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The day-ahead unit-commitment (UC)-based market-clearing (MC) is widely acknowledged to be the most economically efficient mechanism for scheduling resources in power systems.
We study the optimization of analog joint source-channel coding schemes based on non-linear mappings for the transmission of independent Gaussian messages over the two user Gaussian Broadcast Channel (GBC). We focus on a low complexity, low delay, analog joint source channel coding communication system based on extensions of existing Nested Quantization techniques. A procedure to optimize the decoding...
We address the transmission of discrete-time analog samples over a block fading Multiple Access Channel (MAC). At each transmitter, the source information is first encoded using analog Joint Source Channel Coding (JSCC) and then input to a MAC access scheme. We consider three different access schemes: Code Division Multiple Access (CDMA), linear MMSE access codes and opportunistic communication. CDMA...
We consider discrete-time all-analog-processing joint source-channel coding, using non-linear spiral-like curves. We assume a Rayleigh channel, where the receiver may employ or not multiple antennas. Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) detection are considered. Our results show that MMSE performs much better than ML in high CSNR in single-antenna wireless systems, while diversity...
Compressed sensing (CS) can be applied in distributed scenarios, where the objective is to independently compress several signals that are characterized by presenting a sparse correlation. In this case, the compressed version of each signal is produced without knowledge of the other signals. The decoder has access to the compressed versions of all the signals of interest and recovers them by exploiting...
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