Enhanced Orthogonal Frequency-Division Multiplexing With Subcarrier Number Modulation

A novel transmission scheme is introduced for efficient data transmission by conveying additional information bits through jointly changing the index and number of active subcarriers within each orthogonal frequency division multiplexing (OFDM) subblock. The proposed scheme is different from the conventional OFDM-subcarrier number modulation (OFDM-SNM) and OFDM-index modulation (OFDM-IM), in which data bits are transmitted using either number or index of active subcarriers. The proposed modulation technique offers superior spectral and energy efficiency compared to its counterparts OFDM-SNM and OFDM-IM, especially at low modulation orders such as binary phase shift keying (BPSK) that can provide high reliability and low complexity, making it suitable for Internet of Things (IoT) applications that require better spectral and energy efficiency while enjoying high reliability and low complexity. Bit error rate (BER) performance analysis is provided for the proposed scheme, and Monte Carlo simulations are presented to prove the consistency of simulated BER with the analyzed one.A. M. Jaradat is with

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“…where ρ 1 = 1/12 and ρ 2 = 1/4, η 1 = 1/2 and η 2 = 2/3. The new formula of conditional PEP becomes [25]:…”

Section: B Average Bit Error Probabilitymentioning

confidence: 99%

OFDM With Hybrid Number and Index Modulation

2020

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“…That is, the diversity gain in the space domain is produced by the prevention of using 'bad' antenna(s) in the look-up mapping table. [30], [31].…”

Section: Appendix B Why Antenna Selection Protocols Of Anm and Sm Arementioning

confidence: 99%

“…It should be mentioned that the derived formulas given in(30),(31), (32), and (33) are found to give identical, equal BER performances, although they have different parameters. This is due to the fact that transmitting the same information symbol from different transmit antennas without beamforming or space-time coding does not improve the performance whatsoever as the channels are added randomly to each other.…”

mentioning

confidence: 99%

Multiple Input Multiple Output with Antenna Number Modulation and Adaptive Antenna Selection

Hamamreh

Kirik²,

Sagman³

et al. 2020

RS Open Journal on Innovative Communication Technologies

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Multiple input multiple output system with antenna number modulation (MIMO-ANM) is proposed in this paper as a novel transmission method that can be used instead of conventional MIMO with spatial modulation (MIMO-SM) for providing more advantageous and reliable data transmission in future wireless systems. In this scheme, the additional data bits are conveyed by changing the number of active transmit antennas instead of their indices while the number of receive antennas is kept singular. As such, MIMO-ANM is different from MIMO-SM as it can make the selection of the antennas in MIMO to be both channel and data dependent at the same time, resulting in what is called MIMO-ANM with adaptive antenna selection (MIMO-ANM-AAS), while MIMO-SM is unable to make the selection of the antennas channel-dependent because the indices of the selected antenna are purely data-dependent. By using such a transmission scheme, the overall reliability of the transmitted data stream can significantly be improved, which characterizes MIMO-ANM-AAS with much lower bit errors compared to MIMO-SM. In this paper, the concepts of MIMO-ANM and MIMO-ANM-AAS are established on the basis of conventional MIMO using binary phase shift keying (BPSK) symbol modulation over a Rayleigh fading channel. The validity of the system is investigated, where analytical and simulation results showing the bit error rate (BER) performance of the system are given. The numerical computer simulations furthermore compare the performances of MIMO-ANM-AAS with MIMO-SM to show its superiority, and the advantages of the concept are discussed. The acquired results show that MIMO-ANM-AAS offers highly reliable and resilient system thanks to its simultaneous bit transmission by different number of active antennas that can be made adaptive to the channel gains.

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“…Following the formulation of the instantaneous transmission rate, we model the outage probability infra [39]:…”

Section: Perceptual Outage Probabilitymentioning

confidence: 99%

Prospect Theory for Human-Centric Communications

Luo¹,

Dang²,

Shihada³

et al. 2019

Preprint

Self Cite

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Entering the 5G/6G era, the core concept of humancentric communications has intensified the search effort into analytical frameworks for integrating technological and nontechnological domains. Among non-technological domains, human behavioral, psychological, and socio-economic contexts are widely considered as indispensable elements for characterizing user experience (UE). In this study, we introduce the prospect theory as a promising methodology for modeling UE and perceptual measurements for human-centric communications. As the founding pillar of behavioral economics, the prospect theory proposes the non-linear quantity and probability perception of human psychology, which extends to five fundamental behavioral attributes that have profound implications for diverse disciplines. By expatiating on the prospect theoretic framework, we aim to provide a guideline for developing human-centric communications and articulate a novel interdisciplinary research area for further investigation.Index Terms-Human-centric communications, prospect theory, analytical framework, quality of experience (QoE), user behavior. K. Luo is with Graduate

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Enhanced Orthogonal Frequency-Division Multiplexing With Subcarrier Number Modulation

Cited by 40 publications

References 52 publications

OFDM With Hybrid Number and Index Modulation

OFDM With Hybrid Number and Index Modulation

Multiple Input Multiple Output with Antenna Number Modulation and Adaptive Antenna Selection

Prospect Theory for Human-Centric Communications

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