DS/SS indoor wireless communications with near-perfect multi-packet capture

Kyeong, Mun Geon; Cantrell, P.E.; Dowling, Tom

doi:10.1109/icupc.1994.383055

Cited by 3 publications

(2 citation statements)

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“…In a previous paper [8], the capture probability for the GCD model is derived by applying algebraic counting to a partitionkng problem in which a certain number of packet arrival times are arbitrarily distributed among Nu caps over the uncertainty interval Tu. The GCD capture probability is Nu(Nu-l)...(Nu-p+l)andT(n,p) satisfies the following recurrence formula:…”

Section: Davis and Gronemeyer [3] Ismentioning

confidence: 99%

“…With Nu = 30, for example, ns 900 yields C,, < which we set equal to zero (in[lo], Raychaudhuri used the probability of packet success P,(n) 5 to determine Given an equilibrium point n , an equilibrium throughput S can be easily calculated by numerically solving for Sin the transcendentalequationSout(n, S)-S = 0,where Sout(n, S) is given by(6),(8), or (10) depending on the capture model.…”

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confidence: 99%

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Exploiting discrete TOA randomization in local wireless communication networks

Kyeong

Proceedings of ICUPC '95 - 4th IEEE International Conference on Universal Personal Communications

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In this paper, two new delay capture models introduced in 181, 191, alternatives tu the classical Davis and Gronemeyer delay capture model, are compared to each other in terms of the capture and channel throughput perfomnces. A comparison between capture perfomnces for these three models is made, and the corresponding exact capture probability expressions are incorporated into system performance analyses to investigate the capture effect on the performance of proposed wireless networks. It is shown that the realization of optimum delay capture is possible with discrete time of arrival (TOA) randomization, and systems employing this capture model can sustain a throughput nearly equal to one packet per slot while maintaining excellent stability. 0 IEEE

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Section: Davis and Gronemeyer [3] Ismentioning

confidence: 99%

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confidence: 99%