上下文感知无线小小区网络：如何利用用户信息进行资源分配
Context-Aware Wireless Small Cell Networks: How to Exploit User Information for Resource Allocation
摘要：
提出了一种新的上下文感知的双层无线小小区网络资源分配方法。特别地，SCN的用户被分为两种类型：频繁用户，其是某些小型小区的常规用户;以及偶尔用户，其是特定小型小区的一次性或不频繁用户。给定这样的\emph{context}信息，每个小小区基站（SCBS）旨在最大化提供给其频繁用户的总体性能，同时确保偶尔的用户也得到良好的服务。我们制定的问题作为一个非合作博弈中的SCBS的球员。每个SCBS的策略是选择适当的功率分配，以便优化效用函数，该效用函数捕获用户的服务质量增益和资源支出方面的成本之间的权衡。我们提供了一个充分条件的存在性和唯一性的纯策略纳什均衡的游戏，我们表明，这个条件是独立的用户在网络中的数量。仿真结果表明，所提出的上下文感知的资源分配游戏产生显着的性能增益，在每个SCBS的平均效用，相比传统的技术，如比例公平分配和总和速率最大化。
英文摘要：
In this paper, a novel context-aware approach for resource allocation in two-tier wireless small cell networks~(SCNs) is proposed. In particular, the SCN's users are divided into two types: frequent users, who are regular users of certain small cells, and occasional users, who are one-time or infrequent users of a particular small cell. Given such \emph{context} information, each small cell base station (SCBS) aims to maximize the overall performance provided to its frequent users, while ensuring that occasional users are also well serviced. We formulate the problem as a noncooperative game in which the SCBSs are the players. The strategy of each SCBS is to choose a proper power allocation so as to optimize a utility function that captures the tradeoff between the users' quality-of-service gains and the costs in terms of resource expenditures. We provide a sufficient condition for the existence and uniqueness of a pure strategy Nash equilibrium for the game, and we show that this condition is independent of the number of users in the network. Simulation results show that the proposed context-aware resource allocation game yields significant performance gains, in terms of the average utility per SCBS, compared to conventional techniques such as proportional fair allocation and sum-rate maximization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
