ASSIA’s foundational value derives from unique assets and capabilities developed over nearly two decades to dynamically and proactively improve connectivity.

Dynamic Link Optimization (DLO) underpins most of our sustained and differentiated value. The diagram above illustrated this value in terms of a multiple-link connection where any link may experience uniquely learnable issues over its evolving and continued use.

Our systems and services dynamically monitor and learn the overall connection characteristics of each environment, as well as each link’s specific and time-varying traits, utilizing sophisticated machine learning algorithms. Our products then proactively optimize tunable controls to improve the connection’s overall stability and speed. Our Dynamic Link Optimization methods apply equally well to both wireline and wireless links.

Reinforcement Learning

Our reinforcement learning technologies adaptively determine the optimal values or state for a communication link’s tunable parameters for the best current and future performance; the state with the highest cumulative future reward.

Our cloud software remotely computes and updates these parameters for best-expected link operation, implementing an adaptive reinforcement learning algorithm for the communication link. More specifically, our server extracts current and historical performance data from active nodes to determine and update communication links’ tunable state parameters that are grouped into profiles. Servers dynamically re-profile links so that each link performs robustly at its highest reliable data rate. Reinforcement learning algorithms learn, track, and dynamically react to the links’ variation through this re-profiling process.

Our unique expertise resides in what information to collect, how often to collect it, and how to retain the essential information, discarding the rest.

In real-world implementations, our algorithms accurately identify when the collected data indicate that a situation most likely will lead to customer dissatisfactions before they actually happen and proactively re-profile the connection’s links so that the end-customer quality of experience (QoE) remains high. The mitigation of problems before the user perceives them, reduces customer service call volume substantially, while accurate diagnostics given to the call agent when a subscriber does call, reduces average call handling time, saving ISPs time and expense.

Multi-User MIMO (Vectored Transmission, and Distributed Synchronized Vectoring)

The multi-user MIMO/vectored transmission system largely eliminates the need for fiber all the way to an xDSL subscriber’s residence by providing Gbps data rates. ISPs highly value this because it avoids costly copper replacement by fiber in the final segment to subscriber homes. The economic savings are largest in this last segment because the fiber construction costs would otherwise be incurred to serve only one residence.

The average cost savings in most countries is around $3,000/subscriber.

In wireless service, our MU-MIMO technology allows a number of users (each needing only a single antenna at the device side) to transmit simultaneously in the same spectrum. For state-of-the-art Wi-Fi systems, this means up to 8, or soon 16, simultaneous users may occupy the same spectrum. For “Massive (MU)” MIMO systems, it means dozens or more users sharing the same base station spectra simultaneously at full bandwidth. This method is used on over 1 billion cellular connections globally as well as on nearly 1 billion Wi-Fi connections globally.

Diagnostics, Analytics, and Probing

Link improvement through automated re-profiling (or MU-MIMO) alone may not be sufficient to improve performance. In such cases, accurate diagnostics can help efficient identification and allow proper (proactive or reactive) manual intervention to further improve connection performance. For instance, accurate diagnostics can assist a tier-2 technician’s dispatch to the precise location to repair the correct link or equipment issue.

If the issue is intermittent and does not actually occur during the dispatch, our solution nevertheless flags it for repair in the dispatched technician’s action list. Non-ASSIA-assisted tier-2 visits at most ISPs have over 50% reporting “no trouble found” (NTF). Our diagnostics help reduce this number significantly, which greatly increases ISP operational savings.

In many cases, ASSIA’s diagnostics can also find opportunities for high probability upsells. Service-upgrade recommendations identify customers who are most likely to pay for a better service tier at higher reliable internet-connection speed. In other cases, our diagnostics can maximize the ISP’s network planning process’ return on investment (ROI) through optimized, targeted expense outlay in network upgrades.

Multi-Link Bonding and Ultra-Reliability

ASSIA invented and owns Figure 8’s pioneering multi-link bonding patents. Bonding increases speed and reliability through a combination of two or more (“backhauling”) Wide Area Networks (WAN) and one or more (in-home) Local Area Networks (LANs). The extra WAN backhaul path permits both higher bandwidth and higher reliability failover capabilities. These inventions are in heavy use today globally by service providers and smartphone equipment suppliers. In particular, we pioneered Wi-Fi and cellular connections’ joint use, enabling fixed mobile convergence, along with the use of two or more different Wi-Fi connections with separate backhauls.

Quality of Experience

A user’s Quality of Experience (QoE) is not the same as a link’s Quality of Service (QoS). QoE involves end-user satisfaction, which is more subjective than QoS metrics that can typically be monitored and measured from the relevant data communications channels. QoE can be measured in trouble-call/dispatch volumes, churn percentages, but also more recently in “thumbs-down” button hits, “like” button hits, filtered chat-room or chat-service comments, mean-opinion scores, exit-smiley/frown faces, or other more instantaneous consumer reactions.

Good QoE translates to lower costs and higher profits. Good QoE’s functional relationship to QoS can be learned through direct QoE collection for supervised training uses, and the subsequent use when QoE data may not be readily available but QoS data are available.

We have pioneered many of these concepts and continue to grow our expertise in them.

Quality of Experience and Application-Layer Optimization

QoE optimization that adapts a profile or policy targets the user’s actual, or estimated, QoE. Our products and systems use artificial intelligence (AI) to learn user/device/application-specific QoE-dependent best state machines. The profile or policy is learned to drive the estimated QoE to a setting that is the desired “optimal” QoE for the link.

An example is our innovative concept of the measurement and optimization of teleconference participant “workput” as a way for employers to value their employees’ productivity loss/gain caused by connectivity issues/improvements.

Network Virtualization and Sharing

Over the past decade, network virtualization, where hardware and software network resources and functionalities are combined into a single, typically software-based management or administrative entity, has become an important development in the communications and broadband industry. The usage of virtual networks, as well as the rapid migration of existing network elements into virtual network functions, is expected to continue and accelerate in the coming years, especially in wireless networks. This is largely due to the fact that such virtualization allows abstraction and sharing of costly infrastructure and spectral resources, resulting in significant operational cost reduction for new wireless network deployments. As an added benefit, software-based virtual networks also allow an easier and less costly migration path to newer technologies in the future.

More than 500 issued global patents protect ASSIA’s unique capabilities, with many essential to the underlying technologies in advanced wireline and wireless standards (like xDSL, powerline, cable, fiber, Wi-Fi, and cellular wireless for 4G, 5G, and beyond)

Our patent portfolio contains a large number of standard-essential patents (SEPs) that cover virtually every modern Wi-Fi, 4G, 5G, and xDSL link globally, which we license on a fair, reasonable, and non-discriminatory (FRAND) basis. Our IP portfolio also contains many additional patents, which are equally or even more widely used, that are not essential to standards but commercially necessary, providing product differentiating features the are valued by ISPs worldwide.

Virtualization delivers significant operating expense reductions for ISPs.

Patents

More than 500 issued global patents protect ASSIA’s unique capabilities, with many essential to the underlying technologies in advanced wireline and wireless standards (like xDSL, powerline, Wi-Fi, and cellular wireless for 4G, 5G, and beyond)

Our patent portfolio contains a large number of standard-essential patents (SEPs) that cover virtually every modern Wi-Fi, 4G, 5G, and xDSL link globally, which we license on a fair, reasonable, and non-discriminatory (FRAND) basis. Our IP portfolio also contains many additional patents, which are equally or even more widely used, that are not essential to standards, proving product differentiation features the are valued by ISPs worldwide.