Results 51 to 60 of about 3,561,501 (169)
Rate-Splitting Multiple Access for URLLC Uplink in Physical Layer Network Slicing With eMBB
In this paper, we investigate the problem of heterogeneous service coexistence in the scope of 5G and beyond (B5G) networks, where multiple ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) users are connected to a ...
Elco Joao Dos Santos +2 more
doaj +1 more source
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik +5 more
wiley +1 more source
Faster Together: The Case for the Integration of Critical MTC and HTC
We investigate a future cellular network scenario where many human and machine terminals respectively need broadband connectivity (eMBB— enhanced mobile broadband—service), and low latency and high reliability in data transfer (cMTC—
Vincenzo Mancuso +3 more
doaj +1 more source
Optimised Pairing–Based Fair Resource Management in LTE‐Advanced Device‐to‐Device Communications
This paper addresses the challenges of interference management and resource allocation in LTE‐Advanced Device‐to‐Device (D2D) communications. It proposes a comprehensive framework integrating optimal pairing, resource allocation, and power assignment to maximize network performance.
Siavash Rajabi +3 more
wiley +1 more source
Network Slicing for URLLC and eMBB with Max-Matching Diversity Channel Allocation [PDF]
This work considers the problem of radio resource sharing between enhanced mobile broadband (eMBB) and ultrareliable and low latency communications (URLLC), two heterogeneous 5G services. More specifically, we propose the use of a max-matching diversity (
Souza, Richard Demo +3 more
core +1 more source
This study introduces a meta‐federated deep reinforcement learning (Meta‐FedDRL) framework to address dynamic resource allocation (DRA) challenges in ultra‐dense and heterogeneous 5G and beyond network slicing. The proposed approach enables distributed learning while preserving data confidentiality and enhancing generalization.
Faustin Samafou +4 more
wiley +1 more source
Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey
Next generation of wireless networks are characterized by two main features named Enhanced Mobile Broadband (eMBB) and Ultra Reliable Low Latency Communications (URLLC).
Bhagawat Adhikari +2 more
doaj +1 more source
Energy‐Efficient M2M Scheduling Over Cellular Networks: A Survey
Energy consumption has been one of the major challenges that researchers have been studying to mitigate the energy efficiency problem in M2M communication. This paper presents a comprehensive survey of scheduling techniques aimed at optimising energy consumption in M2M communication.
Moses Kwasi Torkudzor +5 more
wiley +1 more source
Latency-Aware Offloading in Integrated Satellite Terrestrial Networks
Next-generation communication networks are expected to integrate newly-used technologies in a smart way to ensure continuous connectivity in rural areas and to alleviate the traffic load in dense regions. The prospective access network in 6G should hinge
Wiem Abderrahim +3 more
doaj +1 more source
A Stacked Ensemble‐Based Effective DOA Estimation of mmWave mMIMO Systems With Array Imperfections
Antenna array imperfections are one of the practical limitations in the estimation of Direction of Arrival (DOA) in millimetre‐wave (mmWave) 5G massive multiple‐input multiple‐output (mMIMO) systems, and this leads to performance degradation of DOA estimation. A novel stacked ensemble‐based regression model is proposed to characterise a realistic array
S. Aquino, G. Vairavel, Shikha Binwal
wiley +1 more source

