Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Results are presented on code performance and capacity bounds for channels with Gaussian, bi-level, block interference for binary and nonbinary modulation, noncoherent demodulation, and soft-decision decoding. Each transmitted block is corrupted by additive white Gaussian noise that has one of two por spectral densities. The smaller of the two is the por spectral density of the thermal noise, and the difference beten the two spectral densities is the por spectral density of the interference noise. The average por in the interference is constant, so the por spectral density of the interference is inversely proportional to the average fraction of the blocks that have interference. This block interference channel has been used to model partial-band interference in frequency-hop communications and to model pulsed interference in a number of communication systems. Throughput results for turbo-product and low-density parity-check codes that are used on Gaussian block interference channels are compared with the capacity bounds for such channels. For some code rates,  show that the throughput of the codes and the capacity bounds are both nonmonotonic functions of the fraction of the blocks that have interference. Applications to adaptive-rate coding are discussed.
['Michael B. Pursley', 'Thomas C. Royster']
I am writing a research paper on a idea Shannon bounds on the throughput for Gaussian, bi-level, block interference channels
[{"from": "human", "value": "I am writing a research paper on a idea Shannon bounds on the throughput for Gaussian, bi-level, block interference channels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Results are presented on code performance and capacity bounds for channels with Gaussian, bi-level, block interference for binary and nonbinary modulation, noncoherent demodulation, and soft-decision decoding. Each transmitted block is corrupted by additive white Gaussian noise that has one of two por spectral densities. The smaller of the two is the por spectral density of the thermal noise, and the difference beten the two spectral densities is the por spectral density of the interference noise. The average por in the interference is constant, so the por spectral density of the interference is inversely proportional to the average fraction of the blocks that have interference. This block interference channel has been used to model partial-band interference in frequency-hop communications and to model pulsed interference in a number of communication systems. Throughput results for turbo-product and low-density parity-check codes that are used on Gaussian block interference channels are compared with the capacity bounds for such channels. For some code rates,  show that the throughput of the codes and the capacity bounds are both nonmonotonic functions of the fraction of the blocks that have interference. Applications to adaptive-rate coding are discussed."}]