available online 23 November 2015 Abstract Filter bank multiple carrier (FBMC) technology is one of the alternative solutions for multicarrier modulation. FBMC does not need cyclic prefix (CP) and guard band utilized for orthogonal frequency division multiplexing (OFDM) and CP and guard band cause loss of spectral efficiency. FBMC features offset QAM (OQAM) and band-limited filtering on each subcarrier, which eliminate the need of CP and guard band. FBMC filtering could maintain the orthogonality in a real signal domain by using well localized filter. Meanwhile layer division multiplexing (LDM) is also introduced to increase the spectral efficiency. In LDM, low density parity check (LDPC) coded multi signals are transmitted simultaneously with different power levels in same frequency band and these signals form signal layers. Combination of FBMC and LDM techniques can maximize the spectral efficiency. In this paper, LDM system which adopts FBMC is proposed. The LDM system has both OFDM and FBMC modulated layers. To apply FBMC to LDM system, log-likelihood ratio (LLR) calculation scheme for FBMC is needed for LDPC decoding. Three scenarios for LDM system are considered and BER performance of each scenario is analyzed to find proper scenario. c 2015 The Korean Institute of Communications Information Sciences. Production and Hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Keywords: FBMC; LDM; LDPC; LLR 1. Introduction Filter bank multicarrier (FBMC) is proposed [1] for alter- native solution of multicarrier modulation such as orthogo- nal frequency division multiplexing (OFDM). FBMC does not need cyclic prefix (CP) and guard interval due to filtering on each subcarrier [2]. In FBMC, Offset-QAM (OQAM) is used because orthogonality of filter is satisfied in real domain. In OQAM, real and imaginary parts of QAM symbols are trans- mitted separately. Therefore FBMC can achieve high spectral efficiency [3]. As using well localized waveforms in time and frequency domain, the single channel coefficient per subcarrier equalizer structure can be considered. Another candidate technology for achieving high data rate, termed as cloud transmission network (Cloud-Txn) with layer division multiplexing (LDM) was proposed [4]. LDM is a sim- ilar technique with non-orthogonal multiple access (NOMA) Corresponding author. E-mail addresses: [email protected] (S. Jo), [email protected] (J.-S. Seo). Peer review under responsibility of The Korean Institute of Communica- tions Information Sciences. This paper is part of a special issue entitled “Next Generation (5G/6G) Mobile Communications” guest-edited by Prof. Jungwoo Lee, Dr. Sumei Sun, Prof. Huaping Liu, Prof. Seong-Lyun Kim and Prof. Wan Choi. but, the LDM focuses more on multiplexing than multiple ac- cess. Multiple signals are transmitted simultaneously on the same frequency with different power. Each signal delivers dif- ferent service. For example in a 2-layer LDM system, the upper layer delivers mobile services and the lower layer is used to serve (U)HDTV. This system operates with strong forward er- ror correction (FEC) coding, such as low density parity check (LDPC) code. FBMC and LDM are techniques which can increase the spectral efficiency. FBMC does not require CP and guard band, and LDM uses frequency band with superposing signals. The combination of these two techniques can achieve maximum spectral efficiency, however, FBMC application to LDM system has not been researched, so far. And also, proper transmission scenario for this application has not been introduced. In this paper, LDM system which adopts FBMC is proposed. Proposed LDM system is two layered system which has both FBMC and OFDM layers, and three transmission scenarios are considered. (1) FBMC over OFDM, (2) OFDM over FBMC and (3) FBMC over FBMC. In the scenarios 1 and 2, OFDM layer is considered as conventional service signal and FBMC signal layer is added. In the scenario 3, both layers consist of FBMC signals. To insert FBMC layer in LDM system, FBMC sig- nal should be decoded with LDPC code. So we also introduce log-likelihood ratio (LLR) calculation method for FBMC [5]. http://dx.doi.org/10.1016/j.icte.2015.11.001 2405-9595/ c 2015 The Korean Institute of Communications Information Sciences. Production and Hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Page 1: Tx scenario analysis of FBMC based LDM system · In LDM, low density parity check (LDPC) coded multi signals are transmitted simultaneously with different power levels in same frequency

Available online at www.sciencedirect.com

ScienceDirectICT Express 1 (2015) 138–142

www.elsevier.com/locate/icte

Tx scenario analysis of FBMC based LDM system✩

Soonki Jo, Jong-Soo Seo∗

Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea

Received 28 August 2015; accepted 9 November 2015Available online 23 November 2015

