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The performance of wireless communication systems is fundamentally constrained by random and uncontrollable wireless channels. Recently, reconfigurable intelligent surfaces (RIS) has emerged as a promising solution to enhance wireless network performance by smartly reconfiguring the radio propagation environment. While significant research has been conducted on RIS-assisted wireless systems, this paper focuses specifically on the deployment of RIS in a wideband millimeter wave (mmWave) multiple-input-multiple-output (MIMO) system to achieve maximum sum-rate. First, we derive the average user rate as well as the lower bound rate when the covariance of the channel follows the Wishart distribution. Based on the lower bound of users' rate, we propose a heuristic method that transforms the problem of optimizing the RIS's orientation into maximizing the number of users served by the RIS. Simulation results show that the proposed RIS deployment strategy can effectively improve the sum-rate. Furthermore, the performance of the proposed RIS deployment algorithm is only approximately 7.6\% lower on average than that of the exhaustive search algorithm., Comment: 16 pages, 9 figures

In this paper, we propose a novel integrated communication and positioning design for orthogonal frequency division multiplexing system aided by a reconfigurable intelligent surface (RIS) in indoor circumstances. The channel frequency responses on pilots (CFROPs) of places of interest are used for online mapping with the offline CFROP database. We transform the objective of minimizing the similarity of different CFROPs into creating a differentiated database by optimizing the phase coefficients of RIS. Imperfect channel state information is considered due to time-varying caused by the two-stage mapping. We formulate a universal optimization problem for maximizing either the average or the minimum virtual distance of CFROPs. The communication service requirements are converted as constraints. A moderate case is discussed to reduce computational complexity with minor accuracy loss. A special property called correlation dispersion is analyzed. It is capable of eliminating the spatial consistency that incurs inaccuracy to traditional positioning methods. The property and the moderate case complement each other well with clear and logical physical interpretation. The particular characteristic makes our design outperform others especially in high-level-noise environments. It works even better when the prior information of user's potential location is available. The validity of our design is confirmed by numerical results.