Abstract
Massive Machine-Type Communications (mMTC) are one of the service types supported by 5G. These are characterized by the need to serve a large number of devices that have only sporadic traffic and which have low-energy consumption. While the non-intensive nature of the traffic does not pose much strain on efficient network planning, the requirement to serve a large number of devices certainly does. With the network resources being limited and the competition between users in the cell, an important question that arises is that of admission control, so that the admitted users can be successfully served by the network. To this end, in this paper, we provide the analysis that leads to an admission control policy. We do this for two types of users in terms of their traffic intensities and channel conditions: 1) homogeneous users, and 2) heterogeneous users. We validate our results on a trace. Results show that the number of admitted users depends on the traffic pattern but not on the channel conditions. An increase in traffic intensity by 15 times can decrease the number of admitted users by 15 times.
| Original language | English (US) |
|---|---|
| Title of host publication | Q2SWinet 2021 - Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 79-86 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781450390804 |
| DOIs | |
| State | Published - Nov 22 2021 |
| Event | 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2021 - Virtual, Online, Spain Duration: Nov 22 2021 → Nov 26 2021 |
Publication series
| Name | Q2SWinet 2021 - Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks |
|---|
Conference
| Conference | 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2021 |
|---|---|
| Country/Territory | Spain |
| City | Virtual, Online |
| Period | 11/22/21 → 11/26/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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