Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Future data-oriented computing requires intensive memory access with burden of I/O interconnection. Traditional wired interconnect has limited bandwidth and energy-efficiency with no feature of configurability.  introduces an adaptive sub-THz wireless interconnect beten cores and main memory (DRAMs) using MIMO beamforming. To satisfy the requirement of energy efficiency and latency, a configuration problem for wireless channel management at memory controller is formulated to find the optimal value of the beamforming matrix. A low latency beamforming algorithm for sub-THz based interconnect is proposed. To meet the requirement of optimal por efficiency and nanosecond level beamforming latency, a gradient-free Mesh Adaptive Direct Search (MADS) based method is designed to find the sub-optimal solution for beamforming without knowing the channel information. The simulation shows that the proposed MADS-based algorithm converges rapidly and achieves average 90.3% optimal por efficiency when compared to the solution provided by gradient-based convex optimization algorithm. Moreover,  shows that wireless interconnect can provide better energy efficiency compared with the PCB trace wired counterparts under the same data rate.
['Zichuan Liu', 'Yuan Liang', 'Nan Li', 'Guangyin Feng', 'Hao Yu', 'Shaojie Chen']
I am writing a research paper on a idea An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs
[{"from": "human", "value": "I am writing a research paper on a idea An Energy-efficient Adaptive Sub-THz Wireless Interconnect with MIMO-Beamforming between Cores and DRAMs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Future data-oriented computing requires intensive memory access with burden of I/O interconnection. Traditional wired interconnect has limited bandwidth and energy-efficiency with no feature of configurability.  introduces an adaptive sub-THz wireless interconnect beten cores and main memory (DRAMs) using MIMO beamforming. To satisfy the requirement of energy efficiency and latency, a configuration problem for wireless channel management at memory controller is formulated to find the optimal value of the beamforming matrix. A low latency beamforming algorithm for sub-THz based interconnect is proposed. To meet the requirement of optimal por efficiency and nanosecond level beamforming latency, a gradient-free Mesh Adaptive Direct Search (MADS) based method is designed to find the sub-optimal solution for beamforming without knowing the channel information. The simulation shows that the proposed MADS-based algorithm converges rapidly and achieves average 90.3% optimal por efficiency when compared to the solution provided by gradient-based convex optimization algorithm. Moreover,  shows that wireless interconnect can provide better energy efficiency compared with the PCB trace wired counterparts under the same data rate."}]