Details

Autor(en) / Beteiligte

• Chen, Xiang
• Gong, Feng-Kui
• Zhang, Hang
• Li, Guo

Titel

Cooperative User Scheduling in Massive MIMO Systems

Ist Teil von

• IEEE access, 2018-01, Vol.6, p.21910-21923

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2018

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Taking advantage of distributed computation and the characteristic of device-to-device (D2D) communication among users, a cooperative user scheduling (CUS) scheme is first proposed. Through reducing the number of users which feedback their channel state information (CSI) to the base station, the problem of huge feedback in massive multiple-input multiple-output (MIMO) systems can be, to a large extent, solved. The property of D2D allows users to exchange information, so the users can calculate their correlation coefficients with the selected best user locally. Then, these coefficients are used to filter out these strongly correlated users without greatly affecting the system sum rate. Specially, to decrease the computational complexity and reduce the number of feedback users, the cell users are divided into several groups randomly. The users in the same group can determine by themselves, which need to feedback their CSIs, so the global optimal selection problem is decomposed into several local optimization problems. Through theoretical analysis on the CUS scheme, we obtain the lower bound expression of system sum rate. Simulation results indicate that the uplink feedback resources can be greatly saved with the CUS scheme while the proposed scheme's influence on the system sum rate is negligible.