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

• 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
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2015.2416990

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.