HetNets中的负载均衡概述：古老的神话和悬而未决的问题
An Overview of Load Balancing in HetNets: Old Myths and Open Problems
摘要：
将资源的需求（“负载”）与资源的供应（“容量”）相匹配是工程、物流和经济学的许多领域中出现的基本问题，并且在因特网和无线网络中已经被广泛考虑。蜂窝通信网络向密集、有机和不规则异构网络（“HetNet”）的持续演进已经将负载感知提升为中心问题，并且引入了许多新的微妙之处。本文解释了如何在负载平衡的HetNet的背景下重新思考关于蜂窝网络的几个长期假设：我们强调这些作为三个根深蒂固的神话，然后我们消除。我们调查并比较了HetNet负载均衡的主要技术方法：（集中式）优化，博弈论，马尔可夫决策过程，以及新流行的小区范围扩展（a.k.a.“偏置”），并得出基于OFDMA的蜂窝系统的设计教训。我们还确定了几个开放的领域，为未来的探索。
英文摘要：
Matching the demand for resources ("load") with the supply of resources ("capacity") is a basic problem occurring across many fields of engineering, logistics, and economics, and has been considered extensively both in the Internet and in wireless networks. The ongoing evolution of cellular communication networks into dense, organic, and irregular heterogeneous networks ("HetNets") has elevated load-awareness to a central problem, and introduces many new subtleties. This paper explains how several long-standing assumptions about cellular networks need to be rethought in the context of a load-balanced HetNet: we highlight these as three deeply entrenched myths that we then dispel. We survey and compare the primary technical approaches to HetNet load balancing: (centralized) optimization, game theory, Markov decision processes, and the newly popular cell range expansion (a.k.a. "biasing"), and draw design lessons for OFDMA-based cellular systems. We also identify several open areas for future exploration.
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。
