DocumentCode :
3105949
Title :
Successive convex approximation for system performance optimization in a multiuser network with multiple mimo relays
Author :
Chalise, Batu K. ; Zhang, Yimin D. ; Amin, Moeness G.
Author_Institution :
Center for Adv. Commun., Villanova Univ., Villanova, PA, USA
fYear :
2011
fDate :
13-16 Dec. 2011
Firstpage :
229
Lastpage :
232
Abstract :
We consider the problem of jointly optimizing amplify-and-forward (AF) multiple-input multiple-output (MIMO) relays and single-antenna receivers for multipoint-to-multipoint (MP2MP) communications using weighted summean-square-error (MSE) as a system performance measure. This optimization problem is nonconvex and the optimal solution cannot be obtained in polynomial time. By applying first-order approximation for the quadratic term, we show that this problem can be approximately reformulated as a semidefinite programming (SDP) problem, which is then solved successively in an iterative way. The performance of the proposed scheme is compared with the lower bound (LB) of the global optimal solution that is obtained with increased complexity using the MSE-profile approach, and the bisection and semidefinite relaxation (SDR) techniques. Numerical results show that the performance of the proposed successive convex approximation (SCA) approach is very close to the LB of the global optimal solution and is much better than the zero-forcing MIMO relays.
Keywords :
MIMO communication; amplify and forward communication; antenna arrays; approximation theory; convex programming; mathematical programming; mean square error methods; receiving antennas; LB; MP2MP communications; MSE-profile approach; SCA approach; SDP problem; SDR techniques; amplify-and-forward multiple-input multiple-output relays; global optimal solution; lower bound; multiple MIMO relays; multipoint-to-multipoint communications; multiuser network; polynomial time; semidefinite programming problem; semidefinite relaxation techniques; single-antenna receivers; successive convex approximation; system performance optimization; weighted sum MSE; weighted sum mean-square-error; Approximation methods; MIMO; Optimization; Quality of service; Receivers; Relays; Vectors; MIMO relays; semidefinite relaxation; successive convex optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on
Conference_Location :
San Juan
Print_ISBN :
978-1-4577-2104-5
Type :
conf
DOI :
10.1109/CAMSAP.2011.6135990
Filename :
6135990
Link To Document :
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