Uplink and downlink transceiver design for OFDM with index modulation in multi-user networks

Yüzgeçcioğlu, Merve; Jorswieck, Eduard A.

doi:10.1109/pimrc.2017.8292484

Cited by 2 publications

(3 citation statements)

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“…In order to further increase the SE and the energy efficiency (EE) of OFDM-IM systems, a compressed sensing (CS) assisted signalling strategy was proposed for OFDM-IM systems in [10]- [12]. Additionally, OFDM-IM designed for the MU UL and downlink (DL) was proposed in [13], where the peak to average power ratio (PAPR) of the classical MU-OFDM system was reduced.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink

El‐Hajjar

Hanzo

2019

IEEE Trans. Veh. Technol.

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A novel compressed sensing-aided generalised spacefrequency index modulation (CS-GSFIM) scheme is conceived for the large-scale multiuser multiple-input multiple-output uplink (LS-MU-MIMO-UL). Explicitly, the information bits are mapped both to the spatial-and frequency-domain indices, where we treat the activation patterns of the transmit antennas (TAs) and of the subcarriers separately. Specifically, our indexing strategy strikes a flexible trade-off between the throughput (Tp), performance and complexity. In order to further increase the system's achievable rate, CS-aided pre-processing is applied to the subcarriers. An upper bound of the average bit error probability (ABEP) of the proposed system using the optimal maximum likelihood (ML) detector is derived, which is shown to be tight by our simulation results at moderate to high signal-to-noise ratios (SNRs). Then we design a CS-aided reduced-complexity detector, namely the reduced search-space based iterative matching pursuit (RSS-IMP), which significantly reduces the detection complexity compared to the ML detection and makes the proposed design a feasible one for LS-MU scenarios. Furthermore, the simulation results presented in this paper demonstrate that the proposed RSS-IMP detector significantly reduces the detection complexity, while attaining better performances than both the conventional MU-MIMO-OFDM system using the ML detector and the proposed system using the minimum mean square error (MMSE) detector. We also characterise the performances of the proposed system in the presence of channel estimation errors. Our simulation results show that the proposed CS-GSFIM system is more robust to imperfect channel than the conventional MU-MIMO-OFDM system. In order to achieve a near-capacity performance, softinput soft-output (SISO) decoders are designed for the proposed CS-GSFIM system using both the ML and the RSS-IMP multiuser detectors (MUDs) for detecting all users.

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Section: Introductionmentioning

confidence: 99%

Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink

El‐Hajjar

Hanzo

2019

IEEE Trans. Veh. Technol.

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“…Furthermore, applicability of MIMO methods along with the OFDM-IM technique has been analyzed in [32,33,34,35] and significant performance gains have been reported. Taking account the prominent advantages of IM [36], combination of GFDM with IM techniques has been investigated in [37,38,39,40,41,42,43].…”

Section: Introductionmentioning

confidence: 99%

“…In [42], the combination of Kalman algorithm-based channel estimation, turbo MMSE equalization and phase rotated conjugate cancellation (PRCC) algorithm has been proposed for MIMO-GFDM-IM scheme. In [43], a GFDM-IM transceiver structure has been introduced for multi-user networks and BER performance improvement with respect to classical GFDM and OFDM-IM has been reported.…”

Section: Introductionmentioning

confidence: 99%

Multiple-input multiple-output generalized frequency division multiplexing with index modulation

Öztürk

Başar

Çırpan

2019

Physical Communication

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The demand for wireless access continues to grow with the new applications which create a broad range of technical challenges. Although orthogonal frequency division multiplexing (OFDM) with multiple numerologies concept will likely address the current technical challenges of fifth generation (5G) wireless networks, the sufficiency of OFDM-based physical layer (PHY) is quite disputable due to massive growth trend on the number of wireless users and applications for future wireless networks. Therefore, enhanced radio access technologies (RATs) are needed to fulfill the technical requirements of beyond 5G networks. Generalized frequency division multiplexing (GFDM) has attracted tremendous attention over the past few years because of its advantages in terms of out-of-band (OOB) emission, spectral efficiency and latency. Index modulation (IM) techniques convey digital information by utilizing transmission entities in an innovative way and offer attractive advantages such as energy and spectral efficiency without increasing the computational complexity. On the other hand, multiple-input multiple-output (MIMO) transmission is an unquestionable technology to enable increased spectral efficiency. In this paper, a novel MIMO-GFDM scheme, which combines spatial multiplexing (SMX)

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Uplink and downlink transceiver design for OFDM with index modulation in multi-user networks

Cited by 2 publications

References 20 publications

Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink

Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink

Multiple-input multiple-output generalized frequency division multiplexing with index modulation

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