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Many emerging technologies for wireless networks (WNs) require decentralized synchronization and ranging, i.e., distance estimation between neighboring pairs of nodes. Both tasks are related to each other when they are based on time measurements between nodes. Revealing this connection, we present a mean field (MF) message passing algorithm for cooperative simultaneous ranging and synchronization...
We propose a fully-parallel low-complexity hardware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle...
In this paper we consider a soft-input soft-output equalizer, for MIMO intersymbol interference channels, used in a turbo equalization scheme. We derive the equalizer on the basis of a cyclic factor graph representation and the sum-product algorithm, with two different message schedules (serial and parallel). In the sum-product algorithm we use Gaussian messages, which results in a low-complexity...
In this letter we consider a MIMO communication system with iterative detection over a frequency-selective MIMO channel. We present a soft-input soft-output MIMO detector based on a cyclic factor graph representation and the sum-product algorithm with two different message schedules (serial and parallel). Computer simulations show that both schedules provide near-optimum performance in terms of bit...
Factor graphs (FG) are a tool to derive efficient algorithms for complex systems by graphically displaying the structure of the mathematical model. The construction of the graph and the choice of the messages which are passed over its edges significantly determine the performance and the complexity of the derived algorithm. In our work we show the application of a FG to a MIMO detector and the derivation...
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