Spatial modulation for multi-user massive MIMO systems

Uluocak, Seyfettin; Başar, Ertuğrul

doi:10.1109/siu.2017.7960432

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…In [92] a state of the art on the use of SM-MIMO in future 5G wireless communications is made. The study by Seyfettin Uluocak and al highlighted the interest of using massive multi-user (MU) MIMO-SM systems in the 5G network [93].…”

Section: Index Modulation (Im)mentioning

confidence: 99%

A Comprehensive Survey of Candidate Waveforms for 5G, beyond 5G and 6G Wireless Communication Systems

Adoum¹,

Zoukalne²,

Idriss³

et al. 2023

OJAppS

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The evolution of global mobile data over the past decades in broadcasting, Internet of Things (IoT), education, healthcare, commerce, and energy has put strong pressure on 3G/4G mobile networks to improve their service offerings. These generations of mobile networks were initially invented to meet the requirements of the above-mentioned applications. However, as the requirements in these applications continue to increase, new mobile technologies such as 5G (fifth generation), 5G and beyond (B5G, beyond fifth generation), and 6G (sixth generation) are still progressing and being experimented. These networks are very heterogeneous generations of mobile networks that will have to offer very high throughput per user, good energy efficiency, better traffic capacity per area, improved spectral efficiency, very low latency, and high mobility. To meet these requirements, the radio interface of future mobile networks will have to be flexible and rationalized the available frequency resources. Therefore, new modulation methods, access techniques and waveforms capable of supporting these technological changes are proposed. This review presents brief descriptions of the types of 5G, B5G, and 6G waveforms. The 5G consists of OFDM including its transmission techniques: generalized frequency division multiplexing (GFDM), filter bank based multi-carrier (FBMC), universal filtered multi-carrier (UFMC), and index modulation (IM). Meanwhile, the 6G covers orthogonal time frequency space (OTFS), orthogonal chirp division multiplexing (OCDM) and orthogonal time sequence multiplexing (OTSM). The networks' potentialities, advantages, disadvantages, and future directions are outlined.

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Section: Index Modulation (Im)mentioning

confidence: 99%

A Comprehensive Survey of Candidate Waveforms for 5G, beyond 5G and 6G Wireless Communication Systems

Adoum¹,

Zoukalne²,

Idriss³

et al. 2023

OJAppS

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“…Diversity parameter plays a key role in wireless networks as it improves the performance and offers diversity gain (DG) [4]. Spatial modulation techniques when applied for 5G wireless networks [5], or in the context of multiuser massive MIMO systems [6] can provide the benefits of tradeoff in system performance by reducing system complexity and is an option for massive MIMO systems [7,8]. Spatial modulation can be generalized to a group of antennas [9] at a specific time instant, having a single active antenna with its index considered to be a resource which offers high spectral efficiency and modulation schemes with lower order [10].…”

Section: Introductionmentioning

confidence: 99%

Data Transmission and Reception in Spatial Modulation MIMO Wireless Systems and Analysis in Nakagami-m Fading Channels

Premkumar¹,

Sachan²,

Singh³

2023

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This research paper provides binary data transmission in spatial modulation (SM) multiple input multiple output (MIMO) wireless systems, its reception in Nakagami-m fading channel and its analysis by pairwise error probability. In spatial modulation MIMO systems data is transmitted through the selected antenna via its index where data bits are sent via Nakagamim fading channel whenever there is large cluster of multipath waves and large delay period. In the receiver data bits are detected using optimal detection or suboptimal detection from the corresponding antenna index where data bits are separately detected or simultaneously detected. Simulations are performed in matrix laboratory (MATLAB) for different values of modulation order M, number of transmitting antennas Nt, number of receiving antennas Nr and shape parameter m or the fading parameter. Results obtained for simulation of spatial modulation MIMO system shows that the performance in terms of pairwise error probability degrades as the order of modulation increases. However, the fact is that in spatial modulation MIMO system since antenna index is selected for transmission, the number of radio frequency (RF) chain decreases which results in reducing hardware complexity. The obtained results can be useful for research perspective for 5G and 6G wireless systems to cater the requirements of data transmission and reception.

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