H. D. Sheng and S. Q. Li, "Spectral analysis of packet loss rate at statistical multiplexer for multimedia services," IEEE/ACM Trans. Networking, vol. 2, pp. 53--65, Feb. 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....loss probability of session on link by the expectation of its instantaneous loss ratio. From (28) we get i.e. the loss probability of each session on link must be identical under the RP loss distribution. In practice, the RP loss distribution can be accomplished with selective cell discarding [29]. The following proposition states the end to end loss performance bounds for RPPS connections with buffer sharing. Proposition 4: Suppose that an RPPS connection is set up with and and the buffer at each node in the route is statistically shared by other connections on the node. Then, under RP ....

H. D. Sheng and S. Q. Li, "Spectral analysis of packet loss rate at statistical multiplexer for multimedia services," IEEE/ACM Trans. Networking, vol. 2, pp. 53--65, Feb. 1994.

....increase of its noise level in the neighborhood cells, which is not considered in our study. 1 For the purpose of comparison between the service PSD and the arrival PSD in queueing analysis, both power spectra and their frequency need to be normalized by the average channel capacity. Refer to [24] for the detail. 8 Similar performance is observed in Fig. 6c,d in the random driving. As compared to the directional driving in Fig. 6a,b, the random driving reveals much increased low frequency energy at each given m and E b =N 0 . This is because in our particular example the random driving ....

H.D. Sheng and S.Q. Li, "Spectral Analysis of Packet Loss Rate at a Statistical Multiplexer for Multimedia Services," IEEE/ACM Transactions on Networking, Vol. 2, No. 1, Feb. 1994, pp. 53-65.

....at 2Mbps, the average E b =N 0 at 10dB and the mobility at 5Kmph. 1 For the purpose of comparison between the service rate (i.e. channel) PSD and the data arrival PSD for queueing analysis, both power spectra and their frequency need to be normalized by the average channel capacity. Refer to [19] for the detail. 6 10dB 15dB 20dB 0 0.1 0.2 0.3 0.4 0 10 20 30 40 50 0 0.1 0.2 0.3 0.4 0 10 20 30 40 50 2Mbps 8Mbps 0 0.05 0.1 0.15 0.2 0 50 100 150 (a) b) c) normalized frequency normalized frequency P.S.D. P.S.D. normalized frequency 5Kmph 20Kmph 60Kmph ....

H.D. Sheng and S.Q. Li, "Spectral Analysis of Packet Loss Rate at a Statistical Multiplexer for Multimedia Services," IEEE/ACM Transactions on Networking, Vol. 2, No. 1, Feb. 1994, pp. 53-65.

....traffic, but none of them were able to quantitatively develop guidelines for transport of generic traffic subject to a maximum queueing delay. modulated Poisson process (CMPP) to match a wide range of P ( and f(x) in different frequrency regions. In relation to author s previous works [6, 7, 10, 15, 16, 17, 19], this paper focuses on the timescale decomposition in traffic measurement for link bandwidth allocation design. The paper is organized as follows. Section 2 provides the sample path deterministic analysis for the solution of ( L ; H ) along with the discussion of their significant implications ....

....through the design of , after fixing the power spectrum by and . The variance of the input rate distribution is equal to the average input power P N l=1 l . For the superposition of n independent input processes, their power spectra are directly additive except for the dc term [16]. Denote the power spectrum of the k th input process by P k ( and its dc term by 2 fl 2 k ffi( where fl k represents the average input rate. Excluding the dc term, one can generally write the overall power spectrum by P ( P 1 ( P 2 ( P n ( 15) Since the dc term in ....

H. D. Sheng and S. Q. Li, "Spectral Analysis of Packet Loss Rate at a Statistical Multiplexer for Multimedia Services," IEEE/ACM Trans. Networking, Vol. 2, No. 1, Feb. 1994, pp. 53-65.

....of a finite quasi birth death process. The Folding algorithm is used for queue length and loss rate performance evaluation. We choose K = 250 unless otherwise specified. Consider the superposition of n independent input processes. Their power spectra are directly additive except for the DC term [19]. Denote the power spectrum of the k th input process by P k ( and its DC term by 2 fl 2 k ffi ( where fl k represents the average input rate. Excluding the DC term, one can write the overall power spectrum by P ( P 1 ( P 2 ( Pn ( 17) Since the DC term in P ( is ....

....network engineers to solve real traffic management issues becomes increasingly important. Recently, the frequencydomain approach has been successfully applied to traffic rate control [21] to link capacity allocation and network control [15, 22] to design and analysis of buffer congestion control [19], to delay jitter correlation analysis of individual streams [23] and to input output low frequency linearity analysis [24] Appendix Proof of Eq. 1) Define R a ( Efa(t)a(t )g and R( Effl(t)fl(t )g, where a(t) is an MMPP and fl(t) is the corresponding input rate process ....

H. D. Sheng and S. Q. Li, "Spectral Analysis of Packet Loss Rate at a Statistical Multiplexer for Multimedia Services," IEEE/ACM Trans. Networking, Vol. 2, No. 1, Feb. 1994, pp. 53-65.

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H. D. Sheng and S. Q. Li,Spectral Analysis of Packet Loss Rate at a Statistical Multiplexer for Multimedia Services", IEEE/ACM Transactions on Networking, January 1994.

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