TY - JOUR
T1 - Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks
AU - Wang, Gang
AU - Zhong, Yi
AU - Li, Rongpeng
AU - Ge, Xiaohu
AU - Quek, Tony Q.S.
AU - Mao, Guoqiang
N1 - Funding Information:
Manuscript received September 17, 2019; revised February 10, 2020 and June 22, 2020; accepted August 17, 2020. Date of publication August 26, 2020; date of current version November 18, 2020. This research was supported by the National Natural Science Foundation of China (NSFC) grants No. 61701183 and No. 61701439, and in part by the Fundamental Research Funds for the Central Universities through grant 2018KFYYXJJ139 and the Cheng Tsang Man Chair Professorship. This article was presented in part at the 2018 IEEE Global Communications Conference (GLOBECOM). The associate editor coordinating the review of this article and approving it for publication was N. Pappas. (Corresponding author: Yi Zhong.) Gang Wang, Yi Zhong, and Xiaohu Ge are with the School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China (e-mail: yzhong@hust.edu.cn).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - The traffic in wireless networks has become diverse and fluctuating both spatially and temporally due to the emergence of new wireless applications and the complexity of scenarios. The purpose of this paper is to quantitatively analyze the impact of the wireless traffic, which fluctuates both spatially and temporally, on the performance of the wireless networks. Specially, we propose to combine the tools from stochastic geometry and queueing theory to model the spatial and temporal fluctuation of traffic, which to our best knowledge has seldom been evaluated analytically. We derive the spatial and temporal statistics, the total arrival rate, the stability of queues and the delay of users by considering two different spatial properties of traffic, i.e., the uniformly and non-uniformly distributed cases. The numerical results indicate that although the fluctuation of traffic (reflected by the variance of total arrival rate) when the users are clustered is much fiercer than that when the users are uniformly distributed, the unstable probability is smaller. Our work provides a useful reference for the design of wireless networks when the complex spatio-temporal fluctuation of the traffic is considered.
AB - The traffic in wireless networks has become diverse and fluctuating both spatially and temporally due to the emergence of new wireless applications and the complexity of scenarios. The purpose of this paper is to quantitatively analyze the impact of the wireless traffic, which fluctuates both spatially and temporally, on the performance of the wireless networks. Specially, we propose to combine the tools from stochastic geometry and queueing theory to model the spatial and temporal fluctuation of traffic, which to our best knowledge has seldom been evaluated analytically. We derive the spatial and temporal statistics, the total arrival rate, the stability of queues and the delay of users by considering two different spatial properties of traffic, i.e., the uniformly and non-uniformly distributed cases. The numerical results indicate that although the fluctuation of traffic (reflected by the variance of total arrival rate) when the users are clustered is much fiercer than that when the users are uniformly distributed, the unstable probability is smaller. Our work provides a useful reference for the design of wireless networks when the complex spatio-temporal fluctuation of the traffic is considered.
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U2 - 10.1109/TCOMM.2020.3019534
DO - 10.1109/TCOMM.2020.3019534
M3 - Article
AN - SCOPUS:85096724196
VL - 68
SP - 7083
EP - 7097
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 1558-0857
IS - 11
M1 - 9178346
ER -