Title :
On MAC-BC Duality of Multihop MIMO Relay Channel With Imperfect Channel Knowledge
Author :
Cirik, Ali Cagatay ; Yue Rong ; Yiming Ma ; Yingbo Hua
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Riverside, Riverside, CA, USA
Abstract :
In this paper, we establish the signal-to-interference-noise-ratio (SINR) duality between multiple access (MAC) and broadcast (BC) multihop amplify-and-forward multiple-input-multiple-output relay systems under an imperfect channel state model, which is a generalization of several previously established MAC-BC duality results. We show that identical SINRs in the MAC and BC systems can be achieved by two approaches. The first one is to use the Hermitian transposed MAC relay amplifying matrices at the relay nodes in the BC system under the same total network transmission power constraint. The second one is to use the scaled and Hermitian transposed MAC relay amplifying matrices in the BC system under the transmission power constraint at each node of the system, where the scaling factors are obtained by swapping the power constraints of the nodes in the MAC system. Moreover, we derive the MAC-BC mean-squared error and achievable sum-rate [or mutual information] duality properties based on the SINR duality. Numerical results show the utility of the duality results established.
Keywords :
MIMO communication; amplify and forward communication; mean square error methods; relay networks (telecommunication); MAC relay amplifying matrices; MAC-BC duality; MAC-BC mean-squared error method; SINR; imperfect channel knowledge; imperfect channel state model; multihop MIMO relay channel; multihop amplify-and-forward multiple-input-multiple-output relay systems; signal-to-interference-noise-ratio; Antennas; Channel estimation; Interference; MIMO; Relays; Signal to noise ratio; Vectors; Amplify-and-forward; duality; multihop MIMO relay;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2014.2322056