Low-Complexity SINR Feasibility Checking and Joint Power and Admission Control in Prioritized Multitier Cellular Networks

@article{Monemi2016LowComplexitySF,
  title={Low-Complexity SINR Feasibility Checking and Joint Power and Admission Control in Prioritized Multitier Cellular Networks},
  author={Mehdi Monemi and Mehdi Rasti and Ekram Hossain},
  journal={IEEE Transactions on Wireless Communications},
  year={2016},
  volume={15},
  pages={2421-2434}
}
Next generation cellular networks will consist of multiple tiers of cells and users associated with different network tiers may have different priorities (e.g., macrocell-picocell- femtocell networks with macro tier prioritized over pico tier, which is again prioritized over femto tier). Designing efficient joint power and admission control (JPAC) algorithms for such networks under a cochannel deployment (i.e., underlay) scenario is of significant importance. Feasibility checking of a given… Expand
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References

SHOWING 1-10 OF 36 REFERENCES
On Joint Power and Admission Control in Underlay Cellular Cognitive Radio Networks
TLDR
Two centralized algorithms for joint power and admission control in a cellular cognitive radio network which coexists with a primary radio network (PRN) in a spectrum underlay fashion outperform other existing algorithms in terms of complexity and secondary users' outage ratio. Expand
Distributed Interference Management in Two-Tier CDMA Femtocell Networks
TLDR
It is shown that the proposed algorithms robustly support all the prioritized MUEs with guaranteed QoS requirements whenever feasible, while allowing the FUEs to optimally exploit the remaining network capacity. Expand
Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective
TLDR
It is argued that the existing interference management schemes will not be able to address the interference management problem in prioritized 5G multi-tier networks where users in different tiers have different priorities for channel access. Expand
Distributed Pareto-Optimal Power Control for Utility Maximization in Femtocell Networks
TLDR
Two Pareto-optimal power control algorithms for a two-tier network, where newly-deployed femtocell user equipments (FUEs) operate in the licensed spectrum owned by an existing macrocell are proposed. Expand
Distributed Uplink Power Control for Multi-Cell Cognitive Radio Networks
TLDR
The proposed algorithm not only improves the number of supported SUs but also guarantees that all primary users are supported with their target signal-to-interference-plus-noise ratios (SINRs), which is assumed feasible. Expand
Effective Scheduling in Infrastructure-Based Cognitive Radio Networks
TLDR
A suboptimal heuristic greedy algorithm that can be obtained at a much lower complexity based on the coloring interference graph among unserved SUs effected by serviced SUs and active PUs is proposed. Expand
Hierarchical Competition for Downlink Power Allocation in OFDMA Femtocell Networks
TLDR
The performance of the system at a Stackelberg equilibrium is found to be much better than that at a Nash equilibrium, and a sufficient condition is given for its convergence. Expand
Distributed Priority-Based Power and Admission Control in Cellular Wireless Networks
TLDR
It is shown that the proposedpriority-based power and admission control algorithm solves the priority-based gradual removal problem efficiently and minimizes the outage-ratio of low-priority users subject to zero-outage-ratIO of high-priority Users. Expand
Joint Power and Admission Control for Ad-Hoc and Cognitive Underlay Networks: Convex Approximation and Distributed Implementation
TLDR
A centralized approximate solution to power control in interference-limited cellular, ad-hoc, and cognitive underlay networks is developed, which alternates between distributed approximation and distributed deflation - reaching consensus on a user to drop, when needed. Expand
Power Control and Channel Allocation in Cognitive Radio Networks with Primary Users' Cooperation
TLDR
This work considers a point-to-multipoint cognitive radio network that shares a set of channels with a primary network and proposes two-phase mixed distributed/centralized control algorithms that require minimal cooperation between cognitive and primary devices. Expand
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