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Han and Zhang [17, 18] respectively analyze the system game performance of two cooperative interference nodes and the game performance of multi-user shared single cooperative interference node system.
We propose a low-complexity, distributed and cooperative interference mitigation method which is aware of network load and propagation conditions.
First, the interest distribution relationship between the source node and other cooperative interference nodes is modeled as the Stackelberg game.
By combining the transmission power of the source node and the transmission power of the cooperative interference node, each source node always minimizes the payment of its own.
The source node pays the consumption of the power consumed by the cooperative jamming nodes and motivates the cooperative interference nodes to participate actively.
Here, N cooperative interference node J1,…,J N are equipped with a omnidirectional single antenna to transmit and receive data and jointly implement beamforming interference eavesdropping node.
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This was demonstrated on a real-time hardware testbed with a non-cooperative interference source.
The non-cooperative interference source was a single antenna transmission convolved with its own channel.
Interference mitigation algorithms that can operate with only these covariance estimates offer greater exibility for communications systems dealing with non-cooperative interferences.
In this work, we present a simple, cooperative, distributed interference management scheme which addresses interference problems experienced and generated by macro, pico, and femto base stations.
Based on the analysis stated above, we can combine both Sections 3 and 4 together to form our proposed cluster-based cooperative femtocell interference mitigation scheme.
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