TY - GEN
T1 - Capacity determination for deployment of managed mesh networks
AU - Li, Ruidong
AU - Ohnishi, Masaaki
AU - Peng, Chao
AU - Kafle, Ved P.
AU - Inoue, Masugi
PY - 2009
Y1 - 2009
N2 - We start systematical analysis on the performance of managed mesh network (MMN), which provides communication function in the concept of community service platform in a local region. Towards the performance evaluation framework for MMN, we herein analyze the capacity provision of one base station (BS) under the constraints of physical transmission rate and available spectrum using queueing theory. In the related work of capacity analysis on mesh network, most of them have not put effort on the determination of exact capacity, or they investigated backhaul mesh network, which is different from MMN. Some other researchers investigated the architecture similar to MMN, but they have not investigated actual traffic processed in the transmission queue. Our modeling solves these problems and determines the exact capacity provided by each BS in an MMN. At the same time, we perform extensive simulations to verify the correctness of our modeling under a set of scenarios with different main parameters. After model verification, we apply our modeling results to a city and show how the capacity of one user at peak time changes with the deployment cost.
AB - We start systematical analysis on the performance of managed mesh network (MMN), which provides communication function in the concept of community service platform in a local region. Towards the performance evaluation framework for MMN, we herein analyze the capacity provision of one base station (BS) under the constraints of physical transmission rate and available spectrum using queueing theory. In the related work of capacity analysis on mesh network, most of them have not put effort on the determination of exact capacity, or they investigated backhaul mesh network, which is different from MMN. Some other researchers investigated the architecture similar to MMN, but they have not investigated actual traffic processed in the transmission queue. Our modeling solves these problems and determines the exact capacity provided by each BS in an MMN. At the same time, we perform extensive simulations to verify the correctness of our modeling under a set of scenarios with different main parameters. After model verification, we apply our modeling results to a city and show how the capacity of one user at peak time changes with the deployment cost.
UR - https://www.scopus.com/pages/publications/77952861218
U2 - 10.1109/PIMRC.2009.5449998
DO - 10.1109/PIMRC.2009.5449998
M3 - 会议稿件
AN - SCOPUS:77952861218
SN - 9781424451234
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
BT - 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
T2 - 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
Y2 - 13 September 2009 through 16 September 2009
ER -