改進(jìn)的多信道S-ALOHA暫態(tài)性能分析辦法及其應(yīng)用

簡(jiǎn)鑫; 曾孝平; 譚曉衡; 田蜜; 苗麗娟

doi:10.11999/JEIT151207

改進(jìn)的多信道S-ALOHA暫態(tài)性能分析辦法及其應(yīng)用

doi: 10.11999/JEIT151207

基金項(xiàng)目:

國家自然科學(xué)基金(91438104, 61571069, 61501065)，中央高校基本科研業(yè)務(wù)費(fèi)(106112015CDJXY160002)

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出版歷程
- 收稿日期: 2015-10-29
- 修回日期: 2016-02-19
- 刊出日期: 2016-08-19

Improved Transient Performance Analysis Algorithm of Multichannel S-ALOHA and Its Applications

Funds:

The National Natural Science Foundation of China (91438104, 61571069, 61501065), Fundamental Research Funds for the Central Universities (106112015CDJXY160002)

摘要

摘要: 海量機(jī)器類終端(或MTC終端)同步入網(wǎng)時(shí)，其業(yè)務(wù)呈現(xiàn)瞬時(shí)突發(fā)性，這使得基于齊次或復(fù)合泊松假設(shè)的多信道S-ALOHA穩(wěn)態(tài)性能分析辦法難以直接應(yīng)用。該文以第i個(gè)隨機(jī)接入時(shí)隙內(nèi)第j次進(jìn)行隨機(jī)接入的用戶數(shù)Mi(j)作為狀態(tài)變量，提出了一種沿Mi(j) 的j方向迭代進(jìn)行多信道S-ALOHA暫態(tài)性能分析的辦法及其近似形式。該迭代辦法可建立第i個(gè)隨機(jī)接入時(shí)隙內(nèi)第j次進(jìn)行隨機(jī)接入的用戶數(shù)與第x個(gè)隨機(jī)接入時(shí)隙內(nèi)新到用戶數(shù)的直接關(guān)系(其中xi)，也可給出接入時(shí)延概率密度函數(shù)、概率分布函數(shù)和均值的求解辦法。以3GPP MTC業(yè)務(wù)參考模型進(jìn)行數(shù)值仿真，驗(yàn)證了所提迭代辦法及其近似形式的有效性。相關(guān)研究可為承載網(wǎng)絡(luò)的優(yōu)化設(shè)計(jì)提供參考。
- 物聯(lián)網(wǎng) /
- 機(jī)器類通信 /
- 突發(fā)性業(yè)務(wù) /
- 多信道ALOHA /
- 暫態(tài)性能分析
Abstract: Concurrent data transmission from massive Machine Type Communications (MTC) devices makes the traffic pattern of MTC more bursty, which invalidates the commonly-used methodologies of traffic engineering for multichannel S-ALOHA under the assumption of homogeneous or compound Poisson process. By usage of the number of contending devices that transmit the j-th preamble at the i-th Random Access (RA) slot as state variable, an innovative iterative process with its simplified form is proposed to acquire the dynamic process of multichannel S-ALOHA. It reveals the direct relation between the number of contending devices that transmit the j-th preamble at the i-th RA slot and the newly arrived devices before i-th RA slot. It also presents an analytical way to compute the probability density function, cumulative density function and mean of access delay. Numerical results by the use of MTC traffic models proposed by 3GPP are conducted to validate the effectiveness of the proposed iterative process and its simplified form. These works provide engineers insights to design enhanced overload control mechanism for MTC applications.
- Internet of things /
- Machine type communication /
- Burstness traffic; Multichannel S-ALOHA /
- Transient performance analysis /

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