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August 12, 2020 | International, C4ISR

Pentagon clears 100 MHz of spectrum for 5G development

The Pentagon has cleared 100 megahertz (MHz) of contiguous mid-band spectrum to be used for commercial 5G following a 15-week review, determining that they can share that bandwidth while minimizing impact on military radars.

While that 3450-3550 MHz mid-band spectrum is highly desired by commercial 5G developers, it's been historically used by the military for critical radar operations for air defense, missile and gunfire control, counter-mortar, bomb scoring, battlefield weapon locations, air traffic control, and range safety.

But now, leaders from the Department of Defense say the Pentagon can continue using the spectrum for those purposes while making it available for commercial development. DoD Chief Information Officer Dana Deasy said the department will move toward sharing most of that spectrum without limits while setting up a Spectrum Relocation Fund Transition Plan to minimize risks.

“DoD is proud of the success of the [America's Mid-Band Initiative Teams (AMBIT)] and is committed to working closely with industry after the FCC auction to ensure timely access to the band while protecting national security,” Deasy told reporters Aug. 10.

The White House and Department of Defense established AMBIT to free up spectrum for 5G development quickly back in April. Over a 15-week period, the working group was able to bring together 180 subject matter experts, and ultimately were able to identify 100 MHZ of spectrum used by the military that could be safely shared with commercial 5G efforts.The decision expands the amount of connected mid-band spectrum open for 5G development to 530 MHz.

The Federal Communications Commission will auction off the spectrum. One government official said action was expected by the end of this fiscal year.

https://www.c4isrnet.com/industry/2020/08/10/pentagon-clears-100-mhz-of-spectrum-for-5g-development/

On the same subject

  • DARPA Seeks to Make Scalable On-Chip Security Pervasive

    March 29, 2019 | International, C4ISR, Security, Other Defence

    DARPA Seeks to Make Scalable On-Chip Security Pervasive

    For the past decade, cybersecurity threats have moved from high in the software stack to progressively lower levels of the computational hierarchy, working their way towards the underlying hardware. The rise of the Internet of Things (IoT) has driven the creation of a rapidly growing number of accessible devices and a multitude of complex chip designs needed to enable them. With this rapid growth comes increased opportunity for economic and nation-state adversaries alike to shift their attention to chips that enable complex capabilities across commercial and defense applications. The consequences of a hardware cyberattack are significant as a compromise could potentially impact not millions, but billions of devices. Despite growing recognition of the issue, there are no common tools, methods, or solutions for chip-level security currently in wide use. This is largely driven by the economic hurdles and technical trade-offs often associated with secure chip design. Incorporating security into chips is a manual, expensive, and cumbersome task that requires significant time and a level of expertise that is not readily available in most chip and system companies. The inclusion of security also often requires certain trade-offs with the typical design objectives, such as size, performance, and power dissipation. Further, modern chip design methods are unforgiving – once a chip is designed, adding security after the fact or making changes to address newly discovered threats is nearly impossible. “Today, it can take six to nine months to design a modern chip, and twice as long if you want to make that same design secure,” said Serge Leef, a program manager in DARPA's Microsystems Technology Office (MTO). “While large merchant semiconductor companies are investing in in-house personnel to manually incorporate security into their high-volume silicon, mid-size chip companies, system houses, and start-ups with small design teams who create lower volume chips lack the resources and economic drivers to support the necessary investment in scalable security mechanisms, leaving a majority of today's chips largely unprotected.” To ease the burden of developing secure chips, DARPA developed the Automatic Implementation of Secure Silicon (AISS) program. AISS aims to automate the process of incorporating scalable defense mechanisms into chip designs, while allowing designers to explore economics versus security trade-offs and maximize design productivity. The objective of the program is to develop a design tool and IP ecosystem – which includes tool vendors, chip developers, IP licensers, and the open source community – that will allow security to be inexpensively incorporated into chip designs with minimal effort and expertise, ultimately making scalable on-chip security pervasive. Leef continued, “The security, design, and economic objectives of a chip can vary based on its intended application. As an example, a chip design with extreme security requirements may have to accept certain tradeoffs. Achieving the required security level may cause the chip to become larger, consume more power, or deliver slower performance. Depending on the application, some or all of these tradeoffs may be acceptable, but with today's manual processes it's hard to determine where tradeoffs can be made.” AISS seeks to create a novel, automated chip design flow that will allow the security mechanisms to scale consistently with the goals of the design. The design flow will provide a means of rapidly evaluating architectural alternatives that best address the required design and security metrics, as well as varying cost models to optimize the economics versus security tradeoff. The target AISS system – or system on chip (SoC) – will be automatically generated, integrated, and optimized to meet the objectives of the application and security intent. These systems will consist of two partitions – an application specific processor partition and a security partition implementing the on-chip security features. This approach is novel in that most systems today do not include a security partition due to its design complexity and cost of integration. By bringing greater automation to the chip design process, the burden of security inclusion can be profoundly decreased. While the threat landscape is ever evolving and expansive, AISS seeks to address four specific attack surfaces that are most relevant to digital ASICs and SoCs. These include side channel attacks, reverse engineering attacks, supply chain attacks, and malicious hardware attacks. “Strategies for resisting threats vary widely in cost, complexity, and invasiveness. As such, AISS will help designers assess which defense mechanisms are most appropriate based on the potential attack surface and the likelihood of a compromise,” said Leef. In addition to incorporating scalable defense mechanisms, AISS seeks to ensure that the IP blocks that make up the chip remain secure throughout the design process and are not compromised as they move through the ecosystem. As such, the program will also aim to move forward provenance and integrity validation techniques for preexisting design components by advancing current methods or inventing novel technical approaches. These techniques may include IP watermarking and threat detection to help validate the chip's integrity and IP provenance throughout its lifetime. AISS is part of the second phase of DARPA's Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5 billion investment in the future of domestic, U.S. government, and defense electronics systems. Under ERI Phase II, DARPA is exploring the development of trusted electronics components, including the advancement of electronics that can enforce security and privacy protections. AISS will help address this mission through its efforts to enable scalable on-chip security. DARPA will hold a Proposers Day on April 10, 2019 at the DARPA Conference Center, located at 675 North Randolph Street, Arlington, Virginia 22203, to provide more information about AISS and answer questions from potential proposers. For details about the event, including registration requirements, please visit: https://www.fbo.gov/index?s=opportunity&mode=form&id=6770487d820ee13f33af67b0980a7d73&tab=core&_cview=0 Additional information will be available in the forthcoming Broad Agency Announcement, which will be posted to www.fbo.gov. https://www.darpa.mil/news-events/2019-03-25

