Device Clusters
(2025) EITM02 20251Department of Electrical and Information Technology
- Abstract
- The number of devices owned by a consumer is increasing and furthermore the collaboration between devices will increase to support enhanced user experience, as seen in the case of Extended Reality (XR) services. Moreover, the upsurge of Internet of Things (IoT) in several industries is leading to a rise in the number of wireless sensors. A common factor across the vast swath of devices is that they are battery operated making efficient power management a critical area of focus. Although the power management techniques defined in current Third Generation Partnership Program (3GPP) standards are effective, they introduce additional overhead on the network side - signaling for different User Equipments (UEs) individually and buffered... (More)
- The number of devices owned by a consumer is increasing and furthermore the collaboration between devices will increase to support enhanced user experience, as seen in the case of Extended Reality (XR) services. Moreover, the upsurge of Internet of Things (IoT) in several industries is leading to a rise in the number of wireless sensors. A common factor across the vast swath of devices is that they are battery operated making efficient power management a critical area of focus. Although the power management techniques defined in current Third Generation Partnership Program (3GPP) standards are effective, they introduce additional overhead on the network side - signaling for different User Equipments (UEs) individually and buffered scheduling are cumbersome on the network. Furthermore, when a device undergoes sustained operation, it consumes high amounts of power, which could ultimately lead to the device being rendered inoperable. This thesis explored power saving techniques for a device cluster considering their application aspects as well. The results obtained show benefits of the method proposed including redistribution of power consumption among the devices thereby reducing the heating up of more sensitive devices such as wearables. (Less)
- Popular Abstract
- In today’s world, it is common for one to feel like they are surrounded by smart devices. From smart appliances at home to industrial sensors, from the phone in our pockets to wristwatches, the number of devices keep growing. And these devices no longer work independently – they are beginning to function together with the help of Fifth Generation (5G) network technology to create richer and smoother experiences. This might bring into someone’s mind technologies like XR, where glasses, controllers, and sensors all have to work together in harmony.
But there is one challenge that almost all of these devices share: they run on batteries. Whether it’s a tiny IoT sensor, a fitness tracker or a smart speaker, each one has limited energy.... (More) - In today’s world, it is common for one to feel like they are surrounded by smart devices. From smart appliances at home to industrial sensors, from the phone in our pockets to wristwatches, the number of devices keep growing. And these devices no longer work independently – they are beginning to function together with the help of Fifth Generation (5G) network technology to create richer and smoother experiences. This might bring into someone’s mind technologies like XR, where glasses, controllers, and sensors all have to work together in harmony.
But there is one challenge that almost all of these devices share: they run on batteries. Whether it’s a tiny IoT sensor, a fitness tracker or a smart speaker, each one has limited energy. Utilizing this energy wisely has become one of the most important concerns in modern technology. Existing solutions help, but they often come with hidden costs, such as forwarding extra work to the network. And when these devices are used for long periods of time, they can burn through more power, sometimes even shutting them down entirely.
This study explores a fresh path ahead. Instead of letting every device carry the full burden of communication on its own, the idea is to let them work together in small groups. Within each group, one device takes responsibility and performs some of the tedious tasks, allowing the others to conserve energy. By spreading the workload, not only is the overall consumption of power reduced, but sensitive devices are less likely to overheat. In simple terms, it is about enabling devices to share responsibility – making them more efficient, more reliable, and ultimately, more user-friendly. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9214297
- author
- Thirupathi, Nitheesh LU
- supervisor
- organization
- course
- EITM02 20251
- year
- 2025
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- 5G (Fifth Generation), 3GPP (Third Generation Partnership Programme), XR (Extended Reality), IoT (Internet of Things), UE (User Equipment)
- report number
- LU/LTH-EIT 2025-1102
- language
- English
- id
- 9214297
- date added to LUP
- 2025-10-24 10:09:56
- date last changed
- 2025-10-24 10:09:56
@misc{9214297,
abstract = {{The number of devices owned by a consumer is increasing and furthermore the collaboration between devices will increase to support enhanced user experience, as seen in the case of Extended Reality (XR) services. Moreover, the upsurge of Internet of Things (IoT) in several industries is leading to a rise in the number of wireless sensors. A common factor across the vast swath of devices is that they are battery operated making efficient power management a critical area of focus. Although the power management techniques defined in current Third Generation Partnership Program (3GPP) standards are effective, they introduce additional overhead on the network side - signaling for different User Equipments (UEs) individually and buffered scheduling are cumbersome on the network. Furthermore, when a device undergoes sustained operation, it consumes high amounts of power, which could ultimately lead to the device being rendered inoperable. This thesis explored power saving techniques for a device cluster considering their application aspects as well. The results obtained show benefits of the method proposed including redistribution of power consumption among the devices thereby reducing the heating up of more sensitive devices such as wearables.}},
author = {{Thirupathi, Nitheesh}},
language = {{eng}},
note = {{Student Paper}},
title = {{Device Clusters}},
year = {{2025}},
}