Wireless and Communication Letters is focused on the technologies that enable today’s increasingly connected world. The journal will publish original letters, full-length research articles, comprehensive reviews, mini-reviews, and guest-edited thematic issues addressing both theoretical developments and practical applications. Its scope covers the complete communication chain, from antennas and radio-frequency hardware to signal processing, network architecture, cybersecurity, and intelligent software. By emphasizing the efficient dissemination of research, the journal aims to provide a rapid channel for findings that could influence the next generation of wireless infrastructure.

The technical challenges addressed by the journal are central to the future of digital connectivity. Fifth-generation networks have already introduced high-speed mobile broadband, ultra-reliable low-latency communication, and massive machine-type connectivity, but researchers are now investigating 6G systems capable of supporting even greater data rates, extremely precise sensing, and seamless integration with artificial intelligence. These systems may combine terahertz frequencies, reconfigurable intelligent surfaces, distributed antennas, edge computing, and advanced machine-learning algorithms. Such technologies require new approaches to spectrum allocation, energy efficiency, network coordination, and data security.

The journal also welcomes research on the Internet of Things and machine-to-machine communication, areas in which billions of sensors and devices are expected to exchange data with minimal human intervention. In these environments, communication protocols must operate reliably despite limited power, unpredictable radio conditions, and enormous numbers of connected nodes. Research into low-power wide-area networks, intelligent scheduling, network virtualization, and secure device authentication could help support applications ranging from industrial automation and smart cities to remote healthcare and environmental monitoring.

A further component of the journal’s scope involves the physical science of communication. Antenna design, electromagnetic propagation, microwave engineering, optical links, and satellite communication determine how information travels through real environments. Engineers must account for obstacles, atmospheric conditions, interference, polarization, bandwidth limitations, and the movement of users or spacecraft. Developments in compact antennas, beamforming, optical wireless communication, and satellite-terrestrial integration could improve connectivity in rural regions, disaster zones, transportation systems, and future space missions.

Wireless and Communication Letters is led by Editor-in-Chief Dr. Nasimuddin of the Antenna and Optical Department at the Institute for Infocomm Research in Singapore. Supported by an international editorial board, the journal states that it will apply a rigorous and objective peer-review process. This is particularly important in a field where theoretical claims must often be tested through simulations, prototypes, channel measurements, or performance comparisons. Research involving modulation, coding, information theory, cognitive radio, software-defined networking, artificial intelligence, privacy, and communication protocols will be considered within the journal’s broad technological remit.

Alongside the communications title, Bentham Science has introduced Current Engineering Letters and Reviews, an interdisciplinary journal intended to connect research across the full spectrum of engineering sciences. Announced on 3 August 2026, the journal will publish research articles, short communications, comprehensive reviews, mini-reviews, and thematic issues. Its mission is to bring together discoveries that are often separated into specialist fields, reflecting the reality that many modern technologies emerge from collaboration among mechanical, electrical, materials, chemical, biomedical, environmental, and computer engineers.

The new engineering journal will cover aerospace, civil, structural, transportation, manufacturing, energy, robotics, automation, nanotechnology, artificial intelligence, and digital engineering. It will also address sustainable engineering, renewable energy systems, smart materials, advanced manufacturing, and biomedical technologies. These subjects are increasingly connected: an electric vehicle, for example, depends simultaneously on materials science, power electronics, software, communications, manufacturing, and transportation engineering. An interdisciplinary publication can provide a forum for examining such systems as integrated technological platforms rather than isolated components.

The scientific importance of this approach is becoming more visible as engineers confront challenges involving climate change, resource efficiency, resilient infrastructure, and automation. Renewable energy systems require improved storage, power conversion, and grid management; smart materials can respond to changes in temperature, pressure, or electromagnetic fields; and artificial intelligence can optimize industrial processes by identifying patterns in large streams of sensor data. At the same time, engineering research must demonstrate reliability, scalability, safety, and economic feasibility if laboratory innovations are to produce measurable benefits in society and industry.

Both journals invite contributions from researchers, engineers, scientists, academics, and industry professionals worldwide. Bentham Science says that information about open-access policies, article processing charges, waiver eligibility, editorial policies, and complaints and appeals procedures is available through the respective journal websites. With their emphasis on rapid communication, technical rigor, and interdisciplinary exchange, the two publications seek to become new hubs for research at the intersection of connectivity, intelligent systems, sustainable technology, and engineering innovation.

