VANET/LTE-Advanced异构网络中基于协议序列-IEEE 802.11p的信道接入机制

doi:10.11959/j.issn.1000-0801.2015235

摘要/Abstract

摘要：

摘要：提出了VANET/LTE-Advanced异构网络架构，并重新规划信道使用及接入模式，提高车载设备之间通信的有效性，增强公平性并兼顾自由度。以车辆间通信为研究对象，深入剖析并比较IEEE 802.11p MAC协议，基于协议序列信道接入机制，提出基于协议序列-IEEE 802.11p的信道接入算法，将“基于调度”与“基于竞争”的信道接入结合，完善IEEE 802.11p MAC层协议。仿真结果表明，基于协议序列-IEEE 802.11p的信道接入机制与UI模式及IEEE 802.11p模式相比，实现了用户平均吞吐量和平均数据分组发送时延性能的权衡，具有理论价值和实用价值。

关键词: VANET, LTE-Advanced, 异构网络, 协议序列, 信道接入

Abstract:

Abstract: VANET／LTE-Advanced heterogeneous network was proposed by combining LTE-Advanced with VANET. The utilization of channel and channel access mode was reconfigured in order to improve the system performance. Aiming at the V2V communication, the performance of channel access mechanism based on IEEE 802.11p and protocol sequence were analyzed and compared with each other. And then, protocol sequence-IEEE 802.11p based channel access mechanism was proposed, which combines the scheduling-based and competition-based mechanism to completing the standard of IEEE 802.11p. Through simulation with MATLAB, it shows that protocol sequence-IEEE 802.11p based channel access mechanism can tradeoff the performance between UI-based and IEEE 802.11p-based ones in user average throughput and average packet delay, which has important theory meaning and practical value.

Key words: VANET, LTE-Advanced, heterogeneous network, protocol sequence, channel access

徐哲鑫,蔡苓玲,林潇,吴怡. VANET/LTE-Advanced异构网络中基于协议序列-IEEE 802.11p的信道接入机制[J]. 电信科学, 2015, 31(9): 66-72.

Zhexin Xu,Lingling Cai,Xiao Lin,Yi Wu. Protocol Sequence-IEEE 802.11p Based Channel Access Mechanism in VANET/LTE-Advanced Heterogeneous Network[J]. Telecommunications Science, 2015, 31(9): 66-72.

图/表 6

图1

图2

图3

表1

图4

图5

参考文献 19

1	Wang H , Liu R , Ni W , et al. VANET modeling and clustering design under practical traffic, channel and mobility conditions. IEEE Transactions on Communications, 2015,63（3）:870～881
2	Akhtar N , Ergen S C , Ozkasap O , et al. Vehicle mobility and communication channel models for realistic and efficient highway VANET simulation. IEEE Transactions on Vehicular Technology, 2015,64（1）:248～262
3	Bitam S , Mellouk A , Zeadally S , et al. VANET-cloud: a generic cloud computing model for vehicular ad hoc networks. IEEE Wireless Communications, 2015,22（1）:96～102
4	张齐新，杨涛，冯辉等．车联网中基于联盟合作博弈的带宽分享策略．电信科学， 2015,31（6）:54～60 Zhang Q X , Yang T , Feng H , et al. Coalition formation games for bandwidth sharing in VANET. Telecommunications Science, 2015,31（6）:54～60
5	Benslimane A , Taleb T , Sivaraj R . Dynamic clustering-based adaptive mobile gateway management in integrated VANET 3G heterogeneous wireless networks. IEEE Journal on Selected Areas in Communications, 2011,29（3）:559～570
6	Wu D , Zhou L , Cai Y , et al. The role of mobility for D2D communications in LTE-Advanced networks: energy vs bandwidth efficiency. IEEE Wireless Communications, 2014,21（2）:66～71
7	Pan M , Lin T , Chen W . An enhanced handover scheme for mobile relays in LTE-A high-speed rail networks. IEEE Transactions on Vehicular Technology, 2015,64（2）:743～756
8	Booysen M J , Zeadally S , Rooyen G J . Survey of media access control protocols for vehicular ad hoc networks. IET Communications, 2011,5（11）:1619～1631
9	Wong W S . Transmission sequence design and allocation for wide-area AD Hoc networks. IEEE Transactions on Vehicular Technology, 2014,63（2）:869～878
10	Wu Y , Shum K W , Su Q , et al. Safety messages broadcast in vehicular Ad Hoc. IEEE Transactions on Vehicular Technology, 2014,63（3）:1467～1479
11	IEEE Standards Association. IEEE 802.11p-2010: Wireless LAN Medium Access Control（MAC）and Physical Layer（PHY） Specifications Amendment 6: Wireless Access in Vehicular Environments, 2010
12	Bellalta B , Belyaev E , Jonsson M . Performance evaluation of IEEE 802.11p-enabled vehicular video surveillance system. IEEE Communications Letters, 2014,18（4）:708～711
13	Lyamin N , Vinel A , Jonsson M , et al. Real-time detection of denial-of-service attacks in IEEE 802.11p vehicular networks. IEEE Communications Letters, 2014,18（1）:110～113
14	Bilstrup K , Uhlemann E , Strom E G , et al. Evaluation of the IEEE 802.11p MAC method for vehicle-to-vehicle communication. Proceedings of IEEE Vehicular Technology Conference（VTC 2008-Fall）, Calgary, Canada, 2008
15	吴怡，沈颖棋，沈连丰等．基于协议序列的车辆自组织网络信道接入控制算法．电子学报， 2012,40（4）:826～831 Wu Y , Shum W K , Shen L F , et al. Protocol sequences based channel access control algorithm in vehicular ad hoc networks. Acta Electronica Sinica, 2012,40（4）:826～831
16	Bianchi G . Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communication, 2000,18（3）:535～547
17	高峰，高泽华，文柳等． IEEE 802. 11a DCF 协议吞吐量与时延性能分析．北京邮电大学学报， 2010,33（6）:43～47 Gao F , Gao Z H , Wen L , et al. Performance analysis of WLAN based on IEEE 802.11a. Journal of Beijing University of Posts and Telecommunications, 2010,33（6）:43～47
18	Chatzimisios P , Boucouvalas A C , Vitsas V . Packet delay analysis of IEEE 802.11 MAC protocol. Electronics Letters, 2003,39（18）:1358～1359
19	Chatzimisios P , Boucouvalas A C , Vitsas V . Performance analysis of the IEEE 802.11 MAC protocol for wireless LANs. International Journal of Communication Systems, 2005,18:545～569