Abstract

Filter bank multiple carrier (FBMC) technology is one of the alternative solutions for multicarrier modulation. FBMC does not need cyclicprefix (CP) and guard band utilized for orthogonal frequency division multiplexing (OFDM) and CP and guard band cause loss of spectralefficiency. FBMC features offset QAM (OQAM) and band-limited filtering on each subcarrier, which eliminate the need of CP and guard band.FBMC filtering could maintain the orthogonality in a real signal domain by using well localized filter. Meanwhile layer division multiplexing(LDM) is also introduced to increase the spectral efficiency. In LDM, low density parity check (LDPC) coded multi signals are transmittedsimultaneously with different power levels in same frequency band and these signals form signal layers. Combination of FBMC and LDMtechniques can maximize the spectral efficiency. In this paper, LDM system which adopts FBMC is proposed. The LDM system has both OFDMand FBMC modulated layers. To apply FBMC to LDM system, log-likelihood ratio (LLR) calculation scheme for FBMC is needed for LDPCdecoding. Three scenarios for LDM system are considered and BER performance of each scenario is analyzed to find proper scenario.c⃝ 2015 The Korean Institute of Communications Information Sciences. Production and Hosting by Elsevier B.V. This is an open access article

under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: FBMC; LDM; LDPC; LLR

1. Introduction

Filter bank multicarrier (FBMC) is proposed [1] for alter-native solution of multicarrier modulation such as orthogo-nal frequency division multiplexing (OFDM). FBMC does notneed cyclic prefix (CP) and guard interval due to filtering oneach subcarrier [2]. In FBMC, Offset-QAM (OQAM) is usedbecause orthogonality of filter is satisfied in real domain. InOQAM, real and imaginary parts of QAM symbols are trans-mitted separately. Therefore FBMC can achieve high spectralefficiency [3]. As using well localized waveforms in time andfrequency domain, the single channel coefficient per subcarrierequalizer structure can be considered.

Another candidate technology for achieving high data rate,termed as cloud transmission network (Cloud-Txn) with layerdivision multiplexing (LDM) was proposed [4]. LDM is a sim-ilar technique with non-orthogonal multiple access (NOMA)

∗ Corresponding author.E-mail addresses: [email protected] (S. Jo), [email protected]

(J.-S. Seo).Peer review under responsibility of The Korean Institute of Communica-

tions Information Sciences.✩ This paper is part of a special issue entitled “Next Generation (5G/6G)

Mobile Communications” guest-edited by Prof. Jungwoo Lee, Dr. Sumei Sun,Prof. Huaping Liu, Prof. Seong-Lyun Kim and Prof. Wan Choi.

http://dx.doi.org/10.1016/j.icte.2015.11.0012405-9595/ c⃝ 2015 The Korean Institute of Communications Information Sciencthe CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

but, the LDM focuses more on multiplexing than multiple ac-cess. Multiple signals are transmitted simultaneously on thesame frequency with different power. Each signal delivers dif-ferent service. For example in a 2-layer LDM system, the upperlayer delivers mobile services and the lower layer is used toserve (U)HDTV. This system operates with strong forward er-ror correction (FEC) coding, such as low density parity check(LDPC) code.

FBMC and LDM are techniques which can increase thespectral efficiency. FBMC does not require CP and guard band,and LDM uses frequency band with superposing signals. Thecombination of these two techniques can achieve maximumspectral efficiency, however, FBMC application to LDM systemhas not been researched, so far. And also, proper transmissionscenario for this application has not been introduced.

In this paper, LDM system which adopts FBMC is proposed.Proposed LDM system is two layered system which has bothFBMC and OFDM layers, and three transmission scenarios areconsidered. (1) FBMC over OFDM, (2) OFDM over FBMC and(3) FBMC over FBMC. In the scenarios 1 and 2, OFDM layeris considered as conventional service signal and FBMC signallayer is added. In the scenario 3, both layers consist of FBMCsignals. To insert FBMC layer in LDM system, FBMC sig-nal should be decoded with LDPC code. So we also introducelog-likelihood ratio (LLR) calculation method for FBMC [5].

es. Production and Hosting by Elsevier B.V. This is an open access article under

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S. Jo, J.-S. Seo / ICT Express 1 (2015) 138–142 139

The organization of the paper is as follows. Section 2 describesFBMC modulation and system model. In Section 3, LLR calcu-lation for FBMC signal is presented. In Section 4, three LDMtransmission scenarios are proposed and bit-error rate (BER)performances of scenarios are analyzed. Finally in Section 5,we draw conclusion.

