A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications

Wen, Miaowen; Zheng, Beixiong; Kim, Kyeong Jin; Renzo, Marco Di; Tsiftsis, Theodoros A.; Chen, Kwang-Cheng; Al-Dhahir, Naofal

doi:10.1109/jsac.2019.2929453

Cited by 356 publications

(144 citation statements)

References 265 publications

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“…In such approaches, the maximal SE gain is sacrificed to attenuate the mapping computational complexity. Future work may propose novel mappers to maximize the SE of OFDM-IM variants and spatial modulation systems [7]. Also, other performance indicators can be aggregated to the spectro-computational mapper analysis e.g.…”

Section: Discussionmentioning

confidence: 99%

Maximal Spectral Efficiency of OFDM With Index Modulation Under Polynomial Space Complexity

Queiroz¹,

Silva²,

Vilela³

et al. 2020

IEEE Wireless Commun. Lett.

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In this letter we demonstrate a mapper that enables all waveforms of OFDM with Index Modulation (OFDM-IM) while preserving polynomial time and space computational complexities. Enabling all OFDM-IM waveforms maximizes the spectral efficiency (SE) gain over the classic OFDM but, as far as we know, the computational overhead of the resulting mapper remains conjectured as prohibitive across the OFDM-IM literature. For an N -subcarrier symbol, we show that OFDM-IM needs a Θ(2 N / √ N )entry LUT to ensure that any sequence of N/2 + ⌊log 2 N N/2 ⌋ bits can be mapped in the same asymptotic time of the classic OFDM mapper i.e., O(N ). We demonstrate this trade-off between SE and computational complexity can be improved if one stores Θ(N 2 ) binomial coefficients (the so-called Pascal's triangle) instead of the classic LUT. With this, we show the OFDM-IM mapper can achieve its maximal SE in the same time complexity of the OFDM's mapper under polynomial (rather than exponential) space resources.

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Section: Discussionmentioning

confidence: 99%

Maximal Spectral Efficiency of OFDM With Index Modulation Under Polynomial Space Complexity

Queiroz¹,

Silva²,

Vilela³

et al. 2020

IEEE Wireless Commun. Lett.

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“…This joint detector is computationally complex, especially for the SM system with a large number of antennas. Near-ML low-complexity detectors such as those summarized in Reference [24] or that for the index modulation in the frequency domain [25] are more favorable for practical implementation. In this paper, as we are interested in analyzing the effect of the RSI due to the FD mode on the system performance, we assume that the receivers of both R and D can perfectly estimate the transmitted antenna index of the respective transmitters for the ML detection.…”

Section: System Modelmentioning

confidence: 99%

Closed-Form Expression for the Symbol Error Probability in Full-Duplex Spatial Modulation Relay System and Its Application in Optimal Power Allocation

Nguyen

Tran

2019

Sensors

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Full-duplex (FD) communication and spatial modulation (SM) are two promising techniques to achieve high spectral efficiency. Recent works in the literature have investigated the possibility of combining the FD mode with SM in the relay system to benefit their advantages. In this paper, we analyze the performance of the FD-SM decode-and-forward (DF) relay system and derive the closed-form expression for the symbol error probability (SEP). To tackle the residual self-interference (RSI) due to the FD mode at the relay, we propose a simple yet effective power allocation algorithm to compensate for the RSI impact and improve the system SEP performance. Both numerical and simulation results confirm the accuracy of the derived SEP expression and the efficacy of the proposed optimal power allocation.

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“…The world is growing at a fast pace, and so is data. The agility and flexibility of big data applications are gradually shaping the Internet-of-things (IoT) [1]. These IoT devices feature unique identities and are accessible from anywhere in the world.…”

Section: Introductionmentioning

confidence: 99%

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

et al. 2020

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With the surge of ubiquitous demand for high-complexity and quality mobile Internet-of-things (IoT) services, new cooperative relaying paradigms have emerged. Motivated by the long and unpredictable end-to-end communication in relay-aided IoT networks, there is a need to introduce novel modulation schemes for very low bit error rate (BER) communications. In this paper, a practical modulation mapping scheme has been proposed to reduce decoding errors. Specifically, a hybrid automatic repeat request (HARQ) system has been used with an intermediate relay to transfer a message from a source to a destination. The design of modulation mapping has been optimized by first formulating the objective as the quadratic assignment problem. Later, the solution to the mapping problem is provided using an iterative search method. To validate the proposed solution, extensive simulations have been performed in MATLAB. The results show that the proposed solution outperforms the conventional relay retransmission and the heuristic design approaches.

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A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications

Cited by 356 publications

References 265 publications

Maximal Spectral Efficiency of OFDM With Index Modulation Under Polynomial Space Complexity

Maximal Spectral Efficiency of OFDM With Index Modulation Under Polynomial Space Complexity

Closed-Form Expression for the Symbol Error Probability in Full-Duplex Spatial Modulation Relay System and Its Application in Optimal Power Allocation

Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

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