In each stage, it firstly computes the Euclidean distance from the received information to all of the constellation nodes (i.e., expansion task) and then sorts the obtained results (i.e., sorting task) to select K best nodes.
In this paper, we propose an algorithm and hardware design of a 2D sorter-based K-best MIMO decoder whose complexity is negligibly affected by W. The main novelties of the algorithm are the following: (1) Direct expansion and parent node grouping ideas are proposed for reducing the expansion task's complexity.
Like the construction of the original canal, an engineering masterpiece that opened in 1914 after 10 years of work by the United States Army Corps of Engineers, the expansion project is a daunting task, but for different reasons.
Besides taking issue with the size of the expansion, the task force report suggested two different locations for the satellite growth: the financial district and Long Island City, Queens.
Given the substantive expansion of task shifting over the last 7 years in Mozambique, this study would likely yield different results if its methods were replicated today.
Nonetheless, the snapshot that this study offers is still relevant now for other countries considering the adoption or expansion of task shifting for ART.
However, the complexity of its expansion and sorting tasks is significantly affected by the constellation size W.
If we denote W as the number of constellation nodes, complexity of the expansion and sorting tasks increases proportionally to W and W2, respectively.
Studying these proposals, we recognize that the expansion and sorting tasks are still too complex for practical implementation if a large value of K and high-order modulation types such as 256-QAM are needed.
Expansion of these tasks could include insertion of intrauterine devices and minor surgical procedures.
As a result they are better equipped to provide personalized care for people with dementia and their caregivers and for an expansion of their tasks and responsibilities.