Subject of Research: Wireless communications, communication engineering, interdisciplinary engineering research, emerging technologies, artificial intelligence, sustainable engineering, and advanced technological systems.

Article Title: Bentham Science Launches Two New Journals to Accelerate Research in Wireless Communications and Engineering

News Publication Date: 3 August 2026 (for the announcement of Current Engineering Letters and Reviews; no publication date is provided for Wireless and Communication Letters).

Keywords

Wireless communications, 5G, 6G, Internet of Things, satellite communications, antenna design, signal processing, artificial intelligence, engineering research, sustainable engineering, robotics, renewable energy, smart materials, advanced manufacturing.

The core of this innovation rests on understanding how biological systems perform complex computations with remarkable energy efficiency and resilience. Traditional electronic devices, while powerful, consume significant energy, particularly when performing nonlinear data transformations such as logarithmic conversions. Such transformations are essential in various fields, including audio signal processing, image compression, and telecommunications. By mimicking the molecular and cellular processes that living organisms use to handle vast amounts of data with minimal power expenditure, the researchers developed bioinspired circuits offering a transformative alternative.

Synthetic biology has long promised revolutionary advances by reprogramming living cells or designing novel biomolecules. However, its application to electronics has faced challenges related to interfacing biological materials with silicon-based technologies. The research team overcame these hurdles by engineering biomolecular components capable of functioning as fundamental electronic elements—resistors, capacitors, and transistors—inside a biological matrix. This biohybrid architecture leverages enzymatic reactions and genetic circuits to generate logarithmic responses, capturing the essence of natural signal processing pathways.

One notable aspect of these bioinspired systems is their remarkable ability to operate at ambient temperatures without the need for extensive cooling infrastructures typical in conventional electronics. Enzyme-mediated reactions that underpin the logarithmic function require orders of magnitude less energy than silicon transistors switching at high frequencies. This thermal advantage not only reduces energy consumption but also enhances device longevity and reliability—a crucial factor for applications in remote or resource-constrained environments.

The bioengineered logarithmic converters demonstrate tunability through genetic modulation and biomolecular concentration adjustments. This capacity allows for dynamic reconfiguration of device parameters, offering a level of flexibility rarely achievable in purely electronic systems. Adjusting reaction kinetics or protein expression levels reprograms the system in real time, enabling adaptive responses to varying input signals. Such adaptability mimics physiological feedback mechanisms, paving the way for self-regulating electronic circuits that optimize performance autonomously.

Furthermore, the integration of these synthetic biological components into existing electronic infrastructure was a significant focus for the researchers. By developing interfaces that transduce biochemical signals into electrical currents, the team ensured compatibility with standard microelectronic platforms. These biohybrid interfaces open possibilities for hybrid computation, where biological and electronic elements synergistically handle tasks based on their respective strengths—energy efficiency and processing speed—resulting in unparalleled system performance.

The implications of this research extend well beyond engineering. By embedding biological principles into computational hardware, new horizons in medical diagnostics, environmental monitoring, and wearable technology become accessible. Biosensors utilizing logarithmic conversion biochips could detect wide dynamic ranges of analytes with minimal power requirements, essential for continuous monitoring applications. Similarly, adaptive hearing aids and visual prosthetics could benefit from bioinspired logarithmic circuits mimicking natural sensory processing, enhancing user experience and reducing battery dependency.

Challenges remain in scaling and mass production. Biological components inherently face variability and sensitivity to environmental factors. The team addressed these concerns by devising robust genetic circuits insulated from external fluctuations and optimizing biochemical pathways to minimize noise. Encapsulation techniques and microfluidic delivery systems extend the functional lifetime of biohybrid devices, ensuring stability and reproducibility crucial for commercial viability.

In collaboration with materials scientists, the researchers also explored biocompatible substrates and biodegradable electronics, highlighting sustainability. By incorporating living cells or biomolecules into environmentally friendly materials, the end-of-life impact of electronic devices can dramatically decrease. This approach aligns with global efforts toward reducing electronic waste, merging ecological consciousness with technological advancement.