Notation. (·)∗ denotes the complex conjugate operation.

2. FBMC system

We can represent the FBMC signal at the transmitter as [1]

s[m] =

M−1k=0

n∈Z

dk,n p[m = nM/2]ej 2π

M

m−

D2

e jφk,n , (1)

where dk,n p[m] and M are real-valued transmitted OQAMsymbol, the prototype filter, and a number of subcarriers,respectively. D is the filter delay term and φk,n is an additionalphase term. k and n are indexes for subcarrier, and time instant,respectively. We can rewrite (1) as

s[m] =

M−1k=0

n∈Z

dk,n p[m]k,n, (2)

where p[m]k,n = p[m − nM/2]e j 2πM (m−

D2 )e jφk,n , which is

time and frequency shifted version of p[m]. In the receiver, thesignal in subcarrier k at time n is determined with the innerproduct of s[m] and p[m]k,n

rk′,n′ = ⟨s, pk′,n′⟩ =

+∞m=−∞

s[m]p∗[m]k′,n′

=

+∞m=−∞

M−1k=0

n∈Z

dk,n p[m]k,n p∗[m]k′,n′ . (3)

The prototype filter p[m] satisfies the real orthogonalitycondition given by [3]

Re

+∞

m=−∞

p[m]k,n p∗[m]k′,n′

= δk,k′δn,n′ . (4)

From (4), (3) can be rewritten as

rk,n = dk,n +

Ik,n : intrinsic interference k′=k

n′=n

dk′,n′

+∞m=−∞

p[m]k,n p∗[m]k′,n′ . (5)

According to the real orthogonality conditioning (4), theinterference Ik,n is imaginary term.

Let us simplify

+∞

m=−∞p[m]k,n p∗

[m]k′,n′ as cl,m [6]. Thecoefficient cl,m represents the system impulse response, and Kis the overlapping factor of the prototype filter. We use K = 4in this paper, and if dk,ne jφk,n is considered as dk,n , the maincoefficients are given in Table 1 [7]. Then, juk,n is expressedas

Ik,n =

1l=−1

2K−1m=−(2K−1)

cl,mdk+l,n+m; l, m = 0. (6)

Table 1Transmultiplexer impulse response cl,m .

· · · n − 2 n − 1 n n + 1 n + 2 · · ·

k − 1 · · · −0.125 − j0.206 0.239 j0.206 −0.125 · · ·

k · · · 0 0.564 1 0.564 0 · · ·

k + 1 · · · −0.125 j0.206 0.239 − j0.206 −0.125 · · ·

If the channel is considered as constant during the summa-tion period (−1 ≤ l ≤ 1, −(2K − 1) ≤ m ≤ 2K − 1), andreceived signal can be written as [8]

rk,n = hk,n(dk,n + Ik,n) + nk,n . (7)

3. LLR calculation for FBMC

To utilize LDPC code, LLR should be calculated. The effi-cient LLR calculation scheme for FBMC system has been in-troduced [5]. The brief description of LLR estimation algorithmof [5] is followed. The advanced work for LLR calculation isnecessary. By multiplying h∗

k,n to (7) and operating real valueextraction, then received signal can be rewritten as

rk,n Reh∗

k,nrk,n

= Re|hk,n|

2(dk,n + Ik,n) + h∗

k,nnk,n

= |hk,n|

2dk,n + Reh∗

k,nnk,n. (8)

The LLR is depicted as

LLR(bl) = logPr(bl = 0|r)

Pr(bl = 1|r)= log

x∈χ0

l

P(r |d)

x∈χ1

l

P(r |d)(9)

where bl is lth bit, and χ0l and χ0

l denote subsets in whichthe lth bit of the symbol is 0 and 1, respectively. P(r |d) isthe conditional probability density function (PDF). To calculateLLR, variance of noise term should be estimated. In (8),Re{h∗

k,nnk,n} is noise, and the noise variance is as follows

VarReh∗

k,nnk,n

= σ 2k,n = |hk,n|

2σ 2n , (10)

where σ 2n is the variance of noise term nk,n .

3.1. Real and imaginary FBMC symbols pass through samechannel

If it is assumed that, real d(r)k,n and imaginary jd(i)k,nFBMC symbols experience same channel (hk,n = hk′,n′ = h),the PDF of the combined QAM symbols is represented as

P(r |d, |h|2)

=1

2πσ 2 exp

−1

2σ 2

r(r)k,n − |h|2d(r)k,n

2

+

r(i)k′,n′ − |h|

2 d(i)k′,n′

2

.

