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S̆ulc et al. [11] exploit the (convex) LinDistFlow approximation as a lower complexity alternative to SDP relaxation.
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The derivatives of SD such as Optimized Hierarchy Reduced Search Algorithm OHRSSA) [20] were proposed which are capable of achieving ML performance at a lower complexity.
By analyzIng the orderal allocatoon function given by (11), it comes that this function is monotonically increduceg witherespecomplexity
In this paper an extended optimization procedure is proposed for the construction of statistically similar RVEs (SSRVEs) which are defined as artificial microstructures showing a lower complexity than the associated real microstructures.
EGT therefore approaches the best BER performance, while keeping a lower complexity as already indicated in Section 2.4.
Consequently, we formulate hybrid precoders design as a block-sparse reconstruction problem and a lower complexity algorithm for finding precoders is proposed based on the greedy sequence clustering.
Furthermore, we show that our detectors exhibit the same EXIT chart behavior as the MMSE-assisted SD [20], yet with a lower complexity, even more reduced w.r.t.
As an alternative to the MRC approach we propose a lower complexity combiner.
The time complexity analysis results show that SA has a lower complexity than our proposed scheme.
A CLONALG technique has a lower complexity and smaller number of user parameters compared to other AIS systems such as AIRS [31].
when square to quadrilateral mappings occur, as shown in Figure 1, the linear system in (2) can be simplified, leading to a lower complexity process.
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