超密集異構(gòu)無線網(wǎng)絡(luò)中基于位置預(yù)測的切換算法

馬彬; 王夢雪; 謝顯中

doi:10.11999/JEIT190751

超密集異構(gòu)無線網(wǎng)絡(luò)中基于位置預(yù)測的切換算法

doi: 10.11999/JEIT190751

1.
重慶郵電大學(xué)計算機科學(xué)與技術(shù)學(xué)院重慶 400065
2.
重慶郵電大學(xué)重慶市計算機網(wǎng)絡(luò)與通信技術(shù)重點實驗室重慶 400065

基金項目: 國家自然科學(xué)基金 (61601070)，重慶市教委科學(xué)技術(shù)研究重大項目(KJZD-M201900602)，重慶市教委科學(xué)技術(shù)研究重點項目(KJZD-K201800603)，重慶市基礎(chǔ)研究與前沿探索項目(CSTC2018jcyjAX0432)

詳細信息

作者簡介:
馬彬：男，1978年生，教授，主要研究方向為異構(gòu)無線網(wǎng)絡(luò)、認知無線電網(wǎng)絡(luò)等

王夢雪：女，1995年生，碩士生，研究方向為異構(gòu)無線網(wǎng)絡(luò)

謝顯中：男，1966年生，教授，博士生導(dǎo)師，主要研究方向為無線和移動通信技術(shù)

通訊作者:
馬彬　 mab_cqupt@sina.com

中圖分類號: TN915
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- 文章訪問數(shù): 1614
- HTML全文瀏覽量: 507
- PDF下載量: 97
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2019-09-29
- 修回日期: 2020-05-29
- 網(wǎng)絡(luò)出版日期: 2020-07-12
- 刊出日期: 2020-12-08

Handoff Algorithm Based on Location Prediction in Ultra-dense Heterogeneous Wireless Network

1.
Institute of Computer Science and Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Computer Network and Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61601070), The Major Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201900602)，The Key Project of Science and Technology Research of Chongqing Education Commission (KJZD-K201800603), The Foundation Research and Advanced Exploration Project of Chongqing (CSTC2018jcyjAX0432)

摘要

摘要:
在密集異構(gòu)蜂窩網(wǎng)絡(luò)和無線局域網(wǎng)絡(luò)構(gòu)成的超密集異構(gòu)無線網(wǎng)絡(luò)中, 變速移動的車輛終端會面臨更加頻繁的切換，導(dǎo)致用戶服務(wù)質(zhì)量(QoS)變差。該文針對上述問題，首先，利用高斯馬爾可夫移動模型，預(yù)測車輛下一時刻的位置，篩選出滿足終端服務(wù)質(zhì)量的候選網(wǎng)絡(luò)集，與當(dāng)前的候選網(wǎng)絡(luò)集做交運算，其次，當(dāng)前接入網(wǎng)絡(luò)不在交集中，則使用變步長的螢火蟲算法尋找最佳網(wǎng)絡(luò)；再次，對因預(yù)測誤差導(dǎo)致的切換失效，則把終端用戶遷移到宏蜂窩，以保證通信的持續(xù)性。仿真結(jié)果表明，在超密集異構(gòu)無線網(wǎng)絡(luò)中，使用該文所提算法能夠減少乒乓切換等頻繁切換現(xiàn)象，同時，提升了用戶的服務(wù)質(zhì)量和網(wǎng)絡(luò)吞吐量。
- 超密集異構(gòu)網(wǎng)絡(luò) /
- 切換 /
- 服務(wù)質(zhì)量 /
- 位置預(yù)測
Abstract:
In the ultra-dense heterogeneous wireless network composed of heterogeneous cellular networks and wireless local area networks, vehicle terminals with variable speeds will face more frequent handovers, resulting in the deterioration of user’s Quality of Service (QoS). For the above problems, firstly, the Gauss Markov mobility model is used to predict the position of the vehicle terminal at the next moment, and the candidate network set that meets the terminal service quality is selected to make the intersection with the current candidate network set. Secondly, if the current access network is not in the intersection, the variable-step firefly algorithm is used to find the best network. Thirdly, the terminal that fails to switch due to the prediction error is migrated to the macro cellular to ensure the continuity of communication. Simulation results show that the proposed algorithm can reduce the frequent handoff phenomenon, such as ping pong handoff in the ultra-dense heterogeneous wireless network. Meanwhile, it can improve the user service quality and network throughput.
- Ultra-heterogeneous network /
- Handoff /
- Quality of Service (QoS) /
- Location prediction

HTML全文

圖 1 超密集異構(gòu)無線場景示意圖

下載: 全尺寸圖片幻燈片

圖 2 輸入隸屬度函數(shù)表示圖

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圖 3 夾角示意圖

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圖 4 終端的移動速度及其位移

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圖 5 誤差對比

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圖 6 預(yù)測位置獲得參數(shù)值的數(shù)量關(guān)系

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圖 7 動態(tài)采樣模擬獲得QoS閾值

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圖 8 算法的收斂對比

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圖 9 不同切換算法切換對比

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圖 11 切換算法平均吞吐量的對比

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表 1 仿真參數(shù)的設(shè)置

網(wǎng)絡(luò)	覆蓋半徑(km)	發(fā)送功率(dBm)	路徑損耗因(dBm)	最大終端接入(個)
5G1	1.00	46	25	15
5G2	1.30	46	25	15
WLAN	0.50	35	35	12
micro	0.35	30	32	10

下載: 導(dǎo)出CSV

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