TY - JOUR
T1 - Enhancing Radio Access Network Performance over LTE-A for Machine-to-Machine Communications under Massive Access
AU - Alsewaidi, Fatemah
AU - Doufexi, Angela
AU - Kaleshi, Dritan
PY - 2016/11/21
Y1 - 2016/11/21
N2 - The expected tremendous growth of machine-to-machine (M2M) devices will require solutions to improve random access channel (RACH) performance. Recent studies have shown that radio access network (RAN) performance is degraded under the high density of devices. In this paper, we propose three methods to enhance RAN performance for M2M communications over the LTE-A standard. The first method employs a different value for the physical RACH configuration index to increase random access opportunities. The second method addresses a heterogeneous network by using a number of picocells to increase resources and offload control traffic from the macro base station. The third method involves aggregation points and addresses their effect on RAN performance. Based on evaluation results, our methods improved RACH performance in terms of the access success probability and average access delay.
AB - The expected tremendous growth of machine-to-machine (M2M) devices will require solutions to improve random access channel (RACH) performance. Recent studies have shown that radio access network (RAN) performance is degraded under the high density of devices. In this paper, we propose three methods to enhance RAN performance for M2M communications over the LTE-A standard. The first method employs a different value for the physical RACH configuration index to increase random access opportunities. The second method addresses a heterogeneous network by using a number of picocells to increase resources and offload control traffic from the macro base station. The third method involves aggregation points and addresses their effect on RAN performance. Based on evaluation results, our methods improved RACH performance in terms of the access success probability and average access delay.
U2 - 10.1155/2016/5187303
DO - 10.1155/2016/5187303
M3 - Article (Academic Journal)
AN - SCOPUS:85005982551
SN - 1574-017X
VL - 2016
JO - Mobile Information Systems
JF - Mobile Information Systems
M1 - 5187303
ER -