4.7 Article

Dynamic Path To Stability in LTE-Unlicensed With User Mobility: A Matching Framework

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 16, 期 7, 页码 4547-4561

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2017.2699966

关键词

LTE-Unlicensed; user mobility; stable marriage problem; random path to stability; matching theory

资金

  1. U.S. National Science Foundation [CNS-1702850, CNS-1646607, ECCS-1547201, CCF-1456921, CMMI-1434789, CNS-1443917, ECCS-1405121, CNS-1343361, CNS-1350230]
  2. Division Of Computer and Network Systems
  3. Direct For Computer & Info Scie & Enginr [1613661] Funding Source: National Science Foundation

向作者/读者索取更多资源

LTE-Unlicensed has recently captured intense attention from both academic and industrial fields. By integrating the unlicensed spectrum with the licensed spectrum, using carrier aggregation, LTE-Unlicensed users can experience enhanced transmission while maintaining the seamless mobility management and predictable performance. However, due to different transmission regulations, the coordination between LTE and Wi-Fi systems requires careful design. It is especially important to understand how to guarantee the transmission quality for LTE users and reduce Wi-Fi users' performance degradation, under the impact of the co-channel interference. In other words, how can we solve the unlicensed resource allocation problem under both LTE and Wi-Fi transmission requirements? In this paper, we propose a matching theory framework to tackle this problem. Specifically, the coexistence between LTE and Wi-Fi systems, i.e., the interaction between LTE and Wi-Fi users, is modeled as a stable marriage game. The coexistence constraints are interpreted as the preference lists. Two semi-distributed solutions, namely, the Gale-Shapley and the random path to stability algorithms are proposed. In addition, to address the external effect in matching, the inter-channel cooperation algorithm is introduced. Last but not least, the resource allocation problem is studied with network dynamics and the proposed mechanisms are evaluated under two typical user mobility models.

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