2011
DOI: 10.1109/tsp.2011.2164401
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Relay Precoder Optimization in MIMO-Relay Networks With Imperfect CSI

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Cited by 83 publications
(54 citation statements)
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“…Therefore, any finite rate is feasible for P RS (R t ), which is always guaranteed by the cutting-set method. This can also be explained by noting the QoS multicast problem [48], which is always feasible, is in fact a subproblem of (33). Fig.…”
Section: Qos Constrained Power Minimizationmentioning
confidence: 97%
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“…Therefore, any finite rate is feasible for P RS (R t ), which is always guaranteed by the cutting-set method. This can also be explained by noting the QoS multicast problem [48], which is always feasible, is in fact a subproblem of (33). Fig.…”
Section: Qos Constrained Power Minimizationmentioning
confidence: 97%
“…While modifying Algorithm 1 and Algorithm 2 to address (33) and (34) is straightforward, it should be noted that an arbitrary initialization of P may easily yield an infeasible point which fails to satisfy the rate constraints. In this case, the AO algorithm fails to produce a feasible solution, making the initialization a very crucial step.…”
Section: Qos Constrained Power Minimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…A statistically robust design has been presented for linear AF MIMO relays for two imperfect CSI scenarios in [37], whereas this approach has been extended for the same network with a direct link in [38]. In [39], a robust joint relay precoder and destination receive filters design has been considered for an AF relay network with two models of CSI error, namely, stochastic and norm-bounded errors.…”
Section: A Related Work: Mse Based Robust Designsmentioning
confidence: 99%
“…e transmitter cannot directly access its own CSI, thus CSITcan only be acquired indirectly. In practice, the quality of CSI obtained is often imperfect and degraded due to quantization errors, feedback delay, and channel estimation errors [6,7]. e imperfect CSI (ICSI) causes performance degradation and since these errors are inevitable, it is necessary to formulate robust designs to combat their effects [3].…”
Section: Introductionmentioning
confidence: 99%