Specifically to UWA communications, iterative channel estimation and channel decoding has been studied and tested with real data in [22], where only single transmitter OFDM and hard decision feedback are considered.
More recently, [15] analyzes the characteristics of optimal joint power control and D2D matching strategy, based on which an energy-efficient iterative algorithm for D2D communications is proposed.
This article presents JACEP2P-V2, a Java environment dedicated to designing parallel iterative asynchronous algorithms (with direct communications between nodes) and executing them on global computing architectures or distributed clusters composed of a large number of volatile heterogeneous distant computing nodes.
This method is based on the Schwarz iterative algorithm with Robin interface conditions to handle communications.
These benefits thus allow to broaden the applicability of the iterative design with the partial CSIT in practical communications systems, especially when it is realized by codebook and limited feedback techniques [39] that we discussed in Section 3.2.
In general terms, it consists of iterative exchanging of soft information between different blocks in a communications receiver with the aim of improving the system performance.
The scheme in this paper concentrates on the iterative decoding performance for small block sizes with low iterations, which is more practical in bandwidth and delay sensitive communications.
On the other hand, nonlinear iterative interference cancellation EQ techniques have been proposed in the area of satellite communications in [6,26] for single carrier applications, while in [4] a turbo equalization method is provided for multicarrier satellite channels.
Note that iterative channel estimation and decoding has been heavily investigated in the literature of wireless radio communications.
On the other hand, the idea of iterative processing has found widespread applications not only in error control coding but also in other areas of digital communications, such as detection, interference suppression, equalization and synchronization.
This was achieved through iterative data collection and feedback loops (that included formal and informal project-related meetings, and face-to-face and email communications with VD and NS and the wider project team), to enable practical resolution of problems as they arose.
