Low-complexity user selection strategies in the downlink of multi-user channels

2006 ◽  
Author(s):  
Mingguang Xu ◽  
Dong Lin
Keyword(s):  
Low Complexity ◽  
User Selection ◽  
Selection Strategies

Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization

2006 ◽  
Vol 54 (9) ◽  
pp. 3658-3663 ◽  
Author(s):  
Zukang Shen ◽  
Runhua Chen ◽  
J.G. Andrews ◽  
R.W. Heath ◽  
B.L. Evans
Keyword(s):  
Mimo Systems ◽  
Low Complexity ◽  
User Selection ◽  
Block Diagonalization ◽  
Multiuser Mimo ◽  
Selection Algorithms ◽  
Multiuser Mimo Systems

scholarly journals Low-Complexity User Selection for Rate Maximization in MIMO Broadcast Channels with Downlink Beamforming

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Eduardo Castañeda ◽  
Adão Silva ◽  
Ramiro Samano-Robles ◽  
Atílio Gameiro
Keyword(s):  
Null Space ◽  
Low Complexity ◽  
Broadcast Channels ◽  
Selection Problem ◽  
Maximization Problem ◽  
User Selection ◽  
Downlink Beamforming ◽  
Rate Maximization ◽  
Sum Rate ◽  
Mimo Broadcast Channels

We present in this work a low-complexity algorithm to solve the sum rate maximization problem in multiuser MIMO broadcast channels with downlink beamforming. Our approach decouples the user selection problem from the resource allocation problem and its main goal is to create a set of quasiorthogonal users. The proposed algorithm exploits physical metrics of the wireless channels that can be easily computed in such a way that a null space projection power can be approximated efficiently. Based on the derived metrics we present a mathematical model that describes the dynamics of the user selection process which renders the user selection problem into an integer linear program. Numerical results show that our approach is highly efficient to form groups of quasiorthogonal users when compared to previously proposed algorithms in the literature. Our user selection algorithm achieves a large portion of the optimum user selection sum rate (90%) for a moderate number of active users.

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