DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Rejections - 35 USC § 102
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
Claim(s) 1 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by LEATHER et al. (US Pub No. 2023/0387996).
Claim 1, LEATHER discloses a method for calculating a spatial non-stationary wireless channel capacity for large-scale antenna array communication (See Fig. 1; and par [0056] “disclosed of a structure antenna arrays functional model”), comprising: Step 1, constructing a non-stationary channel model for a large-scale antenna array having a mutual coupling effect (par [0097] “applied mutual coupling decreases the spatial correlation level and undermines the estimation accuracy of the MIMO channel”); Step 2, building a channel measurement system for the large-scale antenna array, to obtain measurement data (par [0084] “perform of a channel measurement by the antenna arrays element to obtain measurement data by of data channels”); Step 3, optimizing simulation parameters for a channel of the large-scale antenna array, and simulating a spatial cross-correlation function (par [0085] “disclosed the method 600 performed of simulate to determine the correlation function, for example corresponding to the antennas examined at this time, and may further comprise determining the antenna correlation at least between a first antenna and a second antenna of the wireless interface arrangement in par [0086])”); Step 4, proposing and calculating a spatial stationary interval according to the spatial cross- correlation function (par [0109] “proposing and calculating a spatial stationary interval according to the spatial cross- correlation function by par [0441] BER can be measured statistically by either changing the SNR for every channel realization, and providing a sufficiently high enough number of channel realizations with the channel emulator which can be calculated by statistical means based of the provided of the synthesized propagation channel ); Step 5, calculating a channel capacity within the interval and the total channel capacity according to the stationary interval par [0497] “perform of time intervals, for example when compared to known concepts as the orientation of the three devices relative to each other and available multipath components) ; and Step 6, comparing simulation results with measurement results, to verify correctness of a capacity calculation of the non-stationary channel (See Fig. 16, and par [0034] “comparing simulation results with measurement results by for example shows a comparison of a performance of various schemes, therein a SISO (1×1), SIMO (1×8, 1×19), MISO (8×1, 19×1) and MIMO (3×3, 1×10)”).
Allowable Subject Matter
Claims 2-6 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Claim 2. The method for calculating the spatial non-stationary wireless channel capacity for the large-scale antenna array communications according to claim 1, wherein steps of Step 1 are specifically as follows: Step 101, constructing a channel matrix H = [PL - SH - BL - OL]L-HS for a non-stationary massive MIMO channel model, where PL denotes a path loss, SH denotes a shadowing that follows a lognormal distribution, BL denotes a blockage loss, and OL denotes an oxygen loss; HS = [hqp(t, )]
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denotes a small-scale fading matrix, MR and MT denote the number of antennas at the receiving and transmitting terminal, respectively; Step 102, modeling a spherical wavefront; wherein a distance
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(t) between the transmitting terminal and a n-th cluster through an m-th ray at time instant t is represented as:
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(t) =
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vT(t) - vAn(t) where
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denotes a length of an antenna at the transmitting terminal
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denotes a distance vector from a first transmitting antenna to a first cluster on a n-th path through the m-th ray at an initial time, vf (t) and vAn (t) denote moving speeds of the transmitting terminal and the first cluster on the n-th path at time t, respectively; Step 103, modeling an evolution on an array axis; characterizing, by utilizing a generation and disappearance process, generations and disappearances of clusters, wherein for the transmitting terminal, a survival probability of the cluster on the array axis is calculated by a following equation:Psur
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where lR denotes a disappearance rate of the cluster, Q, denotes a distance from a first antenna to a p-th antenna at the transmitting
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denotes a scenario-dependent coefficient in a spatial domain; similarly, a survival probability of the receiving terminal is:
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$E
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(Sq= where Sq denotes a distance from a first antenna to a q-th antenna at the receiving terminal, f3 and f3 denote an elevation angle of an antenna array of the transmitting terminal and an elevation angle of an antenna array of the receiving terminal respectively; therefore, a number of newly generated clusters generated by a spatial evolution is represented as: E[Nnew]
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(1- Psur
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where )LG denotes a generation rate of the clusters; Step 104, modeling a mutual coupling effect between antennas; describing the mutual coupling between the antennas by utilizing an impedance matrix, obtaining a multi-port model by correlating antenna currents and antenna voltages with port currents and port voltages:
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where u1,i1 denote port voltages and port currents at the transmitting terminal, respectively and u2,i2 denote port voltages and port currents at the receiving terminal, 18
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respectively,
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Z22 denote a transmitting impedance matrix and a receiving impedance matrix respectively, and Z12, Z21 denote mutual impedance matrixes; representing, when considering a uniform linear array of isotropic antennas, a mutual coupling effect considering an input and a load impedance as:c= (ZG + ZL
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(Z +
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where ZG denotes an input impedance of an element in a free space, and ZL is a matched load impedance; a current vector is represented as I and a matrix Z is extended to:
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ZL Z12
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ZG+Z Zq2 expressing, after adding the mutual coupling effect, a channel matrix as: G=-H where c and denote a coupling matrix of the receiving terminal and a coupling matrix of the transmitting terminal respectively.
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Alexiou (US Pub No. 2005/0118958) discloses evaluating performance of a multiple input multiple output MIMO communication link.
SCHMIDT (US Pub No. 2018/0006741) discloses testing device and testing method with a fading simulator.
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/PHUOC H DOAN/ Primary Examiner, Art Unit 2646