• 検索結果がありません。

JAIST Repository: Near-Capacity-Achieving Simple BICM-ID

N/A
N/A
Protected

Academic year: 2021

シェア "JAIST Repository: Near-Capacity-Achieving Simple BICM-ID"

Copied!
2
0
0

読み込み中.... (全文を見る)

全文

(1)

Japan Advanced Institute of Science and Technology

JAIST Repository

https://dspace.jaist.ac.jp/

Title Near-Capacity-Achieving Simple BICM-ID

Author(s) Ormsub, Soulisak; Fukawa, Kisho; Tolli, Antti; Matsumoto, Tad

Citation 2011 IEEE Communication Theory Workshop Issue Date 2011-06-20

Type Presentation Text version author

URL http://hdl.handle.net/10119/9842 Rights

Copyright © The authors 2011. Near-Capacity-Achieving Simple BICM-ID, Soulisak Ormsub, Kisho Fukawa, Antti Tolli, Tad Matsumoto, 2011 IEEE Communication Theory Workshop, 2011/06/20-22. Description

(2)

Near-Capacity-Achieving Simple BICM-ID

S. Ormsub, K. Fukawa, K. Anwar, Member, IEEE, A. Tolli†, Member, IEEE, T. Matsumoto*†, Fellow, IEEE

*Japan Advanced Institute of Science and Technology(JAIST), Japan

Email: {o.soulisak, k.fukawa, Anwar-k, matumoto } @jaist.ac.jp

†Center for Wireless Communication at University of Oulu, Finland

Email: {antti.tolli, tadashi.matsumoto}@ee.oulu.fi

CONTRIBUTION

 We propose a very simple Bit-Interleaved Coded

Modulation with Iterative Detection/Decoding

(BICM-ID) system.

 The irregular repetition and single parity check codes, combined with partial accumulator and Extended Mapping (EM) are used.

 We also propose EXIT-constraint Binary Switching Algorithm (EBSA) to determined optimal labeling patterns for allocating to each constellation point.

Furthermore, we combine the techniques

described above together with modulation doping.  Bit Error Rate (BER) simulation results show that

using our proposed technique, at a signal-noise ratio (SNR) point of only roughly 0.5dB away from the Shannon limit, clear threshold SNR happens even though required complexity is very low.

Figure 1: System Model of proposed BICM-ID Extended Mapping

 The binary information sequence is encoded by channel encoder using single parity check code, and irregular repetition code.

 The encoded bit sequence is bit-interleaved, accumulated, and then mapped on to one of the constellation points.

 At the receiver side, the iterative processing is invoked, where extrinsic information is exchanged between the demapper and decoder.

[1] D. Zhao, A. Dauch, and T. Matsumoto, “BICM-ID Using Extended Mapping and Repetition Code with Irregular

Node Degree In Vehicular Technology Conference, 2009 . VTC Spring 2009. IEEE 69th, pp. 1098 – 1101, 1952

[2] D. Zhao, A.Dauch and Tad Matsumoto, “Modulation Doping for Repetition Coded BICM-ID with Irregular Degree Allocation”, WSA 2009.

 The very simple close Shannon limit achieving BICM-ID with Irregular repetition code and single parity check codes has been proposed.

 Using the modulation doping technique, the left most part of demapper EXIT curve is pushed up, and thereby, the trajectory starts.

 The BER simulation results show that with the proposed system model combined with EBSA technique, the demapper and decoder curve match each other very well, and therefore, the clear turbo-cliff, corresponding to the threshold SNR, is achievable roughly only 0.5dB away from the Shannon limit.

 The complexity of the proposed technique is at an order of that required for a turbo code using memory-2 convolutional constituency codes.

SYSTEM MODEL

MODULATION DOPING

Figure 2: Modulation Doping Technique

 The idea of modulation doping is that to mix the modulation symbols having different labeling patterns (e.g., extended mapping and Gray mapping).

 It aims to lift up the left most part of the demapper

EXIT curve. Figure 4: EBSA algorithm

We denote total cost 𝒁 as the following: 𝒁 = Zλt = [Z

0Z1Z2Z3Z4Z5] [λ0λ1 λ2λ3 λ4 λ5 ]t

Initialize the weight coefficient vector λ = [λ0… λlamp-1 ] = [0 … 1];

Initialize the desirable vertical epsilon values. e.g., εv = [0.001][1, …, N].

repeat

for i = 1 to 100 do

Randomly generate labeling pattern. Perform BSA.

end for

Select the labeling pattern with minimum cost from BSA. Perform LP to determine the optimal node degree allocation.

