Journal of Communications and Information Networks

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This paper proposes a grouping decision algorithm for random access networks with the carrier sense multiple access (CSMA) mechanism, which can balance the traffic load and solve the hidden terminal issue. Considering the arrival characteristics of ter…

The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configured, and managed. Recent advancements in large language models (LLMs) hav…

It is widely recognized that the future wireless networks are able to efficiently slice heterogeneous resources to provide customized services for various use cases. However, it is challenging to meet the diverse requirements of ever-growing applicatio…

Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack precision due to model mismatch errors or network gener…

The incredible progress in technologies has drastically increased the usage of Web applications. Users share their credentials like userid and password or use their smart cards to get authenticated by the application servers. Smart cards are handy to u…

Over-the-air computation (AirComp) has recently emerged as a promising multiple-access technique for fast wireless data aggregation (WDA) from distributed wireless devices (WDs). This paper investigates an energy harvesting (EH) AirComp system, in whic…

Reconfigurable intelligent surfaces (RIS) play a vital role in meeting the growing demand for higher data rates and reliability in wireless systems. This study focuses on analyzing the performance of RIS systems to gain a deeper understanding of their …

The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configured, and managed. Recent advancements in large language models (LLMs) hav…

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