Moreover, the mathematical modeling underpinning these bioinspired logarithmic converters revealed deep insights into nonlinear biological computation. By translating enzymatic kinetics into circuit analogues, the team established design principles bridging biology and electrical engineering. These models enable predictive tuning of circuit behavior, accelerating development cycles and facilitating integration into complex electronic systems without extensive empirical iteration.

This transformative research also catalyzes new interdisciplinary collaboration, bringing together synthetic biologists, electrical engineers, computer scientists, and physicists. Such convergent efforts highlight the necessity of cross-domain expertise to tackle multifaceted challenges in modern technology. The study’s success demonstrates how merging disciplines can yield innovations unattainable within siloed approaches, setting a paradigm for future scientific inquiry.

Excitedly, this bioinspired methodology holds promise for advancing artificial intelligence hardware. Neuromorphic systems relying on analog computation could exploit logarithmic transformations executed through biocircuits, enabling faster, energy-saving computations that mimic neuronal logarithmic encoding of sensory input. This biological analog could vastly improve machine learning models running directly on specialized hardware, overcoming current constraints imposed by digital architectures.

The broader societal impact is profound. As energy consumption by data centers and personal electronics continues to surge, finding sustainable, efficient alternatives becomes imperative. This breakthrough in synthetic biology-enabled electronics offers a path toward greener computation, reducing carbon footprints associated with digital technology. Governments and industries are taking notice, exploring avenues for deploying these bioinspired devices at scale.

Educationally, this study provides a rich platform for inspiring the next generation of scientists and engineers. It showcases the thrill of innovation at the boundaries of knowledge, encouraging young researchers to explore hybrid disciplines and develop creative technological solutions. Importantly, the research presents a hopeful narrative of tapping nature’s wisdom to solve pressing human challenges, fostering a deeper respect for biological complexity.

In conclusion, the pioneering work led by Oren, Gupta, Habib, and colleagues represents a seminal leap in synthetic biology and electronics. By harnessing bioinspired designs for energy-efficient logarithmic data converters, they have unlocked new possibilities for sustainable, adaptive, and high-performance computing devices. This endeavor not only reshapes technological landscapes but also enriches our understanding of the interplay between biology and engineering, heralding a future where living systems and human-made electronics coalesce harmoniously.

Subject of Research: Synthetic biology applied to development of energy-efficient bioinspired electronic devices, specifically logarithmic data converters.

Article Title: Harnessing synthetic biology for energy-efficient bioinspired electronics: applications for logarithmic data converters.

Article References:
Oren, I., Gupta, V., Habib, M. et al. Harnessing synthetic biology for energy-efficient bioinspired electronics: applications for logarithmic data converters. Commun Eng (2026). https://doi.org/10.1038/s44172-026-00589-5

Image Credits: AI Generated

This cutting-edge system, founded on both volatile and non-volatile memristor technology, uniquely addresses the challenges that traditional DFT hardware faces. The volatile memristor arrays, specifically those composed of vanadium oxide, generate oscillatory waves that facilitate arbitrary radix transformations. This pivotal advancement allows for the calibration of frequency spectra in real-time, enabling greater flexibility in signal processing tasks. The system demonstrates an impressive maximum frequency of 1.74 MHz, coupled with an astonishing resolution of 50 Hz, effectively pushing the boundaries of what is possible with current DFT technology.

Moreover, the integration of non-volatile multilevel memristors made from tantalum oxide and hafnium oxide introduces crucial advantages for in-memory computing applications. By employing bipolar differential conductance mapping, this innovative approach enables parallel computations for signed discrete Fourier transforms. The result is a system capable of handling arbitrary radix values, reaching up to 2,048, and executing both uniform and non-uniform one-dimensional and two-dimensional DFTs with remarkable cross-window parallelism.

A significant feature of this hetero-integrated Fourier transform system lies in its ability to unify real and imaginary computations. This integrated approach streamlines the processing task, reducing the burden typically associated with separating real and imaginary parts in traditional methods. The system achieves an accuracy rating of up to 99.2%, a testament to its reliability and precision in processing complex signal data.

The operational complexity of the system is notably efficient, exhibiting a complexity of O(N), which aligns with the best practices in algorithm development for signal processing. Such efficiency paves the way for extensive applications across various fields, including telecommunications, audio engineering, and biomedical diagnostics. By significantly extending the capabilities of traditional DFT algorithms, this innovation stands at the forefront of enhancing analytical methodologies in complex signal environments.

