Fractional frequency reuse (FFR)-based multi-cell cooperative multiple-input multiple-output (MIMO) system

Abstract

The invention discloses a fractional frequency reuse (FFR)-based multi-cell cooperative multiple-input multiple-output (MIMO) system, and belongs to the field of cellular wireless communication. The system comprises at least one hyper MIMO cluster (HMC); each HMC comprises an internal cooperative MIMO cluster and external cooperative MIMO clusters; the external cooperative MIMO clusters are circumferentially arranged along the outer edge of the internal cooperative MIMO cluster; the same frequency is used in the internal cooperative MIMO cluster in each HMC; different frequencies are used in the adjacent external cooperative MIMO clusters of each HMC; and different frequencies are used in all cooperative MIMO clusters in each HMC. Because an FFR-based frequency distribution mode is adopted in the cooperative cellular system, compared with a full frequency multiplexing system, higher channel capacity can be acquired. In addition, elimination of co-channel interference among the clusters is realized without depending on certain pre-coding technology based on the cooperation of the MIMO clusters, so the FFR-based multi-cell cooperative MIMO system can be used in both uplink and downlink systems.

Description

technical field [0001] The invention relates to an FFR-based multi-cellular cooperative MIMO system, which belongs to the field of cellular wireless communication. Background technique [0002] With the advancement of social informatization, wireless applications such as mobile multimedia and mobile Internet that consume a large amount of bandwidth are developing rapidly, constantly challenging the performance limit of existing wireless communication networks. Although advanced technologies such as more powerful error-correcting codes and adaptive modulation have greatly improved system performance, the fundamental problem that limits the capacity of cellular networks—interference between users on the same channel—is still not resolved. Moreover, with the increase in the number of users, the density of base stations in the cellular network is also increasing, forcing the next-generation cellular network to adopt a tighter frequency reuse method, so that the bottleneck effect...

AI Technical Summary

Problems solved by technology

[0006] Currently people are figure 1 In the downlink cellular system shown, more attention has been paid to the design based on virtual MIMO clusters. In the downlink system, because the position of the base station is determined and the base stations can communicate through high-speed links, it can be carried out through cooperation between base stations. Some precoding techniques, such as DPC (dirty paper coding) and block diagonalization, are used to suppress interference. In the uplink system, since the positions of users are generally randomly distributed in each cell, and it is difficult for users to AC, so these interference suppression techniques are difficult to use in the uplink system

[0007] In addition, in these existing designs based on virtual MIMO clusters, more consideration should be given to the full frequency multiplexing network using the same frequency within each MIMO cluster and between MIMO clusters, and we found through research that the same frequency MIMO clusters Interference can greatly reduce the channel capacity of such networks

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