Intelligent and concise wireless networks

By Anselme Ndikumana Futureunmanned

In this article[1], the authors explore the concept of Intellicise (i.e., intelligent and concise) wireless networks, characterized by inherent intelligence and concise design. These networks stem from the principles of semantic communication. The paper presents a comprehensive framework for Intellicise wireless networks, including key components such as the Brain for Intellicise Wireless Networks (BIWN), Intellicise signal processing, information transmission, network organization, and service delivery. The authors also examine the enabling technologies and driving factors behind Intellicise wireless networks. Additionally, they discuss various applications and envision future services enabled by this technology. Finally, the article outlines the challenges associated with implementing Intellicise wireless networks and proposes potential solutions from a broad perspective.

[1] Zhang P, Xu W, Liu Y, Qin X, Niu K, Cui S, Shi G, Qin Z, Xu X, Wang F, Meng Y. Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges. IEEE Communications Surveys & Tutorials. 2024 Aug 13.

AI as a key bridge to 6G

By Anselme Ndikumana Futureunmanned

According to Huawei's article, the main platform for 6G services and applications will transition from mobile internet and smartphone apps to AI agents across various sectors. This shift means that AI will act as the key enabler for 6G. In the article, Huawei discussed the role of Artificial General Intelligence (AGI) in networking, along with various types of AI agent-powered 6G communications, such as machine-to-machine intent-driven communication and human-to-machine ultra-reliable low-latency communication.

Open RAN Testbeds with Controlled Air Mobility

By Anselme Ndikumana Futureunmanned

This manuscript [1], Open RAN Testbeds with Controlled Air Mobility, explores Open RAN testbeds with controlled air mobility. The authors examine several use cases, including UAVs as User Equipment (UEs), UAVs functioning as O-RUs, O-DUs, and O-CUs, the integration of UAV swarms in O-RAN, flying wireless backhaul within O-RAN, and device-to-device (D2D) communications supported by UAV-assisted O-RAN.

[1]. Mushi, Magreth, et al. "Open RAN Testbeds with Controlled Air Mobility." arXiv preprint arXiv:2301.11365 (2023).

Connecting Ground-Based and Flying Cars to 5G Networks serving Urban Areas

By Anselme Ndikumana Futureunmanned

Recently, companies have increasingly focused on developing new technologies for urban air mobility using flying cars to help reduce road congestion. However, the seamless integration of flying cars with ground-based vehicles within the 5G network, where ground vehicles can support flying cars with transit functions, has not been thoroughly investigated. Both flying and ground-based cars require various services, such as autonomous driving/piloting, path planning, and remote diagnostics. Supporting these services in 5G networks is challenging due to the high mobility of the vehicles and the stringent network latency requirements. Network slicing offers a promising solution, but comprehensive research on integrating flying and ground-based cars within network slicing is still missing from the literature.

This paper proposes a new approach for connecting ground-based and flying cars to 5G networks serving urban areas in the 5G Open RAN environment.  

Ndikumana A, Nguyen KK, Cheriet M. 5G Open RAN-Based Network Slicing for Connecting Ground-Based and Flying Cars Serving Urban Areas. IEEE International Conference on Communications 2024 Jun 9 (pp. 1764-1769). IEEE.

6G needs to be self-organizing and self-sustaining network

By Anselme Ndikumana Futureunmanned
 

Self-organizing and self-sustaining networks are essential for enabling the Internet of Everything (IoE). In the context of sixth-generation (6G) networks, the IoE aims to connect billions of people and devices to the Internet. This vision marks a shift from rate-centric services like further enhanced mobile broadband (FeMBB) to enhanced ultra-reliable low-latency communication (eURLLC) and ultra-massive machine-type communication (umMTC). The authors in [1] explored the applications of beyond 5G networks, focusing particularly on emerging issues in the PHY/MAC layers.

[1]. Nauman A, Nguyen TN, Qadri YA, Nain Z, Cengiz K, Kim SW. Artificial intelligence in beyond 5G and 6G reliable communications. IEEE Internet of Things Magazine. 2022 Mar;5(1):73-8.

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