Alcatel Lucent Bell labs
The densification of the urban population and the rise of smart cities applications foster the need for capillary networks collecting data from sensors monitoring the cities. Among the multiple networking technologies, cellular networks such as LTE-A are considered for they bring an ubiquitous coverage of most cities. It is therefore necessary to understand how to adapt LTE-A, and what should be future 5G architecture, in order to provide connectivity to Machine to Machine (M2M) devices alongside their main target, Human to Human (H2H) devices. Indeed, cellular random access procedures are known to suffer from congestion in presence of large numbers of devices, while smart cities scenario expect huge density of M2M devices. Several solutions have been investigated for the enhancement of LTE access management strategy. to the modeling and computation of the capacity of the LTE-A Random Access Channel (RACH) in terms of simultaneous successful access. In particular, we investigate the hypothesis of piggybacking the payload of Machine Type Communications (MTC) from M2M devices within the RACH procedure and show that realistic throughput could be supported.