US 12,278,660 B2
PDMA communication system based on optimal frequency-hopping patterns
Jianguo Yao, Jiangsu (CN); Jun Ge, Jiangsu (CN); and Ziwei Liu, Jiangsu (CN)
Assigned to Nanjing University of Posts and Telecommunications, Jiangsu (CN)
Filed by Nanjing University of Posts and Telecommunications, Jiangsu (CN)
Filed on Apr. 2, 2024, as Appl. No. 18/624,139.
Application 18/624,139 is a continuation in part of application No. PCT/CN2022/126201, filed on Oct. 19, 2022.
Claims priority of application No. 202111353036.4 (CN), filed on Nov. 15, 2021.
Prior Publication US 2024/0250711 A1, Jul. 25, 2024
Int. Cl. H04B 1/713 (2011.01); H04L 5/00 (2006.01)
CPC H04B 1/713 (2013.01) [H04L 5/0007 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A pattern division multiple access communication system based on optimal frequency-hopping patterns, comprising a transmitter and a receiver, wherein the transmitter modulates an input baseband signal into a modulated signal, and then converts the modulated signal into a frequency-hopping signal that hops in frequency according to an optimal frequency-hopping pattern, the receiver reverts a received frequency-hopping signal to an output modulated signal using an optimal frequency-hopping pattern same as that of the transmitter, and then demodulates the output modulated signal into a baseband signal, where the optimal frequency-hopping patterns are obtained by applying two-dimensional cyclic shift to a Golomb Costas array constructed based on an extension field and thus are optimal frequency-hopping patterns with ideal autocorrelation and cross-correlation properties, wherein the optimal frequency-hopping patterns are obtained by applying the two-dimensional cyclic shift to the Golomb Costas array constructed based on the extension field, which is specifically as follows,
S1. determining the order N of the Golomb Costas array, and constructing the Golomb Costas array based on the extension field, wherein the step S1, the determining the order N of the Golomb Costas array is specifically as follows:
S11. for application in a cellular mobile communication system, according to the maximum Doppler shift dmax of the cellular mobile communication system with dmax being a nonnegative integer, determining the minimum Doppler distance w between optimal frequency-hopping pattern families by dmax≤w−1, determining the number s of the optimal frequency-hopping pattern families according to the number of cells in a cluster, the number s of the families being not less than the number of cells in the cluster;
S12. according to the maximum multipath delay τmax in a cell with τmax being a nonnegative integer, determining the minimum delay distance w1 between frequency-hopping patterns in each optimal frequency-hopping pattern family by τmax ≤w1−1, determining the number s1 of the frequency-hopping patterns in each optimal frequency-hopping pattern family according to the number of users in a cell, the number s1 of the frequency-hopping patterns in each family being not less than the number of users in the cell; and
S13. determining q according to the minimum Doppler distance w between the optimal frequency-hopping pattern families, the number s of the optimal frequency-hopping pattern families, the minimum delay distance w1 between the frequency-hopping patterns in an optimal frequency-hopping pattern family, and the number s1 of the frequency-hopping patterns in the optimal frequency-hopping pattern family that are obtained in steps S11 and S12, where q=pn, p being a prime number and n being a positive integer, q needs to meet both w·s≤q−1 and w1·s1≤q−1, after q is determined, determining the order N of the Golomb Costas array; N=q−2, where q=pn, p being a prime number, n being a positive integer, if n=1, the Golomb Costas array is constructed based on a prime field, or otherwise, the Golomb Costas array is constructed based on the extension field;
S2. generating the family head frequency-hopping pattern of the optimal frequency-hopping pattern family; and
S3. generating other frequency-hopping patterns in each optimal frequency-hopping pattern family from the family head frequency-hopping pattern obtained in step S2.