TY - GEN
T1 - On the Integration of IoT and Cloud Computing for Ultra-Reliable Spectrum Allocation in e-Health
AU - Andreou, Andreas
AU - Mavromoustakis, Constandinos X.
AU - Batalla, Jordi Mongay
AU - Markakis, Evangelos
AU - Bourdena, Athina
AU - Mastorakis, George
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Integrating cloud computing, IoT, and computational intelligence is crucial in e-health to ensure ultra-reliable communication, which is essential for health monitoring and telemedicine. This paper explores the complex spectrum requirements for ultra-reliable communication in next-generation networks, which are vital for seamless e-health applications. It introduces multi-operator network sharing as a solution to the growing spectrum demands, allowing devices to connect with base stations from multiple providers, thus improving connectivity and reliability. Through detailed analysis, we de-rive closed-form equations using meta-distributions to evaluate spectrum needs under different sharing setups, highlighting the balance between spectrum use and reliability, particularly in e-health scenarios. Findings indicate that multi-operator network sharing and multi-connectivity strategies significantly reduce spectrum requirements for e-health services, leading to more effective and reliable healthcare delivery. The fusion of next-generation technology with IoT and cloud computing marks a significant step towards advanced e-health applications, promising high-quality, accessible, and continuous healthcare services.
AB - Integrating cloud computing, IoT, and computational intelligence is crucial in e-health to ensure ultra-reliable communication, which is essential for health monitoring and telemedicine. This paper explores the complex spectrum requirements for ultra-reliable communication in next-generation networks, which are vital for seamless e-health applications. It introduces multi-operator network sharing as a solution to the growing spectrum demands, allowing devices to connect with base stations from multiple providers, thus improving connectivity and reliability. Through detailed analysis, we de-rive closed-form equations using meta-distributions to evaluate spectrum needs under different sharing setups, highlighting the balance between spectrum use and reliability, particularly in e-health scenarios. Findings indicate that multi-operator network sharing and multi-connectivity strategies significantly reduce spectrum requirements for e-health services, leading to more effective and reliable healthcare delivery. The fusion of next-generation technology with IoT and cloud computing marks a significant step towards advanced e-health applications, promising high-quality, accessible, and continuous healthcare services.
KW - network sharing
KW - network-wide
KW - spectrum
KW - ultra-reliable communication
UR - https://www.scopus.com/pages/publications/105002864654
U2 - 10.1109/CAMAD62243.2024.10942787
DO - 10.1109/CAMAD62243.2024.10942787
M3 - Conference contribution
AN - SCOPUS:105002864654
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
BT - 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2024
Y2 - 21 October 2024 through 23 October 2024
ER -