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In Section 3, we develop a framework to correct for interference in network construction, a post-processing step that clusters regulators and calculates regulator interference within clusters for each target.
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We use the protocol-based interference model [23] to build the conflict graph, which is widely used for modeling interference in wireless networks [11, 12, 18, 19].
3D beamforming is a promising approach for interference coordination in cellular networks which brings significant improvements in comparison with conventional 2D beamforming techniques.
In this contribution, we provided a reconfigurable SDR transceiver implementation for interference management in CR networks.
BS cooperation is viewed as a key element for interference management in mobile networks [132].
However, as the network connectivity increases by increasing x in the Select x for less than x TCA so does the interference in the network.
Many other models for imprecise network information have been considered for interference networks.
Interference in wireless networks significantly limits the network capacity.
The paper "Scalable HetNet Interference Management and the impact of limited Channel State Information" by Chiumento et al. [1] proposes a distributed heuristic algorithm for interference mitigation in heterogeneous LTE networks which is aware of network load and propagation conditions.
CESAR [21] and BB protocol for interference coordination in optical wireless network perfectly complement each other; the former mitigates collisions due to simultaneous access in contention through (14), while the latter facilitates interference aware selection of chunks reserved by transmitting the BB signal.
Efficient resource allocation techniques also carry critical importance for alleviating the impact of interference in femtocell networks.
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