Code-Index Modulation Aided Quadrature Spatial Modulation for High-Rate MIMO Systems

Aydin, Erdogan; Cogen, Fatih; Başar, Ertuğrul

doi:10.1109/tvt.2019.2928378

Cited by 49 publications

(18 citation statements)

References 9 publications

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“…Increasing data rate, cell coverage, energy and spectral efficiency in wireless and mobile systems is targeted by manufacturers in the current and future generations referred to as 5G and beyond [1][2][3][4][5]. The customer; on the other hand, is eager for better services either in the crowded or low density cells.…”

Section: Introductionmentioning

confidence: 99%

A simplified spatial Modulation MISO-OFDM scheme

Al-Doori

Al-Hemiary

2020

TELKOMNIKA

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Index modulation is one of the promising techniques for future communications systems due to many improvement over the classical orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same modulation order, achieved tradeoff between the efficiencies of the power and the spectral, and elimination of inter-channel interference. Many forms of index modulation researches exist where symbols are conveyed in antennas, subcarriers, time slots, and the space-time matrix. Spatial modulation is one member of index modulation family where symbols are conveyed in activating transmit/receive antennas. In this paper, a modification to a standard multiple input single output scheme by integrating spatial modulation using simplified mathematical procedure is achieved. In the transmitter side, data and activation symbols are distributed simultaneously using mathematical module and floor functions. At the receiver, a simplified maximum likelihood detector is used to obtain transmitted pair of symbols. To verify this, MATLAB simulink is used to simulate a downlink system where spatial modulation is applied to a base station. Results for different transmit antenna number and modulation order are obtained in the form of bit error rate versus signal to noise ratio.

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Section: Introductionmentioning

confidence: 99%

A simplified spatial Modulation MISO-OFDM scheme

Al-Doori

Al-Hemiary

2020

TELKOMNIKA

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“…Besides, 75% of the ICT sector is expected to be wireless by the end of 2020; for this reason, next-generation communication techniques should be designed to be energy efficient in a way to reduce CO 2 emissions. [1][2][3][4] Multiple-input multiple-output (MIMO) systems offer reliable communications as well as higher capacity in the presence of multipath propagation. 5 Consequently, MIMO transmission techniques have been comprehensively adapted into most of the recent communication standards.…”

Section: Introductionmentioning

confidence: 99%

C‐MRC–based cooperative spatial modulation with antenna selection

Aydin

Başar

İlhan

et al. 2020

Int J Communication

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SummaryA new high‐performance low‐complexity cooperative maximal ratio combining (C‐MRC)‐based cooperative relaying scheme, which is called antenna selection‐aided cooperative spatial modulation scheme with C‐MRC (AS‐CSM), is proposed for decode and forward (DF)‐based cooperative relaying networks operating over independent but non‐identically distributed (i.n.d.) Rayleigh fading channels. The AS‐CSM scheme is formed with the combination of cooperative SM with the high‐performance low‐complexity coherent demodulator C‐MRC and antenna selection techniques. In the AS‐CSM scheme, the information is transmitted from the source terminal (ST) to the relay terminal (RT) and the destination terminal (DT) in the form of not only modulated symbols but also antenna indices, which carry additional information bits in the spatial domain. Therefore, a high spectral efficiency is obtained by the proposed scheme for cooperative relaying networks. In this scheme, first, the index of the activated antenna of ST is estimated, and the best antenna selection at RT is investigated considering the received instantaneous equivalent to signal‐to‐noise values acquired at DT. The transmitted symbols are estimated with low‐complexity coherent demodulator C‐MRC at DT by using the noisy signals from ST and RT. An exact closed‐form expression for the bit error probability (BEP) of the AS‐CSM scheme is derived, and the theoretical results are validated with Monte‐Carlo simulation results.

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“…3,4 Therefore, a novel wireless communication system, which can achieve high data rate, high spectral efficiency, wide coverage, and low-latency coupled with energy efficient, is required. 5 One of the major setbacks in wireless communication affecting the quality of service is the fading effect. 6 Diversity techniques are one of the most important methods that minimize the fading effect affecting the quality of service.…”

Section: Introductionmentioning

confidence: 99%

“…17 The most researched candidates of MIMO systems in recent years have been SM and QSM structures. 18 Because these techniques are both high data-rated and energy-efficient techniques, these techniques are also easy to implement, 5 although the receiver and the transmitter are equipped with multiple antennas to obtain the spatial diversity of the rich scattering environment in the SM technique. However, only a single transmit antenna is employed, which made the use of single radio frequency chain possible.…”

Section: Introductionmentioning

confidence: 99%

“…In the QSM system, the number of active antennas is increased, and the data rate and spectral efficiency increase accordingly. 5 In the structure of the QSM system, the complex-modulated signal is divided into real and imaginary parts, and then the real part is sent to the receiver via one of the selected antennas and the imaginary part via another active antenna. Besides, since the orthogonal I and Q channels are used in QSM, ICI does not occur in a similar manner to SM.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative quadrature spatial modulation with Euclidean distance and capacity optimized antenna selection

Cogen

Aydin

2020

Int J Communication

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SummaryIn this study, new cooperative‐quadrature spatial modulation techniques based on Euclidean distance and capacity optimized antenna selection techniques (EDAS‐CQSM and COAS‐CQSM) are proposed for cooperative communication systems. The considered cooperative system consists of three terminals that are the source terminal (ST), relay terminal (RT), and destination terminal (DT). The decode‐and‐forward (DF) cooperative technique is considered to retransmit the signal at the RT. In order to improve the performance of the conventional QSM demodulator in the RT and DT, both antenna selection techniques have been used in both the ST and RT to reduce performance degradation due to error propagation of the DF scheme. Therefore, the overall performance of the considered CQSM system has been increased. Furthermore, computer simulations have shown that the proposed EDAS/COAS‐CQSM systems have better the performances than the cooperative spatial modulation (CSM), CQSM, EDAS‐CSM, COAS‐CSM, and traditional DF‐based cooperative system with the same bit rate.

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Code-Index Modulation Aided Quadrature Spatial Modulation for High-Rate MIMO Systems

Cited by 49 publications

References 9 publications

A simplified spatial Modulation MISO-OFDM scheme

A simplified spatial Modulation MISO-OFDM scheme

C‐MRC–based cooperative spatial modulation with antenna selection

Cooperative quadrature spatial modulation with Euclidean distance and capacity optimized antenna selection

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