On Analyzing Beamforming Implementation in O-RAN 5G

The open radio access network (O-RAN) concept is changing the landscape of mobile networks (5G deployment and 6G research). O-RAN Alliance’s suggestions that O-RAN can offer openness and intelligence to the traditional RAN vendors will enable the capability for multi-vendors to re-shape the RAN structure and optimize the network. This paper positions the main research challenges of the O-RAN approach in regards= to the implementation of beamforming. We investigate the O-RAN architecture and the configurations of the interfaces between O-RAN units and present the split options between the radio and distributing units in terms of O-RAN specification and 3GPP standards. From this point, we discuss the beamforming methods in O-RAN, addressing challenges and potential solutions, and suggest the introduction of the zero-forcing equalizer as a precoding vector in the channel-information-based beamforming method. This may be one of the solutions for achieving flexibility in a high-traffic communication environment while reducing the radio unit interferences caused by implanting the precoding in the open radio unit.

A Precoding Scheme Based Game Theory for Cooperative MIMO System

This paper considers a tradeoff between maximizing the user’s signal interference noise ratio and minimizing interference leakage in preprocessing for multi-cell MIMO system. A sub-optimal precodingalgorithm based on game theory is proposed to deal with it. A game-based algorithm mathematics model is constructed and interference pricing function is also introduced in the solution to the precoding vector by Lagrange equation. Implement step of the proposed algorithm is also summarized in the paper. Finally in simulation the proposed algorithm is compared with conventional algorithms and convergence of utility function is also discussed. The simulation results show that the proposed algorithm provide improvement over existing schemes.