A Markov-Based Modelling with Dynamic Contention Window Adaptation for LAA and WiFi Coexistence
A Markov-Based Modelling with Dynamic Contention Window Adaptation for LAA and WiFi Coexistence
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DOI：
10.1109/vtcspring.2017.8108662
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
Xiaojing Yan;Hui Tian;Cheng Qin
中科院分区：
文献类型：
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作者：
Xiaojing Yan;Hui Tian;Cheng Qin
LAA （licensing - assisted Access）是指在LTE （Long Term Evolution）技术中使用未经授权的频谱。在本文中，我们提出了一个基于markov的分析框架，使用先听后讲（LBT）机制和动态竞争窗口自适应来研究LAA-LAA和LAA-WiFi共存场景的性能。具体来说，我们引入了最大竞争窗口计时器机制（MCWTM）来减少资源浪费并提高LAA共存性能。进一步推导了两种共存情况下的成功传输概率和系统退避时间。数值结果表明，与静态竞争窗口机制相比，本文提出的基于MCWTM的动态竞争窗口自适应机制在LAA-LAA共存场景下是有效的，并且可以提高LAA- wifi共存场景下的LAA性能。
Licensed-Assisted Access (LAA) allows the operations on unlicensed spectrum for Long Term Evolution (LTE). In this paper, we propose a Markov-based analytical framework using the listen-before-talk (LBT) mechanism with dynamic contention window adaptation to investigate the performance of LAA-LAA and LAA-WiFi coexistence scenarios. Specifically, we introduce a Maximum Contention Window Timer Mechanism (MCWTM) to reduce the waste of resources and improve LAA coexistence performance. Furthermore, we derive the successful transmission probability and system backoff time under the two coexistence cases. Numerical results validate that the proposed dynamic contention window adaptation with MCWTM is effective in LAA-LAA coexistence scenario and can also improve LAA performance in LAA-WiFi coexistence scenario, compared with the static contention window mechanism.