(11)

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140 S. Jo, J.-S. Seo / ICT Express 1 (2015) 138–142

1

0.8

0.6

0.4

Am

plitu

de

0.2

0

OFDM

FBMCOFDM

FBMC

-0.2

-4 -3 -2 -1 10 2 3 4

Subcarrier index

-4 -3 -2 -1 10 2 3 4

Subcarrier index

10

0

-10

-20

-30

-40

-50

-60

-70

-80

-90

-100

Pow

er in

dB

a b

Fig. 1. (a) Waveforms of Sinc filter and PHYDYAS filter, (b) Power spectrum of the filters. (Blue: OFDM, Red: FBMC). (For interpretation of the references tocolor in this figure legend, the reader is referred to the web version of this article.)

3.2. Real and imaginary FBMC symbols pass through differentchannels

If it is assumed that, real d(r)k,n and imaginary jd(i)k,nFBMC symbols experience different channels (hk,n = h1 =

hk′,n′ = h2), the PDF of the combined QAM symbols is repre-sented as

P(r |d, |h1|2, |h2|

2)

=1

2πσ1σ2exp

r(r)k,n − |h1|2d(r)k,n

2σ 21

2

+

r(i)k′,n′ − |h2|

2d ′

(i)k′,n

2σ 22

2

.

(12)

4. FBMC based LDM system

4.1. Active subcarriers in OFDM and FBMC

FBMC uses the PHDYAS filter which has low sidelobe andmaximizes spectral efficiency with no guard band. In this part,we compare sidelobes of OFDM and FBMC. DVB-T2 definesactive subcarrier numbers for each FFT mode. For example, in1 K mode, 852 active carriers are used. In general, for any trans-mission mode of DVB-T2, only about 85% of the total subcarri-ers are used for transmission. The remaining 15% of subcarriersare used as guard band. Without this guard band, high sidelobepower of OFDM signal interferes with the neighboring services.In Fig. 1(a), the sinc filter of OFDM and the PHYDYAS filterof FBMC are represented. Fig. 1(b) shows filter shapes in dBscale. It is obvious that sidelobes of FBMC are markedly lowerthan that of OFDM. The power of first sidelobe of sinc filter is−17 dB, however the first sidelobe of FBMC is almost −40 dB.This distinction between two modulations becomes remarkablein the multicarrier environment.

Fig. 2 shows power spectral densities (PSD) of OFDM andFBMC in 1 K mode. As DVB-T2 stipulates, 86 null subcarriers

Fig. 2. PSDs of OFDM and FBMC (1 K mode and 86 Guard bands on eachside).

are allocated on both sides. An interesting observation that canbe made is that the OFDM sidelobe power merely reduces toapproximately about −55 dB on its either end whereas it onlyrequires a single null subcarrier on either end of FBMC toreduce sidelobe power to approximately −60 dB.

In this paper, we consider 1 K mode of transmission withnumber of null subcarriers for OFDM and FBMC as 172 andzero, respectively.

4.2. LDM scenarios

In the FBMC and OFDM combined LDM system, weconsider three transmission scenarios.

(1) Scenario 1. FBMC over OFDM.Fig. 3(a) represents LDM scenario 1. In scenario 1, FBMC

signal is transmitted in the upper layer and OFDM signal istransmitted in the lower layer. OFDM signal in existing serviceis overlaid with FBMC signal.

(2) Scenario 2. OFDM over FBMC.Fig. 3(b) represents LDM scenario 2. In scenario 2, OFDM

signal is transmitted in the upper layer and FBMC signal is

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S. Jo, J.-S. Seo / ICT Express 1 (2015) 138–142 141

Fig. 3. (a) LDM scenario 1. (b) LDM scenario 2. (c) LDM scenario 3.

transmitted in the lower layer. Underlying FBMC signal istransmitted under OFDM signal.

(3) Scenario 3. FBMC over FBMC.Fig. 3(c) represents LDM scenario 3. In scenario 3, both

upper and lower layers have FBMC signals and it is assumedthat conventional service also uses FBMC modulation.

