TY - JOUR
T1 - Caching Meets Millimeter Wave Communications for Enhanced Mobility Management in 5G Networks
AU - Semiari, Omid
AU - Saad, Walid
AU - Bennis, Mehdi
AU - Maham, Behrouz
N1 - Funding Information:
Manuscript received March 10, 2017; revised August 27, 2017; accepted October 20, 2017. Date of publication November 14, 2017; date of current version February 9, 2018. This work was supported by the U.S. National Science Foundation under Grant CNS-1460316, Grant CNS-1513697, and Grant IIS-1633363. The associate editor coordinating the review of this paper and approving it for publication was T. Melodia. (Corresponding author: Omid Semiari.) O. Semiari is with the Department of Electrical Engineering, Georgia Southern University, Statesboro, GA 30458 USA (e-mail: osemiari@ georgiasouthern.edu).
PY - 2018/2
Y1 - 2018/2
N2 - One of the most promising approaches to overcoming the uncertainty of millimeter wave (mm-wave) communications is to deploy dual-mode small base stations (SBSs) that integrate both mm-wave and microwave (μ W) frequencies. In this paper, a novel approach to analyzing and managing mobility in joint mmwave- μ W networks is proposed. The proposed approach leverages device-level caching along with the capabilities of dual-mode SBSs to minimize handover failures and reduce inter-frequency measurement energy consumption. First, fundamental results on the caching capabilities are derived for the proposed dual-mode network scenario. Second, the impact of caching on the number of handovers (HOs), energy consumption, and the average handover failure (HOF) is analyzed. Then, the proposed cache-enabled mobility management problem is formulated as a dynamic matching game between mobile user equipments (MUEs) and SBSs. The goal of this game is to find a distributed HO mechanism that, under network constraints on HOFs and limited cache sizes, allows each MUE to choose between: 1) executing an HO to a target SBS; 2) being connected to the macrocell base station; or 3) perform a transparent HO by using the cached content. To solve this dynamic matching problem, a novel algorithm is proposed and its convergence to a two-sided dynamically stable HO policy for MUEs and target SBSs is proved. Numerical results corroborate the analytical derivations and show that the proposed solution will significantly reduce both the HOF and energy consumption of MUEs, resulting in an enhanced mobility management for heterogeneous wireless networks with mm-wave capabilities.
AB - One of the most promising approaches to overcoming the uncertainty of millimeter wave (mm-wave) communications is to deploy dual-mode small base stations (SBSs) that integrate both mm-wave and microwave (μ W) frequencies. In this paper, a novel approach to analyzing and managing mobility in joint mmwave- μ W networks is proposed. The proposed approach leverages device-level caching along with the capabilities of dual-mode SBSs to minimize handover failures and reduce inter-frequency measurement energy consumption. First, fundamental results on the caching capabilities are derived for the proposed dual-mode network scenario. Second, the impact of caching on the number of handovers (HOs), energy consumption, and the average handover failure (HOF) is analyzed. Then, the proposed cache-enabled mobility management problem is formulated as a dynamic matching game between mobile user equipments (MUEs) and SBSs. The goal of this game is to find a distributed HO mechanism that, under network constraints on HOFs and limited cache sizes, allows each MUE to choose between: 1) executing an HO to a target SBS; 2) being connected to the macrocell base station; or 3) perform a transparent HO by using the cached content. To solve this dynamic matching problem, a novel algorithm is proposed and its convergence to a two-sided dynamically stable HO policy for MUEs and target SBSs is proved. Numerical results corroborate the analytical derivations and show that the proposed solution will significantly reduce both the HOF and energy consumption of MUEs, resulting in an enhanced mobility management for heterogeneous wireless networks with mm-wave capabilities.
KW - Millimeter wave communications
KW - game theory
KW - resource allocation
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U2 - 10.1109/TWC.2017.2771419
DO - 10.1109/TWC.2017.2771419
M3 - Article
AN - SCOPUS:85035089113
VL - 17
SP - 779
EP - 793
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 2
M1 - 8107708
ER -