DocumentCode
2382550
Title
On linear precoding of non-regenerative MIMO relays for QAM inputs
Author
Xiao Liang ; Zhi Ding ; Chengshan Xiao
Author_Institution
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
fYear
2012
fDate
10-15 June 2012
Firstpage
2439
Lastpage
2444
Abstract
Recent works have established that MIMO systems optimized for Gaussian source signals may suffer unexpected performance loss when practical inputs are in fact discrete QAM sources. There is a practical need in the optimization of MIMO related systems of various networking scenarios to specifically target source signals of finite QAM alphabet. In this work, we investigate the precoding optimization of wireless two-hop non-regenerative three-node MIMO relay networks driven by finite-alphabet inputs. Exploiting a known optimal structure for the precoder at relay and a special convexity property, we propose an iterative two-step numerical optimization algorithm. This algorithm is a general solution, not only for arbitrary source signals but also for cooperative networks with or without direct link. Simulation results demonstrate substantial performance improvement by the new precoder over precoders optimized under the Gaussian input assumption.
Keywords
Gaussian processes; MIMO communication; iterative methods; precoding; quadrature amplitude modulation; Gaussian input assumption; Gaussian source signals; MIMO systems; arbitrary source signals; cooperative networks; finite QAM alphabet; finite-alphabet inputs; iterative two-step numerical optimization algorithm; linear precoding; non-regenerative MIMO relays; precoding optimization; wireless two-hop non-regenerative three-node MIMO relay networks; MIMO; Mutual information; Optimization; Relays; Resource management; Signal to noise ratio; Vectors; Amplify-and-forward; convex optimization; minimum mean-square error; mutual information;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6364642
Filename
6364642
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