Preserving Reliability to Heterogeneous Ultra-Dense Distributed Networks in Unlicensed Spectrum
Qimei Cui, Yu Gu, Wei Ni, Xuefei Zhang, Xiaofeng Tao, Ping Zhang, and, Ren Ping Liu

TL;DR
This paper introduces a new measure called effective capacity to balance capacity and reliability in heterogeneous ultra-dense networks, especially in 5G unlicensed spectrum, with promising applications in resource management.
Contribution
It develops the theory of effective capacity for heterogeneous ultra-dense networks and demonstrates its application to improve QoS and resource allocation.
Findings
Effective capacity quantifies sustainable data rates with QoS guarantees.
Significant gains over existing methods in admission, power, and resource control.
Applicable to 5G networks in unlicensed spectrum.
Abstract
This article investigates the prominent dilemma between capacity and reliability in heterogeneous ultra-dense distributed networks, and advocates a new measure of effective capacity to quantify the maximum sustainable data rate of a link while preserving the quality-of-service (QoS) of the link in such networks. Recent breakthroughs are brought forth in developing the theory of the effective capacity in heterogeneous ultra-dense distributed networks. Potential applications of the effective capacity are demonstrated on the admission control, power control and resource allocation of such networks, with substantial gains revealed over existing technologies. This new measure is of particular interest to ultra-dense deployment of the emerging fifth-generation (5G) wireless networks in the unlicensed spectrum, leveraging the capacity gain brought by the use of the unlicensed band and the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
