Bursty data over CDMA: MAI self similarity, rate control and admission control
Proceedings - IEEE INFOCOM - Tập 1 - Trang 391-399 vol.1
Tóm tắt
We study bursty data communications in the downlink in code division multiple access (CDMA) systems. We first present a new model that simultaneously takes into account the traffic burstiness and time-varying fading for studying the multi-access interference (MAI), and characterize the MAI from a stochastic process perspective. This new approach enables us to understand the temporal correlation structure. Our finding reveals that the MAI exhibits scale-invariant burstiness and is "self similar" across multiple time scales. The MAI self similarity indicates the existence of a nontrivial predictive MAI structure, which we exploit to conduct resource allocation for interference management. In particular, we utilize the MAI temporal structure to construct a multiple time-scale interference predictor, which is used to predict the MAI level. Rate adaptation is then carried out based on the predicted MAI. Our results show that this rate control scheme achieves better performance than that of the packet-level predictor, and can yield significant performance gain. We also devise a joint rate control and admission control scheme. Specifically, observation time windows are divided into slots, and rate control based on interference prediction is conducted in each slot. Then, the corresponding throughput in each observation window is used for admission control. We also investigate the impact of feedback delay and data burstiness on the system performance.
Từ khóa
#Multiaccess communication #Admission control #Multiple access interference #Resource management #Communication system control #Data communication #Downlink #Communication system traffic control #Traffic control #FadingTài liệu tham khảo
10.1016/S0166-5316(99)00024-3
10.1007/978-1-4757-6268-6
taqqu, 1998, On estimating the intensity of long-range dependence in finite and infinite variance time series, A Practical Guide to Heavy Tails Statistical Techniques and Applications, 177
rappaport, 1996, Wireless Communications Principles and Practice
10.1109/ICC.1997.594995
10.1109/49.768205
10.1109/49.709447
mitra, 1996, A distributed power control algorithm for bursty transmission on cellular, spread spectrum wireless networks, Proc 5th WINLAB Workshop on Third Generation Wireless Information Networks, 201
10.1109/35.815453
verdu?, 1998, Multiuser Detection
10.1109/49.983362
viterbi, 1995, CDMA Principles of Spread Spectrum Communication
willinger, 1998, Self-similarity and heavy tails: Structural modeling of network traffic, A Practical Guide to Heavy Tails Statistical Techniques and Applications, 27
10.1109/90.554723
10.1109/18.915669
zhang, 0, Self-similarity of multi-access interference processes in bursty data CDMA networks, ISIT 2002
10.1109/INFCOM.1995.515865
10.1109/90.588096
10.1049/el:19911328
adler, 1998, A Practical Guide to Heavy Tails Statistical Techniques and Applications
10.1109/TWC.2003.811051
10.1109/49.709446
10.1109/90.803378
beran, 1994, Statistics for Long-Memory Processes
10.1109/25.289411
10.1109/90.650143