As we transition from the mobile internet era to the ‘Cognitive Internet,’ a transformative change is occurring in our interaction with technology, data, and intelligence. The Cognitive Internet transcends the Cognitive Internet of Things (Cognitive IoT) by integrating intelligence across objects, systems, and domains dynamically. This paper explores the foundational elements, characteristics, and benefits of the Cognitive Internet, emphasizing the crucial role of Hybrid Edge Cloud (HEC) platforms. We highlight how resilient AI infrastructures support the proliferation of cognitive services, a Knowledge as a Service (KaaS) economy, enhanced decision-making autonomy, and sustainable digital progress. This paper serves as a guide for understanding and leveraging the Cognitive Internet’s potential, supported by case studies and real-world applications.

The massive growth of connected devices, including sensors and machines, is revolutionizing every aspect of human life. The socioeconomic impacts are significant and have already transformed many industries. In this article, we discuss some of the challenges of the explosion of devices and exponential growth in personal digital content and machine generated data. The centralized cloud architecture adopted in the early days of mobile Internet was designed primarily to allow access to data stored on the worldwide web. Today, use cases have evolved significantly. Humans and devices are now producing most of the data consumed on the Internet. As a result, the existing centralized cloud infrastructure is no longer efficient or sustainable. There is significant waste of network bandwidth to send terabytes of data to server farms that may be hundreds of kilometers away from the source and/or destination of data. The prevalent centralized cloud architecture does not adequately leverage massive amounts of computing resources on smart devices, which are idle most of the time. Moreover, despite all the efforts to reduce network latencies, communication to server farms is a major bottleneck for latency in many applications. We introduce a novel architectural approach to cloud decentralization called hybrid edge cloud (HEC) that minimizes network bandwidth usage, reduces communication latencies, and leverages resources on smart devices to reduce the burden on server farms and other centralized computing resources. HEC combines the benefits of new network technologies such as 5G and WiFi 6 in private and public clouds to leverage computing resources on smart devices to build a sustainable decentralized infrastructure for the hyper-connected world.

The purpose of this paper is to describe an enhanced approach to Multi-access Edge Computing (MEC). The new approach enables end-devices to act as cloud server nodes enabled by mimik hybrid edge cloud platform in close collaboration with MEC. We first review the client/server software architecture and its evolution to microservice architecture. We will then illustrate the benefits of the new appro...

FEBRUARY 2014, Vol. 52, No. 2 www.comsoc.org/commag … PASSIVE OPTICAL NETWORK ARCHITECTURES SERIES EDITORS: OSMAN S. GEBIZLIOGLU AND VIJAY JAIN SERIES EDITORIAL TROUBLESHOOTING PON NETWORKS EFFECTIVELY WITH CARRIER-GRADE ETHERNET AND WDM-PON RAFAEL SÁNCHEZ, JOSÉ ALBERTO HERNÁNDEZ, AND DAVID LARRABEITI TOWARD RELIABLE HYBRID WDM/TDM PASSIVE OPTICAL NETWORKS MOZHGAN MAHLOO, JIAJIA CHEN, LENA WOSINSKA, ABHISHEK DIXIT, BART LANNOO, DIDIER COLLE, AND CARMEN MAS MACHUCA DISCUS: AN END-TO-END SOLUTION FOR UBIQUITOUS BROADBAND OPTICAL ACCESS MARCO RUFFINI, LENA WOSINSKA, MOHAND ACHOUCHE, JIAJIA CHEN, NICK DORAN, FARSHEED FARJADY, JULIO MONTALVO, PETER OSSIEUR, BARRY O'SULLIVAN, NICK PARSONS, THOMAS PFEIFFER, XING-ZHI QIU …

Cellular technology has dramatically changed our society and the way we communicate. First it impacted voice telephony, and then has been making inroads into data access, applications, and services. However, today potential capabilities of the Internet have not yet been fully exploited by cellular systems. With the advent of 5G we will have the opportunity to leapfrog beyond current Internet capabilities.

In the February 2014 issue of IEEE Communications Magazine, the first part of this Feature Topic included nine articles that covered the range of visions for fifth generation (5G) wireless systems. This technology is expected to be standardized and deployed in the next five to ten years. This part of the Feature Topic will address in more detail many technical issues and technology approaches for ...

In the last year or so, significant momentum has started to build around the idea of a fifth generation (5G) for wireless communications technology. New research projects have started internationally, and research centers devoted to 5G technology have begun to open. At the ICC 2013 conference in Budapest, there were a number of keynote talks and special invited sessions addressing some of the key ...

This presentation is a radio and access-centric view of the challenges for the future networks. The talk will cover the multi band radio and device RF performance dilemma. Later in the talk the research challenge is presented.

MIMO (multiple input multiple output) techniques are widely employed to improve the performance of wireless systems. These techniques are used to overcome multipath fading and/or improve the peak throughput of wireless systems. It is well known that there is a fundamental tradeoff between diversity gain and multiplexing gain [1]. Orthogonal space time codes such as the Alamouti code (also known as space time block codes (STBC)) exploit multiple antennas as a diversity source, and thus improve packet error rate (PER) and the average throughput. However, space time block codes are not designed to increase the peak data rate of the system. On the other hand, spatial multiplexing (SM) techniques offer higher peak throughput by transmitting parallel streams of data from different antennas. In order to successfully decode the parallel streams, the channel must exhibit a small eigenvalue spread. Otherwise, the streams will interfere with one another and it is difficult to decode the information data. The performance improvement from SM is therefore highly dependent on the channel characteristics. It is possible to use multiple encoders and rate control per layer to improve the SM performance. However, there are instances of channel where STBC is more beneficial than SM with a single encoder. In order to resolve the shortcomings of STBC and SM, a hybrid technique can be applied where depending on the instantaneous channel conditions either STBC or SM is selected. This technique is commonly referred to as adaptive MIMO switching (AMS) [5]-[11]. One important aspect of the technique is the switching criteria, namely the PHY abstraction method which estimates a packet error event as a function of the instantaneous channel condition, transmission profiles, and receiver characteristics. We show that the proposed algorithm outperforms other techniques such as determinant and Demmel condition number based techniques in flat fading channel. In selective fading channels where a codeword sees a finite number of multiple channel qualities, estimating the resulting PER is very challenging. Existing techniques rely on an estimate of the average of the channel qualities seen by each codeword. In this paper, we propose a PHY abstraction and switching algorithm hereby referred to by weighted sum of instantaneous qualities (WSIQ) whereby the channel qualities are ordered in order to reduce the variance of channel qualities and then a weighted sum of the qualities is applied. The weighting vector is chosen to minimize the variance of the linear sum. We have provided simulations to show the superiority of WSIQ even when channel statistics are unknown. In addition, computationally efficient techniques suited for practical implementation are proposed.

In the last decade, we have witnessed revitalization of multi-carrier techniques, and in particular orthogonal frequency division multiplexing (OFDM) for wireless applications. For wireless applications, an OFDM air-interface is of interest, because it can turn a wideband frequency selective channel into narrowband frequency flat channels. This makes the receiver design particularly easy since it eliminates the need for equalizers and produces robustness to fading and other channel artifacts. Additionally, because OFDM produces time-frequency blocks in a natural manner, it leads to multiple-access techniques such as orthogonal frequency division multiple access (OFDMA).