Soft gravity by squaring soft QED on the celestial sphere

Mesophases of soft-sphere aggregates

Towards complexity-reduced Soft-Input Soft-Output Sphere Detection

Iterative detection↔decoding is a powerful approach for wireless multiple-input multiple output (MIMO) transmission to achieve very high detection performance, but comes at the costs of high processing complexity at the receiver side. In order to enable efficient hardware realizations, it is necessary to suitably reduce the inherent increase in complexity when a-priori information (i.e. soft-in...

Soft-Input Soft-Output Single Tree-Search Sphere Decoding

Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for practical receiver implementations, in particular in the context of multiple-input multiple-output (MIMO) wireless communication systems. In this paper, we present a low-complexity SISO sphere-decoding algorithm, based on...

VLSI Architecture for MIMO Soft-Input Soft-Output Sphere Detection

Achieving good detection performance while incurring low complexity is known to be one of the major challenges in multiple-input multiple-output (MIMO) communications based on spatial multiplexing. The tuple search detector (TSD) was recently introduced, improving this trade-off with regard to other tree-search-based algorithms (e.g. single tree search or list sphere detector). Motivated by the...

Soft-input soft-output lattice sphere decoder for linear channels

Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list ...