6 research outputs found
On Improving Throughput of Multichannel ALOHA using Preamble-based Exploration
Machine-type communication (MTC) has been extensively studied to provide
connectivity for devices and sensors in the Internet-of-Thing (IoT). Thanks to
the sparse activity, random access, e.g., ALOHA, is employed for MTC to lower
signaling overhead. In this paper, we propose to adopt exploration for
multichannel ALOHA by transmitting preambles before transmitting data packets
in MTC, and show that the maximum throughput can be improved by a factor of 2 -
exp(-1) = 1.632, In the proposed approach, a base station (BS) needs to send
the feedback information to active users to inform the numbers of transmitted
preambles in multiple channels, which can be reliably estimated as in
compressive random access. A steady-state analysis is also performed with fast
retrial, which shows that the probability of packet collision becomes lower
and, as a result, the delay outage probability is greatly reduced for a lightly
loaded system. Simulation results also confirm the results from analysis.Comment: 10 pages, 7 figures, to appear in the Journal of Communications and
Networks. arXiv admin note: substantial text overlap with arXiv:2001.1111