Code and algorithm design and optimization

This work package will investigate and develop physical and lower MAC layer solutions for the RECUE system. The objectives of WP2 can be summarized as follows
- Develop practical and carefully optimized joint source-channel coding/decoding algorithms for lossy distributed networks. The developed algorithms aim at achieving factor 10 capacity enhancement and factor 10 frequency efficiency increase; reducing the required transmit power by 1⁄4 per bit; reducing more than 10 times the outage probability as the measure of the network flexibility and robustness in the time-varying topology environments; achieving the performance curves 2-3 dB away from the theoretical limits identified by WP1.
- Integrated physical and lower MAC layer assessment and evaluation of the identified algorithms including joint source-channel coding/decoding, source-correlation estimation, optimal distributed power allocation and minimization, and information-distortion minimization through both computer simulations and SDR testing.
- Given input regarding the specifications and requirements for the physical layer towards WP4.
The provided deliverables will detail results of the code and algorithm design, their performances in model-based channels confirmed by anechoic chamber described in WP4 and the channels measured in real field through measurement campaign.

WP2: Code and algorithm design and optimization] investigate and develop physical and lower MAC layer solutions for the RECUE system. Task 2.1 identifies practical coding and decoding algorithms which achieve the close-limit performance. Trade-off between distortion, network outage probability, and transmit powers are formulated, and the optimal power allocation while keeping the outage and/or distortion constant are investigated in Task 2.2 and Task 2.3 respectively. Their performance is then investigated in Task 2.3 in model based terrestrial and satellite mobile propagation environments. Note that WP2 also includes the validation of the proposed solutions over the test platform.

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