Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider a large distributed MIMO system where wireless users with single transmit and receive antenna cooperate in clusters to form distributed transmit and receive antenna arrays.  characterize how the capacity of the distributed MIMO transmission scales with the number of cooperating users, the area of the clusters and the separation beten them, in a line-of-sight propagation environment.  use this result to ansr the following question: can distributed MIMO provide significant capacity gain over traditional multi-hop in large ad hoc networks with n source-destination pairs randomly distributed over an area A? Two diametrically opposite ansrs [24] and [26] have emerged in the current literature.  show that neither of these two results are universal and their validity depends on V the relation beten the number of users n and √A/λ, which  identify as the spatial degrees of freedom in the network. λ is the carrier wavelength. When √A/λ ≥ n, there are n degrees of freedom in the network and distributed MIMO with hierarchical cooperation can achieve a capacity scaling linearly in n as in [24], while capacity of multihop scales only as √n. On the other hand, when √A/λ ≤ √n as in [26], there are only √n degrees of freedom in the network and they can be readily achieved by multihop. Our results also reveal a third regime where √n ≤ √A/λ ≤ n. Here, the number of degrees of freedom are smaller than n but larger than what can be achieved by multi-hop.  construct scaling optimal architectures for this intermediate regime.
['Ayfer Ozgur', 'Olivier Lévêque', 'David Tse']
I am writing a research paper on a idea Spatial Degrees of Freedom of Large Distributed MIMO Systems and Wireless Ad Hoc Networks
[{"from": "human", "value": "I am writing a research paper on a idea Spatial Degrees of Freedom of Large Distributed MIMO Systems and Wireless Ad Hoc Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider a large distributed MIMO system where wireless users with single transmit and receive antenna cooperate in clusters to form distributed transmit and receive antenna arrays.  characterize how the capacity of the distributed MIMO transmission scales with the number of cooperating users, the area of the clusters and the separation beten them, in a line-of-sight propagation environment.  use this result to ansr the following question: can distributed MIMO provide significant capacity gain over traditional multi-hop in large ad hoc networks with n source-destination pairs randomly distributed over an area A? Two diametrically opposite ansrs [24] and [26] have emerged in the current literature.  show that neither of these two results are universal and their validity depends on V the relation beten the number of users n and \u221aA/\u03bb, which  identify as the spatial degrees of freedom in the network. \u03bb is the carrier wavelength. When \u221aA/\u03bb \u2265 n, there are n degrees of freedom in the network and distributed MIMO with hierarchical cooperation can achieve a capacity scaling linearly in n as in [24], while capacity of multihop scales only as \u221an. On the other hand, when \u221aA/\u03bb \u2264 \u221an as in [26], there are only \u221an degrees of freedom in the network and they can be readily achieved by multihop. Our results also reveal a third regime where \u221an \u2264 \u221aA/\u03bb \u2264 n. Here, the number of degrees of freedom are smaller than n but larger than what can be achieved by multi-hop.  construct scaling optimal architectures for this intermediate regime."}]