Resource Allocation and Inter-Cell Interference Management for Dual-Access Small Cells

In this paper, we present a method for resource allocation for small cells that integrate licensed and unlicensed RF operations motivated by the widespread WiFi hotspots and the common inclusion of WiFi interface in most cellular terminals. Small cells have proven popular for cell coverage enhanceme...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2015-06, Vol.33 (6), p.1082-1096
Main Authors: Elsherif, Ahmed R., Wei-Peng Chen, Ito, Akira, Zhi Ding
Format: Article
Language:English
Subjects:
Bands
Cellular
Competition
Formulations
Heterogeneous Networks
IEEE 802.11 Standards
Integrated LTE-WiFi Networks
Interference
Interference Management
Licenses
Linear programming
Optimization
Quality of service
Resource Allocation
Resource management
Small Cells
Switches
Throughput
Traffic engineering
Traffic flow
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Summary:In this paper, we present a method for resource allocation for small cells that integrate licensed and unlicensed RF operations motivated by the widespread WiFi hotspots and the common inclusion of WiFi interface in most cellular terminals. Small cells have proven popular for cell coverage enhancement and traffic offloading from macrocells. We formulate an optimization problem that jointly allocates resources over both licensed and unlicensed bands with the goal of maximizing sum small cell user equipment (SUE) rate while achieving fairness among these user equipments and controlling inter-cell interference to neighboring macrocell users. The proposed solution further considers the quality of service (QoS) requirement of SUE traffics to be distributed over both licensed and unlicensed bands. We show the formulation of the proposed optimization problem as an efficient and low complexity linear programming. We further show that our problem formulation can be modified to maximize the revenue of mobile network operators. Our proposed solution achieves better performance than several existing solutions.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2015.2416990