TY - GEN
T1 - Multiple regression analysis of IEEE 802.16j relay network throughput
AU - Higo, Kohei
AU - Hasegawa, Go
AU - Taniguchi, Yoshiaki
AU - Nakano, Hirotaka
AU - Matsuoka, Morito
PY - 2014
Y1 - 2014
N2 - In IEEE 802.16J relay networks, time division multiple access (TDMA) is adopted for sharing wireless network resources while avoiding radio wave interference. Time slot assignment determines the degree of spatial reuse of wireless network resources and radio interference strength, which affects network performance. The relay network performance is also influenced by various factors, such as background noise level, path loss exponent, density of relay nodes, and transmission signal strength. In this paper, we present the results of multiple regression analysis of IEEE 802.16J relay network throughput. We first summarize the network environment parameters that affect the throughput of relay networks and conduct extensive simulation experiments with various sets of parameter values. From the simulation results, we investigate the relative effect of parameters on throughput performance by multiple regression analysis. The analysis results show that background noise level and path loss exponent are the key parameters for determining relay network throughput. We also obtain a regression equation to estimate the throughput with enough accuracy.
AB - In IEEE 802.16J relay networks, time division multiple access (TDMA) is adopted for sharing wireless network resources while avoiding radio wave interference. Time slot assignment determines the degree of spatial reuse of wireless network resources and radio interference strength, which affects network performance. The relay network performance is also influenced by various factors, such as background noise level, path loss exponent, density of relay nodes, and transmission signal strength. In this paper, we present the results of multiple regression analysis of IEEE 802.16J relay network throughput. We first summarize the network environment parameters that affect the throughput of relay networks and conduct extensive simulation experiments with various sets of parameter values. From the simulation results, we investigate the relative effect of parameters on throughput performance by multiple regression analysis. The analysis results show that background noise level and path loss exponent are the key parameters for determining relay network throughput. We also obtain a regression equation to estimate the throughput with enough accuracy.
KW - IEEE 802.16J
KW - SINR
KW - multiple regression analysis
KW - throughput
KW - time slot assignment
UR - http://www.scopus.com/inward/record.url?scp=84899029140&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899029140&partnerID=8YFLogxK
U2 - 10.1109/ICACT.2014.6778998
DO - 10.1109/ICACT.2014.6778998
M3 - Conference contribution
AN - SCOPUS:84899029140
SN - 9788996865032
T3 - International Conference on Advanced Communication Technology, ICACT
SP - 437
EP - 441
BT - 16th International Conference on Advanced Communication Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014
Y2 - 16 February 2014 through 19 February 2014
ER -