Distributed low-overhead schemes for multi-stream MIMO interference channels
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 7018072 |
Pages (from-to) | 1737-1749 |
Journal / Publication | IEEE Transactions on Signal Processing |
Volume | 63 |
Issue number | 7 |
Publication status | Published - 1 Apr 2015 |
Link(s)
Abstract
Our aim in this paper is to propose fully distributed schemes for transmit and receive filter optimization. The novelty of the proposed schemes is that they only require a few forward-backward iterations, thus causing minimal communication overhead. For that purpose, we relax the well-known leakage minimization problem, and then propose two different filter update structures to solve the resulting nonconvex problem: though one leads to conventional full-rank filters, the other results in rank-deficient filters, that we exploit to gradually reduce the transmit and receive filter rank, and greatly speed up the convergence. Furthermore, inspired from the decoding of turbo codes, we propose a turbo-like structure to the algorithms, where a separate inner optimization loop is run at each receiver (in addition to the main forward-backward iteration). In that sense, the introduction of this turbo-like structure converts the communication overhead required by conventional methods to computational overhead at each receiver (a cheap resource), allowing us to achieve the desired performance, under a minimal overhead constraint. Finally, we show through comprehensive simulations that both proposed schemes hugely outperform the relevant benchmarks, especially for large system dimensions.
Research Area(s)
- Distributed algorithms, forward-backward algorithms, interference leakage minimization, iterative weight update, MIMO interference channels, turbo optimization
Citation Format(s)
Distributed low-overhead schemes for multi-stream MIMO interference channels. / Ghauch, Hadi; Kim, Taejoon; Bengtsson, Mats et al.
In: IEEE Transactions on Signal Processing, Vol. 63, No. 7, 7018072, 01.04.2015, p. 1737-1749.
In: IEEE Transactions on Signal Processing, Vol. 63, No. 7, 7018072, 01.04.2015, p. 1737-1749.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review