IMToolkit: An Open-Source Index Modulation Toolkit for Reproducible Research Based on Massively Parallel Algorithms

Ishikawa, Naoki

doi:10.1109/access.2019.2928033

Cited by 12 publications

(33 citation statements)

References 75 publications

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“…For detailed construction methods, refer to the paper [7] that also provides an open-source implementation of IM.…”

Section: Conventional Index Modulationmentioning

confidence: 99%

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Quantum Speedup for Index Modulation

Ishikawa¹

2021

Preprint

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This letter presents a quantum-assisted index modulation for next-generation IoT wireless networks. The NP-hard index selection problem is first formulated by a quadratic unconstrained binary optimization problem consisting of constraints of feasible solutions. To minimize the number of qubits required for a quantum circuit, this formulation is then simplified by a dictionary-based approach that partially exploits a classical computer. It is observed that the Grover adaptive search can provide the quantum speedup for the index selection problem. This promising result implies that a future fault-tolerant quantum computer may be useful for solving optimization problems encountered in wireless communications.

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“…For detailed construction methods, refer to the paper [7] that also provides an open-source implementation of IM.…”

Section: Conventional Index Modulationmentioning

confidence: 99%

“…Although the computational complexity of [6] is negligible, the achievable minimum Hamming distance is two in any case, which limits its performance. In [7], the index selection problem is formulated as an integer linear programming problem. However, it cannot be solved on a classical computer depending on the size of the search space.…”

Section: Introductionmentioning

confidence: 99%

Quantum Speedup for Index Modulation

Ishikawa¹

2021

Preprint

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“…Finally, we note that thanks to the intensive development of machine learning, high-performance Graphic Processing Units (GPUs) are available at low cost, such as Nvidia TITAN RTX and GeForce RTX 2080Ti [307], which facilitate TFLOPS-order of mathematical calculations. As a result, the recent machine learning framework is expected to be capable of completing multi-objective optimization tasks in a shorter duration than conventional approaches, even if low-cost GPUs are used.…”

Section: F Machine Learning and Optimizationsmentioning

confidence: 99%

“…Moreover, the learning process requires a high-performance GPU, while the inference process requires a relatively simple computational resource that can be implemented within a wireless module. Motivated readers may refer to [307] for an up-to-date tool-kit of GPU-aided machine learning algorithms that aim for solving diverse optimization problems in wireless Index Modulation (IM) applications.…”

Section: F Machine Learning and Optimizationsmentioning

confidence: 99%

Sixty Years of Coherent Versus Non-Coherent Tradeoffs and the Road From 5G to Wireless Futures

Ishikawa

Maunder

et al. 2019

IEEE Access

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Sixty years of coherent versus non-coherent tradeoff as well as the twenty years of coherent versus non-coherent tradeoff in Multiple-Input Multiple-Output (MIMO) systems are surveyed. Furthermore, the advantages of adaptivity are discussed. More explicitly, in order to support the diverse communication requirements of different applications in a unified platform, the 5G New Radio (NR) offers unprecendented adaptivity, abeit at the cost of a substantial amount of signalling overhead that consumes both power and the valuable spectral resources. Striking a beneficial coherent versus non-coherent tradeoff is capable of reducing the pilot overheads of channel estimation, whilst relying on low-complexity detectors, especially in high-mobility scenarios. Furthermore, since energy-efficiency is of salient importance both in the operational and future networks, following the powerful Index Modulation (IM) pholosophy, we conceive a holistic adaptive pholosophy striking the most appropriate coherent/non-coherent, single-/multiple-antenna and diversity/multiplexing tradeoffs, where the number of RF chains, the Peak-to-Average Power Ratio (PAPR) of signal transmission and the maximum amount of interference tolerated by signal detection are all taken into account. We demonstrate that this intelligent tripple-fold adaptivity offers significant benefits in next-generation applications of mmWave and Terahertz solutions, in space-air-ground integrated networks, in full-duplex techniques and in other sophisticated channel coding assisted system designs, where powerful machine learning algorithms are expected to make autonomous decisions concerning the best mode of operation with minimal human intervention.

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“…Recently, an open-source IM toolkit has been released aiming at facilitating the quantitative comparisons among multiple IM schemes and accelerating open innovation in IM studies. Interested readers can refer to[28] for more details.…”

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confidence: 99%

Enhanced Huffman Coded OFDM with \\Index Modulation

Dang¹,

Guo²,

Coon³

et al. 2020

Preprint

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In this paper, we propose an enhanced Huffman coded orthogonal frequency-division multiplexing with index modulation (EHC-OFDM-IM) scheme. The proposed scheme is capable of utilizing all legitimate subcarrier activation patterns (SAPs) and adapting the bijective mapping relation between SAPs and leaves on a given Huffman tree according to channel state information (CSI). As a result, a dynamic codebook update mechanism is obtained, which can provide more reliable transmissions. We take the average block error rate (BLER) as the performance evaluation metric and approximate it in closed form when the transmit power allocated to each subcarrier is independent of channel states. Also, we propose two CSI-based power allocation schemes with different requirements for computational complexity to further improve the error performance. Subsequently, we carry out numerical simulations to corroborate the error performance analysis and the proposed dynamic power allocation schemes. By studying the numerical results, we find that the depth of the Huffman tree has a significant impact on the error performance when the SAP-to-leaf mapping relation is optimized based on CSI. Meanwhile, through numerical results, we also discuss the trade-off between error performance and data transmission rate and investigate the impacts of imperfect CSI on the error performance of EHC-OFDM-IM.Index Terms-Orthogonal frequency-division multiplexing with index modulation (OFDM-IM), Huffman coding, dynamic codebook design, power allocation, channel state information (CSI).

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IMToolkit: An Open-Source Index Modulation Toolkit for Reproducible Research Based on Massively Parallel Algorithms

Cited by 12 publications

References 75 publications

Quantum Speedup for Index Modulation

Quantum Speedup for Index Modulation

Sixty Years of Coherent Versus Non-Coherent Tradeoffs and the Road From 5G to Wireless Futures

Enhanced Huffman Coded OFDM with \\Index Modulation

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