JOURNAL ARTICLE

Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks

Jun DuErol GelenbeChunxiao JiangHaijun ZhangYong Ren

Year: 2017 Journal:   IEEE Journal on Selected Areas in Communications Vol: 35 (11)Pages: 2457-2467   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In heterogeneous ultra-dense networks (HetUDNs), the software-defined wireless network (SDWN) separates resource management from geo-distributed resources belonging to different service providers. A centralized SDWN controller can manage the entire network globally. In this work, we focus on mobile traffic offloading and resource allocation in SDWN-based HetUDNs, constituted of different macro base stations (MBSs) and small-cell base stations (SBSs). We explore a scenario where SBSs’ capacities are available, but their offloading performance is unknown to the SDWN controller: this is the information asymmetric case. To address this asymmetry, incentivized traffic offloading contracts are designed to encourage each SBS to select the contract that achieves its own maximum utility. The characteristics of large numbers of SBSs in HetUDNs are aggregated in an analytical model, allowing us to select the SBS types that provide the off-loading, based on different contracts which offer rationality and incentive compatibility to different SBS types. This leads to a closed-form expression for selecting the SBS types involved, and we prove the monotonicity and incentive compatibility of the resulting contracts. The effectiveness and efficiency of the proposed contract-based traffic offloading mechanism, and its overall system performance, are validated using simulations.

Keywords:
Computer science Cellular traffic Incentive compatibility Computer network Base station Contract theory Incentive Resource allocation Wireless network Cellular network Macro Heterogeneous network Distributed computing Resource management (computing) Wireless Telecommunications

Metrics

126
Cited By
7.93
FWCI (Field Weighted Citation Impact)
41
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Age of Information Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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