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Optimal power control in MIMO systems with quantized feedback

Optimal power control in MIMO systems with quantized feedback,10.1109/T-WC.2008.060911,IEEE Transactions on Wireless Communications,Mohammad Ali Khoja

Optimal power control in MIMO systems with quantized feedback   (Citations: 3)
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We treat the problem of outage minimization via power control in MIMO systems with quantized feedback. We formulate the optimal quantized power control design for a general MIMO system and provide the numerical procedure for finding the optimal solution. Our results not only extend but also show the deficiency of the existing quantized power control schemes for MISO systems. We further propose a design based on the pre-evaluation of the packet error rate performance of practical MIMO systems employing short-length LDPC codes and QAM modulations and with possibly unreliable feedback links. It is demonstrated that with only a few bits of feedback, the resulting quantized power control strategy achieves considerable gain over a system without power control.
Journal: IEEE Transactions on Wireless Communications , vol. 7, no. 12-1, pp. 4859-4866, 2008
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    • ...For outage minimization, [7], [8], [9] showed that the optimal index mapping for the power codebook has a circular structure, where the same index is assigned to both the best and the worst channel realizations...
    • ...Following [8], [9] where it was shown that the optimal index mapping of the power codebook for outage minimization has a circular structure, the outage region Rout = {h : D(h, P1) >D max}, is a subset of RL. The circular index mapping structure dictates that we assign the power codeword PL to the L-th quantized region which includes the outage region (since in the outage region, it only makes sense to allocate the power codeword with ...

    Chih-Hong Wanget al. Distortion Outage Minimization in Rayleigh Fading Using Limited Feedba...

    • ...Motivated by this, there are a number of works that have looked at outage minimization for fading channels with limited feedback. Such works include [4], [5], [6], [7]...
    • ...In particular, [7] looks at outage minimization with a finite-rate power codebook for MIMO systems...
    • ...This allows the authors of [7] to reduce the finite-rate power codebook design problem to an equivalent scalar quantization problem...
    • ...The finite feedback strategy (see also [4],[7]) is as follows: a fixed power codebook P={P1,...,PL} (size L) (designed offline) with rate B = log2 L is known at both transmitter and receiver; the feedback channel is error-free and delayfree, L distinct feedback signals can be conveyed to the transmitter to indicate each power levels in codebook P; We assume full CSI at the receiver...
    • ...[4],[7] provides the optimal h → J(h) mapping result...
    • ... basic idea of h → J(h) mapping is that the space defined by all possible sets of channel states h = (h1,...,hM) is partitioned into L regions R1, R2,..., RL, resulting in a feedback codeword of B = log 2 (L) bits, by a set of quantization thresholds {r1j,...,rMj} L=1 . Let Pj = {p1j,...,pMj} present the corresponding power levels for Rj, j = 1, 2,...,L (note that power levels for different channels here are distinct as opposed to [4], [7] ...
    • ...[4], [7] also showed that the optimal quantization region has a ’circular’ structure...
    • ...For large values of L, one can use the equal average power per region (EPPR) approximation for such a scalar quantization problem, as also used in [7], but first derived by [5] using the Mean Value Theorem...

    Yuan Yuan Heet al. Efficient algorithms for outage minimization in parallel fading channe...

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