TY - JOUR
T1 - Uplink scheduling and power allocation for M2M communications in SC-FDMA-Based LTE-A networks with qos guarantees
AU - Ghavimi, Fayezeh
AU - Lu, Yu Wei
AU - Chen, Hsiao Hwa
N1 - Funding Information:
Manuscript received May 16, 2016; revised October 1, 2016; accepted November 14, 2016. Date of publication December 2, 2016; date of current version July 14, 2017. This work was supported in part by Taiwan Industrial Technology Research Institute research under Grant M0-10309-6 and in part by the Taiwan Ministry of Science and Technology under Grant 104-2221-E-006-081-MY2. The review of this paper was coordinated by Prof. A. Jamalipour.
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2017/7
Y1 - 2017/7
N2 - Providing diverse and strict quality-of-service (QoS) guarantees is one of the most important requirements in machine-to-machine (M2M) communications, which is particularly need for appropriate resource allocation for a large number of M2M devices. To efficiently allocate resource blocks (RBs) for M2M devices while satisfying QoS requirements, we propose group-based M2M communications, in which M2M devices are clustered based on their wireless transmission protocols, their QoS characteristics, and their requirements. To perform joint RB and power allocation in SC-FDMA-based LTE-A networks, we formulate a sum-throughput maximization problem, while respecting all the constraints associated with SC-FDMA scheme, as well as QoS requirements in M2M devices. The constraints in uplink SC-FDMA air interface in LTE-A networks complicate the resource allocation problem. We solve the resource allocation problem by first transforming it into a binary integer programming problem and then formulate a dual problem using the Lagrange duality theory. Numerical results show that the proposed algorithm outperforms traditional Greedy algorithm in terms of throughput maximization while satisfying QoS requirements, and its performance is close to the optimal design.
AB - Providing diverse and strict quality-of-service (QoS) guarantees is one of the most important requirements in machine-to-machine (M2M) communications, which is particularly need for appropriate resource allocation for a large number of M2M devices. To efficiently allocate resource blocks (RBs) for M2M devices while satisfying QoS requirements, we propose group-based M2M communications, in which M2M devices are clustered based on their wireless transmission protocols, their QoS characteristics, and their requirements. To perform joint RB and power allocation in SC-FDMA-based LTE-A networks, we formulate a sum-throughput maximization problem, while respecting all the constraints associated with SC-FDMA scheme, as well as QoS requirements in M2M devices. The constraints in uplink SC-FDMA air interface in LTE-A networks complicate the resource allocation problem. We solve the resource allocation problem by first transforming it into a binary integer programming problem and then formulate a dual problem using the Lagrange duality theory. Numerical results show that the proposed algorithm outperforms traditional Greedy algorithm in terms of throughput maximization while satisfying QoS requirements, and its performance is close to the optimal design.
UR - http://www.scopus.com/inward/record.url?scp=85029725292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029725292&partnerID=8YFLogxK
U2 - 10.1109/TVT.2016.2635262
DO - 10.1109/TVT.2016.2635262
M3 - Article
AN - SCOPUS:85029725292
SN - 0018-9545
VL - 66
SP - 6160
EP - 6170
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
M1 - 7765025
ER -