Abstract: Disclosed are a communication method, a network device, and a storage medium. The method may include receiving a first reference signal sent by a second UE, and acquiring a first signal strength measurement value according to the first reference signal; receiving a second reference signal sent by a BS equipment, and acquiring a second signal strength measurement value according to the second reference signal; acquiring measurement information according to the first and second signal strength measurement values, and sending the measurement information to the first BS equipment, to instruct the first BS equipment to obtain a SINR through the measurement information, and to generate a scheduling command according to the SINR; and receiving the scheduling command sent by the first BS equipment, and performing communication according to the scheduling command.

Abstract: A Belief Propagation (BP) equalization method and apparatus, a communication device and a storage medium are disclosed. The method may include: splitting a received signal Yc, a channel estimation Hc and a symbol estimation Xc into real parts and imaginary parts to obtain a received signal matrix Y, a channel estimation matrix H and a symbol estimation matrix X (S101); performing orthogonal triangular (QR) decomposition on the channel estimation matrix H to obtain an equivalent received signal Ybp, an equivalent channel R and a noise power ?2 (S102); and performing iteration based on the equivalent received signal Ybp, the equivalent channel R and the noise power ?2 to obtain a position probability of per stream symbol (S103).

Abstract: A Belief Propagation (BP) equalization method and apparatus, a communication device and a storage medium are disclosed. The method may include: splitting a received signal Yc, a channel estimation Hc and a symbol estimation Xc into real parts and imaginary parts to obtain a received signal matrix Y, a channel estimation matrix H and a symbol estimation matrix X (S101); performing orthogonal triangular (QR) decomposition on the channel estimation matrix H to obtain an equivalent received signal Ybp, an equivalent channel R and a noise power ?2 (S102); and performing iteration based on the equivalent received signal Ybp, the equivalent channel R and the noise power ?2 to obtain a position probability of per stream symbol (S103).