Optimal Power Allocation for the Chance-Constrained Vector Broadcast Channel and Rank-One Channel Approximation
keywords:
QoS power minimization; power allocation; statistical CSI; chance-constrained requirements; rank-one channels
authors:
Gründinger, A.; Bethenod, R.; Joham, M.; Riemensberger, M.; Utschick, W.
pages:
5 pages
congress title:
14th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013)
year:
2013
month:
June
abstract:
We address the linear precoder design problem based on chance constrained quality-of-service (QoS) power minimization in the vector broadcast channel (BC). We divide the problem into a two step optimization that separates the precoder design from the power allocation. For the power allocation, we propose a map that fits into the framework of standard interference functions. Therefore, we can compute the optimal power allocation for given beamformers and detect whether a tuple of beamformers is feasible. This allows us to test conservative and non-conservative approaches for the beamformer design, e.g., a design based on a rank-one channel approximation is used. Numerical results show that the approximation is adequate for the non-conservative calculation approach, i.e., the postprocessing power allocation is capable of compensating for the suboptimal beamforming. Thereby, a wider range of rate targets is achieved than with the conservative beamformer designs.
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We address the linear precoder design problem based on chance constrained quality-of-service (QoS) power minimization in the vector broadcast channel (BC). We divide the problem into a two step optimization that separates the precoder design from the power allocation. For the power allocation, we propose a map that fits into the framework of standard interference functions. Therefore, we can compute the optimal power allocation for given beamformers and detect whether a tuple of beamformers is f...
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