Wireless transmission method for realizing uplink large-scale URLLC

Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a wireless transmission method for realizing uplink large-scale URLLC, which comprises the following steps of: grouping users in a unified cell in pairs according to large-scale fading coefficients of the users and a small-scale fading environment; a base station receiving end adopts a least square channel estimation method to estimate channel state information, and obtains a pilot frequency receiving signal of the base station receiving end; according to a pilot signal received by a receiving end, based on zero-forcing detection and a finite block length theory, calculating possible deviation of a strong user, deleting obtained strong user information from total superposed information, similarly calculating possible deviation of a weak user, and sending the possible deviation of the two users and current transmitting power to a sending end; the sending end adjusts the sending power of the weak users based on a golden section search algorithm until the possible deviation of each group of users is smaller than a set threshold value; according to the invention, multiplexing of massive users is realized, the design feasible region of URLLC is expanded, and large-scale URLLC can be realized.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a wireless transmission method for realizing uplink large-scale ultra-reliable and low-latency communications (Ultra-Reliable and Low-Latency Communications, URLLC). Background technique [0002] URLLC is one of the three typical scenarios of fifth-generation (fifth-generation, 5G) mobile communications, where the URLLC scenario requires an error probability (Error probability, EP) of less than 10 -5 , the delay is less than 0.5 milliseconds, and it plays an important role in IoT scenarios such as unmanned driving and Internet of Vehicles. In the 6G era, the number of devices in IoT scenarios is expected to increase significantly. At the same time, the coverage of wireless networks has become more comprehensive, gradually realizing global seamless coverage. Network signals can not only guarantee urban coverage, but also reach any remote location. rural...

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Problems solved by technology

[0004] In actual IoT communication scenarios, fast fading is diverse, random, time-varying and unpredictable. Traditional channel models cannot simultaneously describe non-uniform fast fading such as shadow and Rayleigh fading, Rician fading and Nakagami-m fading.

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