Open or close: On the sharing of femtocells

Yun, Se-Young; Ye, Yi; Cho, Dong-Ho; Mo, Jeonghoon

doi:10.1109/infcom.2011.5934894

Cited by 56 publications

(28 citation statements)

References 9 publications

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“…the sum utility over all users. This can be formulated as maximizing (6) subject to the same constraints for each SP i as in (5). Here, R i,M , R i,S and R U denote the average service rates per user in each respective service, which in turn depends on the prices and bandwidth allocations.…”

Section: User Optimizationmentioning

confidence: 99%

The impact of unlicensed access on small-cell resource allocation

Chen

Berry

Honig

et al. 2016

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications

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Abstract-Small cells deployed in licensed spectrum and unlicensed access via WiFi provide different ways of expanding wireless services to low mobility users. That reduces the demand for conventional macro-cellular networks, which are better suited for wide-area mobile coverage. The mix of these technologies seen in practice depends in part on the decisions made by wireless service providers that seek to maximize revenue, and allocations of licensed and unlicensed spectrum by regulators. To understand these interactions we present a model in which a service provider allocates available licensed spectrum across two separate bands, one for macro-and one for small-cells, in order to serve two types of users: mobile and fixed. We assume a service model in which the providers can charge a (different) price per unit rate for each type of service (macro-or small-cell); unlicensed access is free. With this setup we study how the addition of unlicensed spectrum affects prices and the optimal allocation of bandwidth across macro-/small-cells. We also characterize the optimal fraction of unlicensed spectrum when new bandwidth becomes available.

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Section: User Optimizationmentioning

confidence: 99%

The impact of unlicensed access on small-cell resource allocation

Chen

Berry

Honig

et al. 2016

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications

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“…Lin et al [17] compared three deployment types of femtocells, i.e., joint deployment, operator deployment, and user deployment frameworks. Yun et al [30] studied whether it is economically beneficial for the cellular operator or femtocell owners to provide femtocell service to guest users. Chen et al [31] further studied how to motivate femtocell owners to open their resource to guest macrocell users.…”

Section: Related Workmentioning

confidence: 99%

Economics of Femtocell Service Provision

Duan

Huang

Shou

2013

IEEE Trans. on Mobile Comput.

112

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Abstract-Femtocells can effectively resolve the poor connectivity issue of indoor cellular users. This paper investigates the economic incentive for a cellular operator to add femtocell service on top of its existing macrocell service. We model the interactions between a cellular operator and users as a Stackelberg game: the operator first determines spectrum allocations and pricings of femtocell and macrocell services, and then heterogeneous users choose between the two services and the amount of resource to request. In the ideal case where the femtocell service has the same full spatial coverage as the macrocell service, we show that the operator will choose to provide femtocell service only, as this leads to a better user Quality of Service and a higher operator profit. However, if we impose the constraint that no users' payoffs decrease after introducing the femtocell service, then the operator will always continue providing the macrocell service (with or without the femtocell service). Furthermore, we study the impact of operational cost, limited coverage, and spatial reuse on femtocell service provision. As the operational cost increases, fewer users are served by femtocell service and the operator's profit decreases. When the femtocell service has limited spatial coverage, the operator always provides the macrocell service beside the femtocell service. However, when the coverage is high or the total resource is low, the operator will set the prices such that all users who can access femtocell will choose to use the femtocell service only. Finally, spatial reuse of spectrum will increase the efficiency of femtocell services, and gives the operator more incentives to allocate spectrum to femtocells.

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“…Users are uniformly distributed in the coverage area of their serving cell. All femtocells are assumed to be closed access [17]. The OFDMA system has a bandwidth of B, which is divided into N subchannels.…”

Section: System Modelmentioning

confidence: 99%

Resource allocation with interference mitigation in OFDMA femtocells for co-channel deploymenta

Zhang

Chu

et al. 2012

J Wireless Com Network

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Femtocells have been considered as a promising technology to provide better indoor coverage and spatial reuse gains. However, the co-channel deployment of macrocells and femtocells is still facing challenges arising from potentially severe inter-cell interference. In this article, we investigate the uplink resource allocation problem of femtocells in co-channel deployment with macrocells. We first model the uplink power and subchannel allocation in femtocells as a non-cooperative game, where inter-cell interference is taken into account in maximizing the femtocell capacity and uplink femto-to-macro interference is alleviated by charging each femto user a price proportional to the interference that it causes to the macrocell. Based on the non-cooperative game, we then devise a semi-distributed algorithm for each femtocell to first assign subchannels to femto users and then allocate power to subchannels. Simulation results show that the proposed interference-aware femtocell uplink resource allocation algorithm is able to provide improved capacities for not only femtocells, but also the macrocell, as well as comparable or even better tiered fairness in the two-tier network, as compared with existing unpriced subchannel assignment algorithm and modified iterative water filling-based power allocation algorithm.

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Open or close: On the sharing of femtocells

Cited by 56 publications

References 9 publications

The impact of unlicensed access on small-cell resource allocation

The impact of unlicensed access on small-cell resource allocation

Economics of Femtocell Service Provision

Resource allocation with interference mitigation in OFDMA femtocells for co-channel deploymenta

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