Load Balancing in Two-Tier Cellular Networks with Open and Hybrid Access Femtocells
Dongmyoung Kim, Taejun Park, Hyoil Kim, and Sunghyun Choi

TL;DR
This paper proposes optimization schemes for open and hybrid access femtocells in two-tier cellular networks, improving macrocell performance and balancing benefits for femtocell owners through convex optimization of resource allocation.
Contribution
It introduces long-term parameter optimization algorithms for open and hybrid access femtocells, demonstrating significant performance improvements and providing insights on deployment strategies.
Findings
Optimized resource allocation enhances macrocell user throughput.
Convex optimization problem formulation for parameter selection.
Hybrid access schemes balance user benefits effectively.
Abstract
Femtocell base station (BS) is a low-power, low-price BS based on cellular communication technology. It is expected to become a cost-effective solution for improving the communication performance of indoor users, whose traffic demands are large in general. There are mainly three access strategies for femtocell, i.e., closed access, open access and hybrid access strategies. While it has been generally known that open/hybrid access femtocells contribute more to enhancing the system-wide performance than closed access femtocells, the operating parameters of both macro and femtocells should be carefully chosen according to the mobile operator's policy, consumer's requirements, and so on. We propose long-term parameter optimization schemes, which maximize the average throughput of macrocell users while guaranteeing some degree of benefits to femtocell owners. To achieve this goal, we jointly…
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