Multi-user spatial modulation MIMO

Narayanan, S.; Chaudhry, Marium Jalal; Stavridis, Athanasios; Renzo, Marco Di; Graziosi, Fabio; Haas, Harald

doi:10.1109/wcnc.2014.6952128

Cited by 50 publications

(32 citation statements)

References 32 publications

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“…3(b). To support high number of users, the massive antennas of BS can be split into subgroups of fewer antennas where SM techniques can be employed for each user [12]. For the specific case of two users, the data of User 1 can be mapped into antenna indices while the data of User 2 can be conveyed with M -ary signal constellations.…”

Section: Recent Advances In Smmentioning

confidence: 99%

Index modulation techniques for 5G wireless networks

2016

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The increasing demand for higher data rates, better quality of service, fully mobile and connected wireless networks lead the researchers to seek new solutions beyond 4G wireless systems. It is anticipated that 5G wireless networks, which are expected to be introduced around 2020, will achieve ten times higher spectral and energy efficiency than current 4G wireless networks and will support data rates up to 10 Gbps for low mobility users. The ambitious goals set for 5G wireless networks require dramatic changes in the design of different layers for next generation communications systems. Massive multiple-input multiple-output (MIMO) systems, filter bank multicarrier (FBMC) modulation, relaying technologies, and millimeter-wave communications have been considered as some of the strong candidates for the physical layer design of 5G networks. In this article, we shed light on the potential and implementation of index modulation (IM) techniques for MIMO and multi-carrier communications systems which are expected to be two of the key technologies for 5G systems. Specifically, we focus on two promising applications of IM: spatial modulation (SM) and orthogonal frequency division multiplexing with IM (OFDM-IM), and we discuss the recent advances and future research directions in IM technologies towards spectral and energy-efficient 5G wireless networks.I. INTRODUCTION After more than 20 years of research and development, the achievable data rates of today's cellular wireless communications systems are several thousands of times faster compared to earlier 2G wireless systems. However, unprecedented levels of spectral and energy efficiency are expected from 5G wireless networks to achieve ubiquitous communications between anybody, anything, and anytime [1]. In order to reach the challenging objectives of 5G wireless networks, the researchers have envisioned novel physical layer (PHY) concepts such as massive multiple-input multiple-output (MIMO) systems and non-orthogonal multi-carrier communications schemes. However, the wireless community is still working day and night to come up with new and more effective PHY solutions towards 5G networks. There has been a growing interest on index modulation (IM) techniques over the past few years. IM, in which the indices of the building blocks of the considered communications systems are used to convey additional information bits, is a novel digital modulation scheme with high spectral and energy efficiency. Spatial modulation (SM) and orthogonal frequency division multiplexing with IM (OFDM-IM) schemes, where the corresponding index modulated building blocks respectively are the transmit antennas of a MIMO system and the subcarriers of an OFDM system, appear as two interesting as well as promising applications of the IM concept.After the pioneering works of Mesleh et al.[2] and Jeganathan et al.[3], SM techniques have attracted significant attention over the past few years. Although having strong and well-established competitors such as vertical Bell Labs layered space-ti...

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Section: Recent Advances In Smmentioning

confidence: 99%

Index modulation techniques for 5G wireless networks

2016

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“…In order to eliminate the interference between the cochannel users, the precoding method in [9] is applied, where perfect channel state information is assumed at both the transmitter and the receiver. The precoding mask is defined as a vector for shaping the signal before it is sent out.…”

Section: B Multi-user Smmentioning

confidence: 99%

“…In [9], a precoding method is proposed to coordinate MUI when multiple users are involved in SM systems. However, [9] has two limitations: i) the antenna allocation to different users is fixed, and ii) only one receive antenna is allowed at each user end. To the best of the authors' knowledge, an adaptive management and selection of antennas for MU-SM has not been studied before.…”

Section: Introductionmentioning

confidence: 99%

A novel multiple access scheme based on spatial modulation MIMO

Wu¹,

Renzoy²,

Haas³

2014

2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Spatial modulation (SM) is a unique single-stream Multiple-Input Multiple-Output (MIMO) transmission technique. Unlike conventional MIMO schemes, SM activates a single transmit antenna at any time instance, and therefore completely avoids inter-channel interference in single user scenarios. When considering multiple users, precoding techniques can be applied to realise multi-user SM (MU-SM) and coordinate multi-user interference. The transmit antennas in MU-SM are divided into groups, and each group is dedicated to one user. This means that the management and selection of antennas are crucial with respect to capacity in MU-SM. Therefore, we propose a novel multiple access method in this paper, named spatial modulation multiple access (SMMA). Unlike in MU-SM where a fixed antenna arrangement is used, the concept of SMMA is to adaptively allocate the transmit antennas to multiple users. Results show that SMMA obtains a signal-to-noise ratio (SNR) gain of up to 6 dB over MU-SM. More importantly, the performance of SMMA degrades insignificantly as the number of users increases.

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“…In [9], the authors considered a multiuser uplink transmission scheme with SM implemented at each user. To enable SM in multiuser downlink communications, a closed-form precoding solution was derived in [10]. In [11], an implementation of RSM/GRSM in massive MIMO systems was investigated.…”

Section: Introductionmentioning

confidence: 99%

Transmit-Receive Generalized Spatial Modulation Based on Dual-layered MIMO Transmission

Perović

Renzo

Flanagan

2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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We propose a novel scheme for downlink multiuser multiple-input multiple-output (MIMO) systems, called dual-layered transmit-receive generalized spatial modulation (DL-TR-GSM). The proposed scheme is based on the concept of dual-layered transmission (DLT) which uses two receive antenna power levels instead of receive antenna activation/inactivation to transmit data in the receive spatial domain. Hence, in order to minimize the bit error rate (BER) for DL-TR-GSM, the optimal ratio between the two power levels is determined. To further characterize DL-TR-GSM, we fully derive the computational complexity and show a significant computational complexity reduction as well as a required hardware complexity reduction of DL-TR-GSM, compared to a state-of-the-art benchmark scheme. Simulation results confirm the performance advantages of DL-TR-GSM.Index Terms-Dual-layered transmission, generalized spatial modulation (GSM), multiple-input multiple-output (MIMO), multiuser communications.

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Multi-user spatial modulation MIMO

Cited by 50 publications

References 32 publications

Index modulation techniques for 5G wireless networks

Index modulation techniques for 5G wireless networks

A novel multiple access scheme based on spatial modulation MIMO

Transmit-Receive Generalized Spatial Modulation Based on Dual-layered MIMO Transmission

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