Uplink capacity and interference avoidance for two-tier femtocell networks
IEEE Transactions on Wireless Communications
Power control in two-tier femtocell networks
IEEE Transactions on Wireless Communications
DANCE: a game-theoretical femtocell channel exchange mechanism
ACM SIGMOBILE Mobile Computing and Communications Review
Femtocells: Technologies and Deployment
Femtocells: Technologies and Deployment
Femtocell Frequency Planning Scheme in Cellular Networks Based on Soft Frequency Reuse
CYBERC '10 Proceedings of the 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
Dynamic resource partitioning for downlink femto-to-macro-cell interference avoidance
EURASIP Journal on Wireless Communications and Networking - Special issue on femtocell networks
EURASIP Journal on Wireless Communications and Networking - Special issue on femtocell networks
Fractional Frequency Reuse to Mitigate Interference in Self-Configuring LTE-Femtocells Network
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
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In this paper, we address the problem of optimizing resources for downlink transmission in a macro---femtocell network under non-dense femtocell deployment. In the literature, some approaches perform bandwidth or power optimization depending on the air interface technology and others optimize both types of resources, but only in femtocell network. However, the following limitations can be noticed: (1) Equal distribution of transmitted power among all subcarriers, even if they are not used, leads to resource underutilization, (2) femtocell data rates are reduced in order to minimize the interference from femto base stations to macro users, and (3) the impact of noise has not been evaluated. Moreover, there is lack of optimal selection of users that can be served by femtocells. To overcome these limitations, we propose a model that finds a tradeoff between bandwidth and power to reduce the bandwidth usage per user and to minimize the impact of noise. By means of Linear Programming, our solution maximizes user satisfaction and provides optimal: serving base station, power and bandwidth for each mobile user taking into account its location and demand. Furthermore, we present a performance analysis under changes of signal to noise ratio. Simulations were conducted and a comparison with a modified version of Weighted Water Filling algorithm is presented.