Draw demapper EXIT curve and LP-based decoder EXIT curve and

evaluate the horizontal gap (εh ) between this two curves.

if the gap around Zap is larger than initialized epsilon (εv) then

λap = λap – 1, 0 < ap < lmap-1

end if

until the minimum gap is obtained

EXIT-CONSTRAINT

BINARY SWITCHING ALGORITHM (EBSA)

CONCLUSIONS

REFERENCES

BER PERFORMANCE

Figure 6: BER performance of proposed BICM-ID

LABELING PATTERN

OBTAINED FROM EBSA

Figure 3: Labeling pattern obtained from EBSA

 As using the above labeling pattern, the crossing point of the demapper and decoder EXIT curve is at (0, 0) of the mutual information point, and therefore, the trajectory does not start.

 Therefore, we introduce modulation doping technique.

Figure 5: EXIT charts of proposed BICM-ID

EXIT CHART ANALYSIS

DEMAPPER AND DECODER

CALCULATIONS

 Demapper:  Decoder:

           

map v a v N map v a v N l v v s b L s b S s s y l v v s b L s b S s s y e

e

e

e

e

k

b

L

     , 1 ))) ( ( ) ( ( ) | | ( , 1 ))) ( ( ) ( ( ) | | ( 1 2 2 0 2 2

ln

)]

(

[

 

dv j u u u a k cnd e j e

L

L

L

, 1 , , , ,

 

dc k u u u cnd a k cnd e

L

L

, 1 , , , , 1 

La,1 La,2 La,dv dv1 Le,j, j=1...dv1 + Le,cnd,k d c dv2 + dc F e e d b a c k t o d e m a p p e r F e e d b a c k t o d e m a p p e r Le,j, j=1...dv2

: variable node, + : check node

ACC ACC-1 ACC ACC-1 0 0.5 1 1.5 2 2.5 3 10-7 10-6 10-5 10-4 10-3 10-2 10-1 100 SNR(dB) B ER d

c = 7, dv = [3 12], α = [0.8839 0.1161], P = 90, dopping rate = 0.012, spectrum efficiency = 1.0519 bits/QPSK-symbol

d

c = 11, dv = [2 3 4 12], α = [0.5389 0.0453 0.3647 0.0511], P = 90, dopping rate = 0.01, spectrum efficiency = 1.3751 bits/QPSK-symbol

0.59dB 1.07dB S ha nn on Limit S ha nn on Limit 0 0.5 1 1.5 2 2.5 3 10-7 10-6 10-5 10-4 10-3 10-2 10-1 100 SNR(dB) B E R d

c = 7, dv = [3 12], α = [0.8839 0.1161], P = 90, dopping rate = 0.012, spectrum efficiency = 1.0519 bits/QPSK-symbol

d

c = 11, dv = [2 3 4 12], α = [0.5389 0.0453 0.3647 0.0511], P = 90, dopping rate = 0.01, spectrum efficiency = 1.3751 bits/QPSK-symbol

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 IA(dem), IE(dec) IE( dem ), IA (d ec)

Demapper curve of optimal labeling Decoder curve of optimal labeling

Demapper curve of non-optimal labeling

0 0.5 1 1.5 2 2.5 3 10-7 10-6 10-5 10-4 10-3 10-2 10-1 100 SNR(dB) B E R d

参照

関連したドキュメント

Keywords: Convex order ; Fréchet distribution ; Median ; Mittag-Leffler distribution ; Mittag- Leffler function ; Stable distribution ; Stochastic order.. AMS MSC 2010: Primary 60E05

In particular, we consider a reverse Lee decomposition for the deformation gra- dient and we choose an appropriate state space in which one of the variables, characterizing the

Inside this class, we identify a new subclass of Liouvillian integrable systems, under suitable conditions such Liouvillian integrable systems can have at most one limit cycle, and

We present sufficient conditions for the existence of solutions to Neu- mann and periodic boundary-value problems for some class of quasilinear ordinary differential equations.. We

the existence of a weak solution for the problem for a viscoelastic material with regularized contact stress and constant friction coefficient has been established, using the

Merle; Global wellposedness, scattering and blow up for the energy critical, focusing, nonlinear Schr¨ odinger equation in the radial case, Invent.. Strauss; Time decay for

For further analysis of the effects of seasonality, three chaotic attractors as well as a Poincar´e section the Poincar´e section is a classical technique for analyzing dynamic

Greenberg and G.Stevens, p-adic L-functions and p-adic periods of modular forms, Invent.. Greenberg and G.Stevens, On the conjecture of Mazur, Tate and