参数	数值
信道比特率/（Mbit·s^-1）	3、4.5、6、9、12、18、24、27
传播时延/μs	1
时隙长度/μs	13
SIFS/μs	32
DIFS/μs	15
CW_min	7
重传次数限制/次	58
PHY头部/bit	192
MAC头部/bit	272
CTS大小/bit	112+PHY头部
RTS大小/bit	160+PHY头部
ACK大小/bit	112+PHY头部
数据分组大小/bit	0～4 095
CW_max	1 023

[1]	许鸣睿, 姚玉才, 朱晓荣. 基于Fisco-Bcos平台的区块链系统性能精确分析模型[J]. 电信科学, 2023, 39(1): 79-91.
[2]	丁雨, 李晨凯, 韩会梅, 卢为党, 任元红, 高原, 曹江. 基于5G无人机通信的多智能体异构网络选择方法[J]. 电信科学, 2022, 38(8): 28-36.
[3]	罗洪斌, 张珊, 王志远. 异构网络融合共生的需求、挑战与架构[J]. 电信科学, 2022, 38(6): 18-30.
[4]	宁岩, 张蕾, 陆肖元. 基于5G边缘云的港口统一通信方案研究与实践[J]. 电信科学, 2022, 38(11): 123-135.
[5]	罗志强,王伟,朱晓荣. 基于A3C的无线异构网络自适应视频流传输控制方法[J]. 电信科学, 2020, 36(12): 65-76.
[6]	朱龙昶,纪晓东,张欣然,李取鑫. 5G增强移动宽带关键技术性能研究[J]. 电信科学, 2020, 36(1): 41-48.
[7]	曹一侃,解志斌,王亚军,夏本琦. 密集异构网络中基于非邻区关系分簇的集中式基站休眠算法[J]. 电信科学, 2018, 34(5): 63-71.
[8]	孙毅,王鸿,宋荣方. 异构网络中两种边缘缓存策略的能耗分析[J]. 电信科学, 2018, 34(1): 17-26.
[9]	段红光,胡利,田枚. LTE-Advanced系统中的自适应调制技术[J]. 电信科学, 2017, 33(7): 88-93.
[10]	段红光,卢松品,王利飞,王胜,李同会,谭丹. LTE-Advanced时隙接入中动态帧长选择算法[J]. 电信科学, 2017, 33(3): 8-13.
[11]	季石宇,唐良瑞,李淑贤,杜施默. 基于用户体验质量和系统能耗的异构网络联合接入选择和功率分配策略[J]. 电信科学, 2017, 33(11): 47-55.
[12]	彭飞,章国安,杨羽琦. 认知车载网中基于簇和MAB模型的信道接入算法[J]. 电信科学, 2016, 32(7): 27-33.
[13]	李雷,张治中,席兵. LTE-Advanced网络Uu接口多协议关联方案的研究与实现[J]. 电信科学, 2016, 32(6): 167-176.
[14]	段红光,卢松品,王利飞,谭丹,高江奇. 机器类通信中基于负载反馈的拥塞控制方法[J]. 电信科学, 2016, 32(11): 26-31.
[15]	杨延平,陈巍,可珂,李鸥. 异构协同无线网络的多向中继技术：从理论到实践[J]. 电信科学, 2015, 31(9): 1-10.