Performance of multi-carrier CDMA with iterative detection

Akther, Md. Shoaib; Asenstorfer, J.; Alexander, P.D.; Reed, Mark C.

doi:10.1109/icupc.1998.732817

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…We can apply the enhanced polynomial interpolation algorithm. For that, we reuse the set of polynomials in (9) and (10) and find the improved polynomial coefficient vector (C N , C N-1 , …,C 0 ) T by ( ) , which can be calculated off line and stocked in the receiver. When the polynomial order is determined, for example as N, the receiver will load into the channel estimator the group: In Section II, we have introduced some system parameters.…”

Section: Iterative Channel Estimationmentioning

confidence: 99%

“…The BRAN_E [8] mobile channel gives D spread = 92 and so K 1 =8. At the reception side, the well known Viterbi decoder is implemented for simplicity reason; so instead of the soft feed feedback in [9], the hard decision feedback is considered.…”

Section: Iterative Channel Estimationmentioning

confidence: 99%

“…Iterative symbol detection is a very powerful solution in the case of large system load. So our detector is based on the iterative Parallel Interference Cancellation (PIC) detector [10,3,9]. It is associated with MRC combiners and feedback decision signals coming from Viterbi channel decoder' output.…”

Section: Introductionmentioning

confidence: 99%

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Performance improvement of the iterative channel estimation with the iterative PIC detection for the uplink coded MC_CDMA system

Yuan-Wu¹,

Sarkiss²,

Legouable³

VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005.

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This paper is devoted to the coded MC-CDMA uplink radio mobile system. We introduce two performance improvement techniques into the channel estimator of the existed iterative PIC detection and iterative channel estimation receiver[10]. One is the weighted delay profile algorithm for the pilot aided channel estimation; another is the optimization of the polynomial order according to the mobile speed. The outputs of the channel decoders are used as the input of the feedback loop. The simulation results show that an important performance improvement is obtained.

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Section: Iterative Channel Estimationmentioning

confidence: 99%

Section: Iterative Channel Estimationmentioning

confidence: 99%

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Performance improvement of the iterative channel estimation with the iterative PIC detection for the uplink coded MC_CDMA system

Yuan-Wu¹,

Sarkiss²,

Legouable³

VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005.

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“…For the straight-forward (non-iterative) structure, we apply the matched filter (MF), minimum mean-square error multiuser detection (NMSE-MUD) or MMSE-MUD with block decision feedback (MMSE-MUD-BDFE) [2,3,6]. For the iterative structure, parallel interference cancellation (PIC) [10,8,9] uses a maximal ratio combiner (MRC) (equivalent to the MF detector) after interference cancellation, the MF or MMSE-MUD detector is used at the initial iteration. The performance of the systems is evaluated using the perfect channel knowledge and estimated Ye (Geoffrey) Li…”

Section: Introductionmentioning

confidence: 99%

How to obtain good performance by iterative and diversity techniques for uplink MC-CDMA systems

Yuan-Wu

Sarkiss

Li³

2006 IEEE 63rd Vehicular Technology Conference

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This paper aims at the system design on the MC-CDMA uplink. In this paper, we compare the performance and the complexity of MC-CDMIA systems with and without iterative detectors and multiple receive antenna arrays. Through extensive computer simulation, we demonstrate that the following four combinations are good solutions: a single-antenna receiver with an iterative PIC detector initialized by the MF and with 3 iterations, a two-antenna receiver with MMSE-MUD or an iterative PIC detector initialized by the MF and with 2 iterations, and a four-antenna receiver with a simple MF detector. Therefore, non-iterative detectors can be used with multiple receive antenna arrays to substitute complicated iterative detectors and it is a promising solution for the 4G up-link MC-CDMA systems where multiple receive antennas are available. In this paper, we have also considered pilot-aided channel estimation with weighted delay profile technique and investigated the impact of channel estimation error on different systems.

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Iterative detection for MC-CDMA system with base station antenna array for fading channels

Akhter

Asenstorfer²

IEEE GLOBECOM 1998 (Cat. NO. 98CH36250)

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Performance of a Multi-Carrier CDMA (MC-CDMA) syst,eiii using iterative detection over a fading chaniiel caii he improved by iiicorporat,ing a11 antenna army at, the base statio11 (BS). In this pa.per we propose a new MWIDhiA sj-stem with a BS aiit,eniia array t o coinhat, fading effects. ITe consider only the uplink and derive the frequency selec.tive MC:-CDMA chanlie1 model using a iiia,t,ris algebraic approa,ch. Due t o the liiiea,r iiarure of t,lie chnmiel we use a recently publislied t.echiiique t,liat, combines it,erat,ive decoding and interfereoce ca.iicellat,ioii l,o reduce thc multiuser interference present (MUI) iii the system. W e show that uiasimal ratio combining bogether with the iterabivr detect,ioii caii improve-the syst,em performarice significaiitly.

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Performance of multi-carrier CDMA with iterative detection

Cited by 10 publications

References 13 publications

Performance improvement of the iterative channel estimation with the iterative PIC detection for the uplink coded MC_CDMA system

Performance improvement of the iterative channel estimation with the iterative PIC detection for the uplink coded MC_CDMA system

How to obtain good performance by iterative and diversity techniques for uplink MC-CDMA systems

Iterative detection for MC-CDMA system with base station antenna array for fading channels

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