5. Performance analysis

In this section, performances of upper layers in the additivewhite Gaussian noise (AWGN) channel, are analyzed. Becauseif upper layer signal is demodulated perfectly, lower layersignal can be easily detected with canceling upper layersignal. Figs. 4–6 represent BER performance of each scenarioaccording to power gap between upper layer and lower layer.F/O, O/F and F/F are ‘FBMC over OFDM’ (Scenario 1),‘OFDM over FBMC’ (Scenario 2), and ‘FBMC over FBMC’(Scenario 3), respectively. QPSK is used for simulation andconsidered FEC code is LDPC code with code rate of 1/3, 1/2,and 3/5.

The performances of scenarios 1 and 2 are very similar,and scenario 1 looks a little bit better. For the scenario 3,more power is necessary about SNR 1–2 dB to reach sameperformance of scenario 1. In the scenario 1, lower OFDMlayer signal interferes with upper FBMC layer, but because ofnull subcarrier, some FBMC signals are distorted less. In thescenario 2, all upper OFDM layers are affected by lower FBMClayer. In the scenario 3, all upper FBMC signals are interferedby lower layer that cause the highest performance degradation.

Meanwhile, we can discover the interesting result when thecode rate is 3/5. In the 1 dB power gap case, BER floorsappeared in scenario 1 and scenario 2. Scenario 3 representsgood performance, but also has BER floor at 10−6.1 at SNR18.7 dB. In the 3 dB power gap case, the BER performances ofscenarios 1 and 2 become similar to that of scenario 3. When thelower layer has 5 dB low power than upper layer, performancesof scenarios 1 and 2 surpass that of scenario 3.

6. Conclusion

In this paper, we considered LDM system based FBMC.Proposed LDM system consists of two layers, and threetransmission scenarios are considered, which are (1) FBMCover OFDM, (2) OFDM over FBMC, and (3) FBMC overFBMC. For organizing signal layers, PSDs of OFDM andFBMC signal are analyzed. The sidelobe power of OFDMsignal is much higher than that of FBMC signal. Guard bandis allocated only for OFDM. Because of the distinct applicationof guard band, the performance of LDM in each scenario hasdifferent tendency. Scenario 1 outperforms other scenarios in

Fig. 4. BER performance of 1st layer with 1 dB power gap between two layers.

Fig. 5. BER performance of 1st layer with 3 dB power gap between two layers.

Fig. 6. BER performance of 1st layer with 5 dB power gap between two layers.

almost all the cases. Scenario 2 has similar performance to thatof scenario 1. But in the case of 1 dB gap between layers withcode rate 3/5, scenario 3 has best performance.

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142 S. Jo, J.-S. Seo / ICT Express 1 (2015) 138–142

From this analysis, we can observe that LDM systemwith the combination of FBMC and OFDM is appropriate.Combined LDM system has better performance, especiallyFBMC over OFDM case, rather than LDM system composedwith only FBMC signals.

Acknowledgment

This work was supported by the ICT R&D programof MSIP/IITP (1391202006, A Study on Next GenerationInteractive Terrestrial Broadcasting System).

References

[1] B. Le Foch, M. Alard, C. Berrou, Coded orthogonal frequency divisionmultiplex, Proc. IEEE 83 (6) (1995).

[2] M.G. Bellanger, Specification and design of a prototype filter for filter bankbased multicarrier transmission, in: Proc. IEEE ICASSP, Salt Lake City,USA, May 2001, pp. 2417–2420.

[3] P. Siohan, C. Siclet, N. Lacaille, Analysis and design of OFDM/OQAMsystems based on filter bank theory, IEEE Trans. Signal Process. 50 (5)(2002) 1170–1183.

[4] Y. Wu, B. Rong, K. Salehian, G. Gagnon, Cloud transmission: Anew spectrum-reuse friendly digital terrestrial broadcasting transmissionsystem, IEEE Trans. Broadcast. 58 (3) (2012) 329–337.

[5] S. Jo, J. Seo, Efficient LLR calculation for FBMC, IEEE Commun. Lett.(2015) http://dx.doi.org/10.1109/LCOMM.2015.2467376.

[6] R. Zakaria, D. Le Ruyet, A novel FBMC scheme for spatial multiplexingwith maximum likelihood detection, in: Proc. IEEE ISWCS, Sep. 2010,pp. 461–465.

[7] M. Bellanger, and PHYDYAS team, FBMC physical layer: a primer,website: www.ict-phydyas.org.

[8] C. Lele, J. Javaudin, R. Legouable, A. Skrzypczak, P. Sioha, Channelestimation methods for Preamble-based OFDM/OQAM Modulation, in:Proc. European Wireless, Apr. 2007.


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