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Figure 1 Distribution of quantized 2-by-1 beamforming vector based on fixed feedback rate.
Figure 2 Distribution of quantized 2-by-1 beamforming vector based on variable feedback rate.
We assume that each MS independently determines its transmit beamforming vector based on the locally available CSI.
In multicell MIMO systems with local CSI sharing, each BS determines its beamforming vector based on CSI of both intracell and intercell links.
In the first step, each MS determines its transmit beamforming vector based on the locally available CSI and calculates the amount of potential interference caused to adjacent cells.
In the fourth strategy, each transmitter determines its own beamforming vector based on knowledge of how it affects the achievable rates of unintended receivers.
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The beamforming vectors based on the objective functions above can be expressed as w 2 opt = P 2 e υ ( h c l h c l H + σ n 2 ) - 1 h 2 h 2 H (30). where e v (A) denotes the eigenvector corresponding to the largest eigenvalue of matrix A and thus fulfill the power constraint in (4).
Each BS selfishly determines the precoding vector based on the eigen-beamforming.
Let R IC m and R IC r denote respectively the rates of the macrocell user and the RRH cell user in the cooperative area achieved using interference coordination such as the zero-forcing beamforming, and R WIC m and R WIC r denote the rates achieved without using interference coordination, where the MBS and the RRH BS design their transmit beamforming vectors independently based on local CSI.
3) Attack vector based on PLC impersonator .
4) Attack vector based on PLC program .
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