One of the most impressive aspects of this new system is its throughput. With an astonishing capacity of 504.3 GSa^-1, this technology surpasses previous hardware solutions by a staggering 96.98 times. This leap in performance not only illustrates the system’s advanced engineering but also solidifies its potential to reshape how data is processed in real time. In practical applications, this could mean the difference between timely data interpretation and delays that can impact critical decision-making processes.

Furthermore, the integration of memristors offers the promise of reducing memory costs, an essential consideration in the age of big data where storage costs can be a significant factor. This aspect is particularly appealing to sectors that require rapid and efficient analysis of large volumes of data, such as financial markets or public health surveillance systems. Adopting this innovative technology could greatly enhance the efficiency and effectiveness of data-driven operations in these fields.

The implications of this technological advancement extend beyond mere performance metrics. This hetero-integrated system showcases how emerging technologies can converge to solve longstanding problems in engineering and electronics. Memristors, once confined to theoretical discussions, are now coming into practical application, showcasing their utility in facilitating the transformation and analysis of complex signals.

As more industries begin to recognize the value of this technology, we can anticipate a broader adoption of memristor-based systems in various applications. The ability to generate frequency spectra efficiently and accurately will likely result in improved innovations across a diverse array of sectors, from smart technology innovations to advancements in machine learning algorithms that rely on advanced signal processing capabilities.

Moreover, academic institutions and research facilities are likely to explore the potential of this technology further, possibly leading to new methodologies in signal processing that leverage the unique properties of memristors. This could usher in a new era of computational techniques that optimize performance while minimizing resource consumption, pushing the boundaries of what can be achieved in signal processing and beyond.

In conclusion, the advent of a hetero-integrated Fourier transform system utilizing memristors marks a significant milestone in signal processing technology. By innovatively combining volatile and non-volatile memristor arrays, this system not only overcomes previous limitations but also sets a new standard for data processing speed, accuracy, and versatility. As researchers and industry players capitalize on this technology, we are well on our way to witnessing revolutionary changes in how we analyze and interpret signals across numerous applications, from telecommunications to smart devices.

The future is bright for Fourier transform systems as this extraordinary innovation positions itself as a catalyst for further advancements in technology, ensuring that the analysis of signals will continue to evolve in efficiency and effectiveness.

Subject of Research: Hetero-Integrated Fourier Transform System Based on Memristors

Article Title: A first-principles hetero-integrated Fourier transform system based on memristors

Article References: Cai, L., Tao, Y., Zhang, T. et al. A first-principles hetero-integrated Fourier transform system based on memristors. Nat Electron (2026). https://doi.org/10.1038/s41928-025-01534-8

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41928-025-01534-8

Keywords: Fourier transform, memristors, discrete Fourier transform, signal processing, efficiency, performance, technology integration, real-time analysis, computational techniques.

The research team meticulously examined the Doppler tracking data collected during Cassini’s flybys around Titan, leveraging state-of-the-art techniques to enhance signal quality and reduce noise. Unlike prior analyses, this study exploited an advanced phase-averaging technique that significantly improved the precision of frequency measurements, effectively refining constraints on Titan’s gravity field and tidal response. By processing both X/Ka and X/X-band Doppler data with a novel signal processing approach inspired by other planetary missions, researchers improved the detection of subtle tidal signals that are key to probing Titan’s internal structure.

Central to the analysis is the determination of Titan’s tidal Love number, (k_2), a dimensionless measure of the moon’s deformation in response to Saturn’s gravitational pull. Typically, a high (k_2) value along with a measurable phase lag in the response would suggest the existence of a subsurface ocean or liquid layer, which reduces the moon’s rigidity and enhances tidal deformation. However, the Cassini data, examined using refined gravity and tidal models that account for the satellite’s layered interior and atmospheric influences, detect a strong tidal dissipation signal incompatible with that expected from a liquid ocean.

