DocumentCode
2044126
Title
Multi-user MIMO scheduling in the fourth generation cellular uplink
Author
Prasad, Narayan ; Honghai Zhang ; Hao Zhu ; Rangarajan, Sampath
Author_Institution
NEC Labs. America, Univ. of Illinois, Urbana, IL, USA
fYear
2013
fDate
3-6 Nov. 2013
Firstpage
1855
Lastpage
1859
Abstract
In this paper, we consider Multi-User MIMO (MU-MIMO) scheduling in the 3GPP LTE-Advanced (3GPP LTE-A) cellular uplink. The 3GPP LTE-A cellular uplink allows for precoded multi-stream (precoded MIMO) transmission from each user scheduled in the uplink along with flexible multi-user scheduling, wherein multiple users can be assigned the same time-frequency resource. However, optimally exploiting these features is challenging since certain practical constraints have to be satisfied, such as the one which demands that the number of users co-scheduled on any time-frequency resource must not exceed a specified number. We show that while the resulting resource allocation problem is NP-hard, it can be formulated as the maximization of a non-negative monotonic submodular set function subject to one matroid and multiple column-sparse knapsack constraints. We then provide low complexity approximation algorithms and demonstrate their superior performance via simulations.
Keywords
3G mobile communication; 4G mobile communication; Long Term Evolution; MIMO communication; computational complexity; optimisation; resource allocation; scheduling; 3GPP LTE-A cellular uplink; 3GPP LTE-Advanced cellular uplink; MU-MIMO scheduling; NP-hard; complexity approximation algorithms; flexible multiuser scheduling; fourth generation cellular uplink; multiple column-sparse knapsack; multiuser MIMO scheduling; nonnegative monotonic submodular set function; precoded MIMO transmission; precoded multistream transmission; resource allocation; time-frequency resource; Algorithm design and analysis; Approximation algorithms; Approximation methods; MIMO; Resource management; Uplink; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location
Pacific Grove, CA
Print_ISBN
978-1-4799-2388-5
Type
conf
DOI
10.1109/ACSSC.2013.6810624
Filename
6810624
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