TY - GEN
T1 - Overlaying machine-To-machine (M2M) traffic over human-To-human (H2H) traffic in OFDMA system
T2 - 2016 International Conference on Selected Topics in Mobile and Wireless Networking, MoWNeT 2016
AU - Abebe, Ameha T.
AU - Kang, Chung G.
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016/6/20
Y1 - 2016/6/20
N2 - In this paper, we present a scheme to overlay machine-To-machine (M2M) traffic over human-To-human (H2H) communication under an orthogonal frequency division multiple access (OFDMA) framework. An intermittent short burst of M2M traffic is considered with a massive number of devices attempting to access the network. The proposed scheme solves the random access channel (RACH) congestion problem by allowing the massive M2M devices to share the whole spectrum of the system with H2H communication. The sporadic nature of M2M communication which also means a sparse activity vector allows compressive sensing for multiuser detection. It is also shown that the iterative order recursive least square (IORLS) algorithm can recover the M2M signals even if it is highly interfered by H2H communication. Moreover, we have also shown that a sporadic nature of M2M traffic allows for overlaying M2M users over H2H transmission without incurring a significant performance loss on H2H transmission.
AB - In this paper, we present a scheme to overlay machine-To-machine (M2M) traffic over human-To-human (H2H) communication under an orthogonal frequency division multiple access (OFDMA) framework. An intermittent short burst of M2M traffic is considered with a massive number of devices attempting to access the network. The proposed scheme solves the random access channel (RACH) congestion problem by allowing the massive M2M devices to share the whole spectrum of the system with H2H communication. The sporadic nature of M2M communication which also means a sparse activity vector allows compressive sensing for multiuser detection. It is also shown that the iterative order recursive least square (IORLS) algorithm can recover the M2M signals even if it is highly interfered by H2H communication. Moreover, we have also shown that a sporadic nature of M2M traffic allows for overlaying M2M users over H2H transmission without incurring a significant performance loss on H2H transmission.
KW - Compressive Sensing
KW - Human-To-Human (H2H)
KW - Iterative Order-recursive Least square (IORLS)
KW - Machine-To-Machine (M2M)
KW - Orthogonal Frequency Division Multiple Access (OFDMA)
KW - Sporadic Traffic
UR - http://www.scopus.com/inward/record.url?scp=84981295726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981295726&partnerID=8YFLogxK
U2 - 10.1109/MoWNet.2016.7496630
DO - 10.1109/MoWNet.2016.7496630
M3 - Conference contribution
AN - SCOPUS:84981295726
T3 - 2016 International Conference on Selected Topics in Mobile and Wireless Networking, MoWNeT 2016
BT - 2016 International Conference on Selected Topics in Mobile and Wireless Networking, MoWNeT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 April 2016 through 13 April 2016
ER -