The interior modeling incorporated a detailed multi-layer structure reflecting Titan’s rocky core, a complex hydrosphere comprising potential ocean and ice layers, and a thick ice shell subdivided to account for thermal convection and viscoelastic properties. Employing state-of-the-art thermodynamic equations of state alongside viscoelastic rheologies, the team applied Markov Chain Monte Carlo (MCMC) inversion methods to explore thousands of plausible internal configurations. This rigorous approach revealed that models including a subsurface ocean consistently failed to reconcile with observed geophysical constraints, while oceanless models with cold, convective ice shells succeeded in matching both Titan’s mass distribution and tidal response.

One of the most striking findings is that Titan’s thick ice shell, estimated at approximately 170 kilometers, operates predominantly in a stagnant lid regime. This means that the ice shell is composed of an outer rigid lid over a convective interior, efficiently transporting heat generated by tidal and radiogenic sources. The team quantified the maximum heat flux sustainable by this configuration using convection scaling laws, concluding that Titan’s ice shell alone can dissipate all internally generated heat without melting. This thermal balance strongly undermines the hypothesis of a liquid ocean, suggesting instead a completely frozen hydrosphere.

Energy dissipation due to tidal forces is further reflected in orbital evolution parameters. The measured imaginary component of (k_2), which directly correlates with tidal quality factor (Q), indicates a much higher internal friction in Titan’s ice shell than would be present if an ocean decoupled the layers. The resulting orbital eccentricity damping timescale of around 30 million years implies that Titan’s orbit is being actively circularized, consistent with significant internal energy loss. Moreover, accounting for Titan’s internal dissipation modifies interpretations of Saturn’s own tidal quality factor, hinting that Saturn dissipates tidal energy more efficiently than previously estimated.

The study’s improvements in spacecraft dynamics modeling also deserve attention. Researchers incorporated relativistic corrections, spherical harmonic expansions for Titan’s and Saturn’s gravity fields, and detailed atmospheric mass redistribution effects, ensuring that even minute perturbations were accurately considered. This comprehensive modeling framework corrected earlier ambiguities and strengthened the robustness of geophysical parameter estimations.

From a broader perspective, understanding Titan’s interior evolution has profound implications for planetary science and astrobiology. Prior to this discovery, the possibility of a subsurface ocean had fueled speculation about Titan’s habitability, as liquid water environments are prime candidates for life. The absence of such an ocean reframes expectations and focuses attention on alternative environments, such as the surface hydrocarbon lakes or potential pockets of localized melt.

The research also exemplifies progress in analyzing spacecraft radio science data, underscoring the value of innovative signal processing techniques. By harnessing refined phase compression methods and iterative dynamic modeling, scientists improved measurement accuracies by up to 30%, setting new standards for future planetary exploration efforts.

Moreover, the study highlights the pivotal role of tidal heating in shaping the thermal and orbital history of icy satellites. Titan emerges as a vivid example of how tidal dissipation can profoundly influence internal structure and orbital dynamics without necessarily sustaining liquid layers. This understanding could inform interpretations of other moons and exoplanets exhibiting similar gravitational interactions.

In this context, Titan’s thick convective ice shell not only explains its current thermal state but also constrains its geophysical behavior and evolutionary timescales. The findings prompt reevaluation of thermal models, encouraging care in assumptions about layer viscosities, composition, and phase transitions within icy bodies.

Overall, this research is a testament to the power of integrated analyses combining mission data, advanced modeling, and rigorous statistical methods. It bridges gaps between observational data and theoretical predictions, delivering a transformative perspective on Titan’s interior that will influence planetary science debates for years to come.

This paradigm shift opens new avenues for exploration, inviting scientists to revisit Titan’s enigmatic environment armed with sharper tools and refined theories. By excluding a global subsurface ocean, the findings challenge long-held narratives and inspire fresh hypotheses about the processes sculpting this distant, captivating world.

Subject of Research: Interior structure and tidal dissipation of Titan, Saturn’s largest moon.

Article Title: Titan’s strong tidal dissipation precludes a subsurface ocean.

Article References:
Petricca, F., Vance, S.D., Parisi, M. et al. Titan’s strong tidal dissipation precludes a subsurface ocean. Nature 648, 556–561 (2025). https://doi.org/10.1038/s41586-025-09818-x

Image Credits: AI Generated

DOI: 18 December 2025

Keywords: Titan, tidal dissipation, subsurface ocean, Cassini mission, interior structure, tidal Love number, ice shell convection, radio science data, gravity field, thermal budget, planetary geophysics, icy moons