Base station beamforming technique using multiple signal‐to‐interference plus noise ratio balancing criteria

Abstract

The authors propose a coordinated multi-cell beamforming technique for signal-to-interference plus noise ratio (SINR) balancing under multiple base station power constraints. Instead of balancing SINR of all users in all cells to the same level, the authors' propose a new approach to balance SINR of users in various cells to different maximum possible values. This has the ability to allow users in cells with relatively more transmit power or better channel condition to achieve a higher balanced SINR than that achieved by users in the worst-case cells. This multi-level SINR balancing problem is solved using SINR constraints based SINR balancing criterion and subgradient method. The simulation results support the optimality of the results through comparison with semi-definite programming-based optimisation

An interference constraint and SINR balancing based coordinated multicell beamforming

“…However, the focus of these works has not been on SINR balancing. Compared to [9], the advantage of the method proposed in this paper is that for a specific round of optimization, only users served by those BSs that have excess transmission power need to be optimized. However, in [9], all users in all cells have to be optimized in every optimization round, which is computationally unattractive.…”

“…In our recent work [9], we considered a scenario where SINRs of users in various cells are balanced and maximized to different SINR levels rather than balancing SINRs of all users in all cells to the identical level. The aim of the algorithm developed in [9] was to fairly balance users in a specific cell to the same SINR level while guaranteeing that the achieved SINR is the best that the users could achieve in the corresponding cell with its maximum transmission power.…”

“…We solved this problem by balancing SINR of users in various cells sequentially while constraining SINR of users in those cells that have already achieved the balanced SINR to specific target SINR. Instead of employing target SINR constraints as proposed in [9], in this paper, we introduce a set of interference constraints at each round of the optimization process to find the optimum beamformers and power allocation. The interference based beamformer design has been studied in [7] and [10].…”

“…The aim of the algorithm developed in [9] was to fairly balance users in a specific cell to the same SINR level while guaranteeing that the achieved SINR is the best that the users could achieve in the corresponding cell with its maximum transmission power. We solved this problem by balancing SINR of users in various cells sequentially while constraining SINR of users in those cells that have already achieved the balanced SINR to specific target SINR.…”

Coordinated multicell beamforming with local and global data rate constraints

“…The authors in [10] emphasized that even though the users can be served by multiple transmitters, the information symbols are coded and transmitted independently. Coordinated beamforming with user fairness based SINR balancing techniques were also considered in [11]- [16].…”