Title
Fundamentals of Throughput Maximization With Random Arrivals for M2M Communications.
Abstract
For wireless systems in which randomly arriving devices attempt to transmit a fixed payload to a central receiver, we develop a framework to characterize the system throughput as a function of arrival rate and per-device data rate. The framework considers both coordinated transmission (where devices are scheduled) and uncoordinated transmission (where devices communicate on a random access channel and a provision is made for retransmissions). Our main contribution is a novel characterization of the optimal throughput for the case of uncoordinated transmission and a strategy for achieving this throughput that relies on overlapping transmissions and joint decoding. Simulations for a noise-limited cellular network show that the optimal strategy provides a factor of four improvement in throughput compared with slotted ALOHA. We apply our framework to evaluate more general system-level designs that account for overhead signaling. We demonstrate that, for small payload sizes relevant for machine-to-machine (M2M) communications (200 bits or less), a one-stage strategy, where identity and data are transmitted optimally over the random access channel, can support at least twice the number of devices compared with a conventional strategy, where identity is established over an initial random-access stage and data transmission is scheduled.
Year
DOI
Venue
2013
10.1109/TCOMM.2014.2359222
IEEE Transactions on Communications
Keywords
DocType
Volume
Signal to noise ratio,Throughput,Base stations,Payloads,Frequency division multiaccess,Bandwidth,Performance evaluation
Journal
62
Issue
ISSN
Citations 
11
0090-6778
41
PageRank 
References 
Authors
1.78
22
4
Name
Order
Citations
PageRank
Dhillon Harpreet S.13096180.88
Howard C. Huang225134.55
Harish Viswanathan347768.86
Reinaldo A. Valenzuela41642254.84