Power control in two-tier femtocell networks

By Vikram Chandrasekhar, Jeffrey G. Andrews, Tarik Muharemovic, Zukang Shen, Alan Gatherer. IEEE Transactions on Wireless Communications, 2008

775 citations recorded by the source corpus.

In a two tier cellular network - comprised of a central macrocell underlaid with shorter range femtocell hotspots - cross-tier interference limits overall capacity with universal frequency reuse. To quantify near-far effects with universal frequency reuse, this paper derives a fundamental relation providing the largest feasible cellular Signal-to-Interference-Plus-Noise Ratio (SINR), given any set of feasible femtocell SINRs. We provide a link budget analysis which enables simple and accurate performance insights in a two-tier network. A distributed utility- based SINR adaptation at femtocells is proposed in order to alleviate cross-tier interference at the macrocell from cochannel femtocells. The Foschini-Miljanic (FM) algorithm is a special case of the adaptation. Each femtocell maximizes their individual utility consisting of a SINR based reward less an incurred cost (interference to the macrocell). Numerical results show greater than 30% improvement in mean femtocell SINRs relative to FM. In the event that cross-tier interference prevents a cellular user from obtaining its SINR target, an algorithm is proposed that reduces transmission powers of the strongest femtocell interferers. The algorithm ensures that a cellular user achieves its SINR target even with 100 femtocells/cell-site (with typical cellular parameters) and requires a worst case SINR reduction of only 16% at femtocells. These results motivate design of power control schemes requiring minimal network overhead in two-tier networks with shared spectrum.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fdd2cf82058671dc7e1e353c3fe4efe7de3ed849

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Citations in the corpus

Power Control for D2D Underlaid Cellular Networks: Modeling, Algorithms, and Analysis (2013, background): “In prior work [1], [2], [5], [7]–[17], D2D power control strategies are developed and evaluated in a deterministic D2D link deployment scenario.”
Spectrum allocation in tiered cellular networks (2009, methodology): “To minimize cross-tier interference, prior femtocell research has proposed hybrid frequency assignments[7], adjusting the transmit powers of femtocell users [5], [8] and adaptive access operation of femtocells [9].”
Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells (2012, methodology): “To simplify the analysis of the problem, without loss generality, we assume that there is only one FSU that is serviced by the FBS in each time slot, which is commonly assumed in the literature due to the opportunistic scheduling operation in practice [19].”
Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach (2012, background): “A great deal of scholarly work [2]–[4] has recently appeared in the literature on the design of power control and interference mitigation strategies for spectrum-sharing femtocell networks.”
Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services (2014, methodology): “In [6], non-cooperative power allocation with signal-to-interference-plus-noise ratio (SINR) adaptation is used to alleviate the interference from femtocells to macrocells, while in [7] Stackelberg game based power control is formulated to maximize femtocells’ capacity under a cross-tier interferenc”
Energy Efficient Heterogeneous Cellular Networks (2013, background): “For the case of dense deployment of MBSs, we know that these two effects cancel out equally and the coverage probability is independent of the sleeping mode [16].”
Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks (2010, methodology): “Power control algorithms for joint femto and macro deployments were also studied in [12].”
Femtocells: Past, Present, and Future (2012, background): “the dominant method for interference coordination has been power control strategies [77]–[79] and/or reserving a “femtofree” band where macrocell users can go to escape cross-tier interference when it arises.”
Interference Management in Femtocells (2013, methodology): “SIC [86][87] [88] PIC [89][90][91] MSIC [93] MUD [95] [96] Spectrum Splitting [31][47][49] [97] Power Control [103][109] [111] [112] Time Hopping [99][100] Spectrum Arrangement schemes [104][105] Other Schemes [83][98] [101][107] Distributed Interference Management”
Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach (2015, methodology): “Game theory based resource allocation and interference mitigation in small cells have been widely investigated in existing works [4]–[11].”
Throughput Optimization, Spectrum Allocation, and Access Control in Two-Tier Femtocell Networks (2012, background): “These difficulties sparked off a significant amount of research on a variety of interference management schemes for two-tier femtocell networks, such as power control [4]–[6], multiple antennas [7]–[9], adaptive FAP access scheme [10]–[12], cognitive radio [13], [14], and spectrum allocation [15]–[1”