Semi-Blind Detection in Hybrid Massive MIMO Systems via Low-Rank Matrix Completion | Zendy

Shansuo Liang | Zendy; Xiaodong Wang | Zendy; Li Ping | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Semi-Blind Detection in Hybrid Massive MIMO Systems via Low-Rank Matrix Completion

Author(s) -

Shansuo Liang,

Xiaodong Wang,

Li Ping

Publication year - 2019

Publication title -

ieee transactions on wireless communications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.01

H-Index - 223

eISSN - 1558-2248

pISSN - 1536-1276

DOI - 10.1109/twc.2019.2934846

Subject(s) - computer science , telecommunications link , overhead (engineering) , mimo , channel (broadcasting) , algorithm , payload (computing) , rank (graph theory) , mathematics , network packet , computer network , combinatorics , operating system

In massive multiple-input multiple-output (MIMO) systems with hybrid analog/digital architectures, large training overhead is required for conventional pilot-only methods to estimate channel accurately before detecting data. To reduce the training overhead, a semi-blind detection method is proposed for data detection without knowing channel in an uplink multi-user system. The main idea is to explo...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research