異構(gòu)無(wú)線網(wǎng)絡(luò)多鏈路接入動(dòng)態(tài)資源分配算法

俞鶴偉; 梁根; 秦勇

doi:10.11999/JEIT160583

異構(gòu)無(wú)線網(wǎng)絡(luò)多鏈路接入動(dòng)態(tài)資源分配算法

doi: 10.11999/JEIT160583 cstr: 32379.14.JEIT160583

1.
(華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院廣州 510641) ②(廣東石油化工學(xué)院理學(xué)院茂名 525000) ③(東莞理工學(xué)院計(jì)算機(jī)學(xué)院東莞 523808)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61070179, 61003066)，廣東省自然科學(xué)基金(10151601501000015)

計(jì)量
- 文章訪問(wèn)數(shù): 1412
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出版歷程
- 收稿日期: 2016-06-03
- 修回日期: 2016-12-12
- 刊出日期: 2017-04-19

Multiple Link Access and Dynamic Resource Allocation Algorithm in Heterogeneous Wireless Networks

1.
(School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China)

Funds:

The National Natural Science Foundation of China (61070179, 61003066), The Natural Science Foundation of Guangdong Province (10151601501000015)

摘要

摘要: 異構(gòu)無(wú)線網(wǎng)絡(luò)(Heterogeneous Wireless Networks, HWNs)環(huán)境下現(xiàn)有接入控制算法的主要問(wèn)題是通過(guò)單一的傳輸鏈路建立移動(dòng)用戶和無(wú)線網(wǎng)絡(luò)之間的連接，并且接入過(guò)程中的資源分配沒(méi)有對(duì)全網(wǎng)的傳輸性能進(jìn)行優(yōu)化。為了解決上述問(wèn)題，該文分析了HWNs中的資源分配模型和鏈路接入速率模型，提出一種支持多鏈路接入的動(dòng)態(tài)資源分配算法MLA-DRA。算法以最大化系統(tǒng)傳輸速率為目標(biāo)，將用戶接入過(guò)程轉(zhuǎn)化為前后相互聯(lián)系的多階段決策過(guò)程，利用前一階段用戶的資源分配狀態(tài)計(jì)算下一階段用戶的最優(yōu)解，從而推導(dǎo)出系統(tǒng)傳輸速率的最優(yōu)值。在仿真平臺(tái)上對(duì)MLA-DRA算法進(jìn)行了性能分析，并且和其它算法進(jìn)行了性能比較，實(shí)驗(yàn)結(jié)果表明，MLA-DRA算法能有效利用系統(tǒng)資源以及提高系統(tǒng)傳輸速率。
- 異構(gòu)無(wú)線網(wǎng)絡(luò) /
- 動(dòng)態(tài)分配 /
- 剩余帶寬 /
- 最大速率
Abstract: The main problems in the existing access control algorithm under the environment of Heterogeneous Wireless Networks (HWNs) is to set up the connection between mobile users and wireless network through a single transmission link and the resources allocation lacks for optimizing transmission of the whole network in the access process. In order to solve the above problems, the resource allocation model and access link rate model in HWNs are analyzed, and a Multiple Link Access and Dynamic Resource Allocation (MLA-DRA) algorithm that supports multi-link access is proposed in this paper. The algorithm takes the maximum of the system transmission rate as object function, transfers the user access process into the multi-stage decision process that is mutually connected, and employs the previous resource allocation state to calculate the optimal solution of next user, thus deduces the optimal value of system transmission rate. In the simulation platform, the performance of MLA-DRA algorithm is analyzed, and is compared with other algorithms. Experimental results show that MLA-DRA algorithm can effectively utilize the system resources and improve the system transmission rate.
- Heterogeneous Wireless Networks (HWNs) /
- Dynamic allocation /
- Residual bandwidth /
- Maximum rate

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參考文獻(xiàn)(14)

FERRUS R, SALLENT O, and AGUSTI R. Interworking in heterogeneous wireless networks: Comprehensive framework and future trends[J]. IEEE Wireless Communications, 2010, 17(2): 22-31. doi: 10.1109/MWC.2010.5450657.

JO M, MAKSYMYUK T, BATISTA R L, et al. A survey of converging solutions for heterogeneous mobile networks[J]. IEEE Wireless Communications, 2014, 21(6): 54-62. doi: 10.1109/MWC.2014.7000972.

MEHBODNIYA A, AISSA S, and ADACHI F. Efficient resource utilization for heterogeneous wireless personal area networks[J]. IEICE Transactions on Communications, 2013, 96(6): 1577-1587. doi: 10.1587/transcom.E96.B.1577.

ZHOU Tianqing, HUANG Yongming, and YANG Luxi. Joint user association and resource partitioning with QoS support for heterogeneous cellular networks[J]. Wireless Personal Communications, 2015, 83(1): 383-397. doi: 10.1007/s11277- 015-2398-y.

WANG Lusheng and KUO G G S. Mathematical modeling for network selection in heterogeneous wireless networks A tutorial[J]. IEEE Communications Surveys and Tutorials, 2013, 15(1): 271-292. doi: 10.1109/SURV.2012.010912.00044.

AHMED A, BOULAHIA L M, and GAITI D. Enabling vertical handover decisions in heterogeneous wireless networks: A state-of-the-art and a classification[J]. IEEE Communications Surveys and Tutorials, 2014, 16(2): 776-811. doi: 10.1109/SURV.2013.082713.00141.

ROY S D and REDDY S R V. Signal strength ratio based vertical handoff decision algorithms in integrated heterogeneous networks[J]. Wireless Personal Communications, 2014, 77(4): 2565-2585. doi: 10.1007/ s11277-014-1655-9.

MA Dong and MA Maode. Proactive load balancing with admission control for heterogeneous overlay networks[J]. Wireless Communications Mobile Computing, 2013, 13(18): 1671-1680. doi: 10.1002/wcm.1224.

JIANG Jian, LI Jiandong, HOU Ronghui, et al. Network selection policy based on effective capacity in heterogeneous wireless communication systems[J]. Science China- Information Sciences, 2014, 57(2): 1-7. doi: 10.1007/s11432- 013-4899-1.

WU J and HUEY R. Improved joint radio resource management usage grey fuzzy control in heterogeneous wireless networks[J]. Journal of Internet Technology, 2015, 16(5): 777-788. doi: 10.6138/JIT.2015.16.5.20130319.

NIYATO D and HOSSAIN E. A noncooperative game- theoretic framework for radio resource management in 4 G heterogeneous wireless access networks[J]. IEEE Transactions on Mobile Computing, 2008, 7(3): 332-345. doi: 10.1109/TMC.2007.70727.

李明欣, 陳山枝, 謝東亮, 等. 異構(gòu)無(wú)線網(wǎng)絡(luò)中基于非合作博弈論的資源分配和接入控制[J]. 軟件學(xué)報(bào), 2010, 21(8): 2037-2049. doi: 10.3724/SP.J.1001.2010.03638.

LI Mingxin, CHEN Shanzhi, XIE Dongliang, et al. Resource allocation and admission control based on non-cooperation game in heterogeneous wireless networks[J]. Journal of Software, 2010, 21(8): 2037-2049. doi: 10.3724/SP.J.1001. 2010.03638.

CHOI Y, KIM H, HAN S, et al. Joint resource allocation for parallel multi-radio access in heterogeneous wireless networks [J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3324-3329. doi: 10.1109/TWC.2010.11.100045.

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