  • DARPA Funding Brings Machine Learning to BAE Systems’ Signals Intelligence Capabilities

    July 8, 2019 | International, Aerospace, Other Defence

    DARPA Funding Brings Machine Learning to BAE Systems’ Signals Intelligence Capabilities

    HUDSON, N.H.--(BUSINESS WIRE)--BAE Systems has been awarded funding from the Defense Advanced Research Projects Agency (DARPA) to integrate machine-learning (ML) technology into platforms that decipher radio frequency signals. Its Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution provides a reconfigurable hardware platform for ML algorithm developers to make sense of radio frequency (RF) signals in increasingly crowded electromagnetic spectrum environments. The up to $4.7 million contract, dependent on successful completion of milestones, includes hardware delivery along with integration and demonstration support. CHIMERA's hardware platform will enable algorithm developers to decipher the ever-growing number of RF signals, providing commercial or military users with greater automated situational awareness of their operating environment. This contract is adjacent to the previously announced award for the development of data-driven ML algorithms under the same DARPA program (Radio Frequency Machine Learning Systems, or RFMLS). RFMLS requires a robust, adaptable hardware solution with a multitude of control surfaces to enable improved discrimination of signals in the evolving dense spectrum environments of the future. “CHIMERA brings the flexibility of a software solution to hardware,” said Dave Logan, vice president and general manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Systems at BAE Systems. “Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.” In an evolving threat environment, CHIMERA will enable ML software development to adapt the hardware's RF configuration in real time to optimize mission performance. This capability has never before been available in a hardware solution. The system provides multiple control surfaces for the user, enabling on-the-fly performance trade-offs that can maximize its sensitivity, selectivity, and scalability depending on mission need. The system's open architecture interfaces allow for third party algorithm development, making the system future-proof and easily upgradable upon deployment. Other RF functions, including communications, radar, and electronic warfare, also can benefit from this agile hardware platform, which has a reconfigurable array, front-end, full transceiver and digital pre-processing stage. Work on these phases of the program will take place at BAE Systems' sites in Hudson and Merrimack, New Hampshire, and Dallas, Texas. https://www.businesswire.com/news/home/20190708005199/en

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    November 30, 2023 | International, Aerospace

    Saab signs support contract with South Korea for Arthur systems

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