Iterative Joint PIC and 2D MMSE-FDE for Turbo-coded HARQ with SC-MIMO Multiplexing

Nakajima, Akira; Adachi, Fumiyuki

doi:10.1109/vetecs.2006.1683308

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…The residual error after the interference cancellation should be taken into account in the equalization. The frequency domain equalization for the m-th CW in subcarrier k can be carried out as follows [8]:…”

Section: A Parallel Interference Cancellation (Pic)mentioning

confidence: 99%

“…Iterative approaches based on parallel and successive interference cancellation are investigated, and a new turbo processing solution allowing to reduce the computational complexity is proposed. Both parallel and successive interference cancellation have been widely treated in literature, for CDMA as well as OFDM systems (e.g., [6], [7] and [8]). Their aim is basically a progressive reduction of the interstream interference by including in the detection process a previous estimate of the transmitted data sequences.…”

Section: Introductionmentioning

confidence: 99%

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Turbo Receivers for Single User MIMO LTE-A Uplink

Berardinelli

Manchón

Deneire

et al. 2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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Section: A Parallel Interference Cancellation (Pic)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Turbo Receivers for Single User MIMO LTE-A Uplink

Berardinelli

Manchón

Deneire

et al. 2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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“…MIMO ARQ techniques with diversity mapping and sphere decoding-based joint detection and packet combining has been proposed for a flat fading multi-antenna channel [6]. In [7], [8], performance of turbo coded hybrid ARQ with iterative MMSE frequency domain equalization (FDE) for single carrier transmission over the broadband MIMO channel has been evaluated.…”

Section: Introductionmentioning

confidence: 99%

Joint Hybrid ARQ and Iterative Space-Time Equalization for Coded Transmission over the MIMO-ISI Channel

Ait-Idir¹,

Chafnaji²,

Saoudi³

2008

2008 IEEE Wireless Communications and Networking Conference

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This paper focuses on the problem of efficient packet combining techniques for coded systems with hybrid automatic repeat request (ARQ) protocols operating over the frequency selective fading multiple input multiple output (MIMO) channel. We introduce a receiver scheme where space-time soft equalization is integrated into the packet combiner. This allows to create at each transmission an additional set of virtual receive antennas, thereby increasing the diversity order of the system. We also propose a second packet combining scheme where equalization is performed separately for each transmission. Iterative channel estimation is also investigated, and a training scheme where the pilot symbols are not retransmitted is introduced. Block error rate (BLER) performance is investigated via computer simulations for both perfect and imprecise channel state information (CSI) at the receiver side for demonstrating the potential of integrated soft equalization-based packet combining for transmission over multipath MIMO channels. I. INTRODUCTIONHybrid automatic repeat request (ARQ) protocols and multiple input multiple output (MIMO) space-time multiplexing oriented architectures are two major techniques for the evolution of wireless high speed packet access networks [1]. While MIMO multiplexing techniques allow to increase the spectrum efficiency through the transmission of different parallel substreams over multiple antennas [2], hybrid ARQ protocols perform packet combining of different packet transmissions to increase the system throughput. In the literature, several packet combining strategies have been proposed. In [3], Chase has developed a maximum likelihood (ML)-based technique for combining multiple coded packets. In [4], the authors have introduced different diversity-based combining schemes for hybrid ARQ systems.Recently, particular attention has been paid to the design of packet combining algorithms for MIMO systems. In general, multi-antenna transmission techniques provide multiplexing and diversity gains. If a ARQ protocol is employed at the upper layer, retransmission of the same data packet increases the diversity gain, especially if the MIMO channel changes from one transmission to another. In addition, the presence of intersymbol interference (ISI) caused by frequency selective fading translates into additional diversity branches if an efficient equalization scheme is employed. Therefore, the maximum achievable diversity order of a multi-antenna transmission link with ARQ over a time varying MIMO-ISI fading channel is kLN R , where k, L, and N R are the numbers of transmissions, MIMO paths, and receive antennas, respectively. Symbol-level combining techniques based on

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“…The MMSE spatial filtering weight of uth user at the ith stage is given by [14] IV. COMPUTER SIMULATION The simulation condition is summarized in Table 1.…”

Section: B Mmse Spatial Filtering Weight Matrix Mmse Spatial Filterimentioning

confidence: 99%

Iterative joint MMSE spatial filtering/successive MUI cancellation for frequency-domain filtered SC-FDMA uplink

Okuyama

Takeda

Adachi

2010

2010 IEEE International Conference on Communication Systems

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Abstract-Frequency-domain filtered single carrier (SC)-FDMA signal has properties of reduced peak-to-average power ratio (PAPR) and increased frequency diversity gain. However, if the carrier-frequency separation is kept the same as in the case of the transmit filter roll-off factor D 0, the adjacent users' signal spectra overlap and the multi-user interference (MUI) is produced. In our previous work, we proposed an iterative joint single-user minimum mean square error frequency-domain equalization/successive MUI cancellation (called iterative joint MMSE-FDE/SMUIC), which performs iteratively a series of MMSE-FDE, spectrum combining, and SMUIC, for frequency-domain filtered SC-FDMA uplink. However, the residual ISI and MUI limit the BER performance improvement. In this paper, we replace the single-user MMSE-FDE by an MMSE spatial filtering (MMSE-SF) and propose an iterative joint multi-user MMSE-SF/SMUIC (called iterative joint MMSE-SF/SMUIC). The achievable bit error rate (BER) and throughput performances are evaluated by computer simulation.

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Iterative Joint PIC and 2D MMSE-FDE for Turbo-coded HARQ with SC-MIMO Multiplexing

Cited by 6 publications

References 9 publications

Turbo Receivers for Single User MIMO LTE-A Uplink

Turbo Receivers for Single User MIMO LTE-A Uplink

Joint Hybrid ARQ and Iterative Space-Time Equalization for Coded Transmission over the MIMO-ISI Channel

Iterative joint MMSE spatial filtering/successive MUI cancellation for frequency-domain filtered SC-FDMA uplink

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