DocumentCode :
1351214
Title :
Multihop Nonregenerative MIMO Relays— QoS Considerations
Author :
Rong, Yue
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
Volume :
59
Issue :
1
fYear :
2011
Firstpage :
290
Lastpage :
303
Abstract :
For nonregenerative multihop multiple-input multiple-output (MIMO) relay communication systems, the optimal source precoding matrix and the optimal relay amplifying matrices have been recently established for a broad class of objective functions subjecting to the transmission power constraint at each node. However, existing works do not consider any quality-of-service (QoS) constraints, which are important in practical communication systems. In this paper, we derive the optimal source and relay matrices of a multihop MIMO relay system that guarantee the predetermined QoS criteria be attained with the minimal total transmission power. In particular, we consider two types of receivers at the destination node: the linear minimal mean-squared error (MMSE) receiver and the nonlinear decision feedback equalizer (DFE) based on the MMSE criterion. We show that for both types of receivers, the solution to the original optimization problem can be upper-bounded by using a successive geometric programming (GP) approach and lower-bounded by utilizing a dual decomposition technique. Simulation results show that both bounds are tight, and to obtain the same QoS, the MIMO relay system using the nonlinear MMSE-DFE receiver requires substantially less total transmission power than the linear MMSE receiver-based system.
Keywords :
MIMO communication; decision feedback equalisers; least mean squares methods; matrix algebra; precoding; quality of service; radio receivers; source coding; MMSE criterion; QoS considerations; dual decomposition technique; geometric programming approach; linear minimal mean-squared error receiver; multihop nonregenerative MIMO relays; multiple-input multiple-output communication systems; nonlinear decision feedback equalizer; optimal source precoding matrix; quality-of-service constraints; transmission power constraint; MIMO; Nickel; Niobium; Optimization; Quality of service; Receivers; Relays; Linear nonregenerative relay; QoS; majorization; minimal mean-squared error (MMSE); multihop relay; multiple-input multiple-output (MIMO) relay;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2010.2087328
Filename :
5601796
Link To Document :
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