Abstract
This letter considers a wireless M2M communication
scenario with a massive number of M2M devices. Each device
needs to send its reports within a given deadline and with certain
reliability, e.g., 99.99%. A pool of resources available to all M2M
devices is periodically available for transmission. The number
of transmissions required by an M2M device within the pool
is random due to two reasons - random number of arrived
reports since the last reporting opportunity and requests for
retransmission due to random channel errors. We show how
to dimension the pool of M2M-dedicated resources in order to
guarantee the desired reliability of the report delivery within the
deadline. The fact that the pool of resources is used by a massive
number of devices allows to base the dimensioning on the central
limit theorem. The results are interpreted in the context of LTE,
but they are applicable to any M2M communication system.
scenario with a massive number of M2M devices. Each device
needs to send its reports within a given deadline and with certain
reliability, e.g., 99.99%. A pool of resources available to all M2M
devices is periodically available for transmission. The number
of transmissions required by an M2M device within the pool
is random due to two reasons - random number of arrived
reports since the last reporting opportunity and requests for
retransmission due to random channel errors. We show how
to dimension the pool of M2M-dedicated resources in order to
guarantee the desired reliability of the report delivery within the
deadline. The fact that the pool of resources is used by a massive
number of devices allows to base the dimensioning on the central
limit theorem. The results are interpreted in the context of LTE,
but they are applicable to any M2M communication system.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | I E E E Wireless Communications Letters |
| Vol/bind | 3 |
| Udgave nummer | 4 |
| Sider (fra-til) | 429-432 |
| ISSN | 2162-2337 |
| DOI | |
| Status | Udgivet - maj 2014 |