Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  study the secrecy capacity of Gaussian multiple-input multiple-output (MIMO) wiretap channels (WTCs) with a finite memory, subject to a per-symbol average por constraint on the MIMO channel input. MIMO channels with finite memory are very common in wireless communications as ll as in wireline communications (e.g., in communications over por lines). To derive the secrecy capacity of the Gaussian MIMO WTC with finite memory  first construct an asymptotically-equivalent block-memoryless MIMO WTC, which is then transformed into a set of parallel, independent, memoryless MIMO WTCs in the frequency domain. The secrecy capacity of the Gaussian MIMO WTC with finite memory is obtained as the secrecy capacity of the set of parallel independent memoryless MIMO WTCs, and is expressed as a maximization over the input covariance matrices in the frequency domain. Lastly,  detail two applications of our result: First,  show that the secrecy capacity of the Gaussian scalar WTC with finite memory can be achieved by waterfilling, and obtain a closed-form expression for this secrecy capacity. Then,  use our result to characterize the secrecy capacity of narrowband porline channels, thereby resolving one of the major open issues for this channel model.
['Nir Shlezinger', 'Daniel Zahavi', 'Yonathan Murin', 'Ron Dabora']
I am writing a research paper on a idea The Secrecy Capacity of Gaussian MIMO Channels with Finite Memory - Full Version
[{"from": "human", "value": "I am writing a research paper on a idea The Secrecy Capacity of Gaussian MIMO Channels with Finite Memory - Full Version"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  study the secrecy capacity of Gaussian multiple-input multiple-output (MIMO) wiretap channels (WTCs) with a finite memory, subject to a per-symbol average por constraint on the MIMO channel input. MIMO channels with finite memory are very common in wireless communications as ll as in wireline communications (e.g., in communications over por lines). To derive the secrecy capacity of the Gaussian MIMO WTC with finite memory  first construct an asymptotically-equivalent block-memoryless MIMO WTC, which is then transformed into a set of parallel, independent, memoryless MIMO WTCs in the frequency domain. The secrecy capacity of the Gaussian MIMO WTC with finite memory is obtained as the secrecy capacity of the set of parallel independent memoryless MIMO WTCs, and is expressed as a maximization over the input covariance matrices in the frequency domain. Lastly,  detail two applications of our result: First,  show that the secrecy capacity of the Gaussian scalar WTC with finite memory can be achieved by waterfilling, and obtain a closed-form expression for this secrecy capacity. Then,  use our result to characterize the secrecy capacity of narrowband porline channels, thereby resolving one of the major open issues for this channel model."}]