How much does transmit correlation affect the sum-rate scaling of MIMO gaussian broadcast channels?
- 18 February 2009
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Communications
- Vol. 57 (2) , 562-572
- https://doi.org/10.1109/tcomm.2009.02.060065
Abstract
This paper considers the effect of spatial correlation between transmit antennas on the sum-rate capacity of the MIMO Gaussian broadcast channel (i.e., downlink of a cellular system). Specifically, for a system with a large number of users n, we analyze the scaling laws of the sum-rate for the dirty paper coding and for different types of beamforming transmission schemes. When the channel is i.i.d., it has been shown that for large n, the sum rate is equal to M log log n + M log P/M + o(1) where M is the number of transmit antennas, P is the average signal to noise ratio, and o(1) refers to terms that go to zero as n rarr infin. When the channel exhibits some spatial correlation with a covariance matrix R (non-singular with tr(R) = M), we prove that the sum rate of dirty paper coding is M log log n + M log P/M + log det(R) + o(1). We further show that the sum-rate of various beamforming schemes achieves M log log n + M log P/M + M log c + o(1) where c les 1 depends on the type of beamforming. We can in fact compute c for random beamforming proposed in and more generally, for random beamforming with preceding in which beams are pre-multiplied by a fixed matrix. Simulation results are presented at the end of the paper.Keywords
This publication has 12 references indexed in Scilit:
- The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast ChannelIEEE Transactions on Information Theory, 2006
- On the optimality of multiantenna broadcast scheduling using zero-forcing beamformingIEEE Journal on Selected Areas in Communications, 2006
- Robust multi-user opportunistic beamforming for sparse networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Dirty-Paper Coding Versus TDMA for MIMO Broadcast ChannelsIEEE Transactions on Information Theory, 2005
- A Vector-Perturbation Technique for Near-Capacity Multiantenna Multiuser Communication— Part II: PerturbationIEEE Transactions on Communications, 2005
- An introduction to the multi-user MIMO downlinkIEEE Communications Magazine, 2004
- On the achievable throughput of a multiantenna Gaussian broadcast channelIEEE Transactions on Information Theory, 2003
- Capacity limits of MIMO channelsIEEE Journal on Selected Areas in Communications, 2003
- Multiple-antennas and isotropically random unitary inputs: the received signal density in closed formIEEE Transactions on Information Theory, 2002
- Opportunistic beamforming using dumb antennasIEEE Transactions on Information Theory, 2002