EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Fundamentals of wireless communication
Fundamentals of wireless communication
EURASIP Journal on Advances in Signal Processing
Multicell downlink capacity with coordinated processing
EURASIP Journal on Wireless Communications and Networking - Theory and Applications in Multiuser/Multiterminal Communications
A scalable limited feedback design for network MIMO using per-cell product codebook
IEEE Transactions on Wireless Communications
Quantization on the Grassmann Manifold
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
Overcoming interference in spatial multiplexing MIMO cellular networks
IEEE Wireless Communications
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
Channel Feedback Quantization for High Data Rate MIMO Systems
IEEE Transactions on Wireless Communications
Limited feedback unitary precoding for spatial multiplexing systems
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Quantization Bounds on Grassmann Manifolds and Applications to MIMO Communications
IEEE Transactions on Information Theory
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
Limited feedback-based block diagonalization for the MIMO broadcast channel
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A scalable limited feedback design for network MIMO using per-cell product codebook
IEEE Transactions on Wireless Communications
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In network MIMO systems, channel state information is required at the transmitter side to multiplex users in the spatial domain. Since perfect channel knowledge is difficult to obtain in practice, limited feedback is a widely accepted solution. The dynamic number of cooperating BSs and heterogeneous path loss effects of network MIMO systems pose new challenges on limited feedback design. In this paper, we propose a scalable limited feedback design for network MIMO systems with multiple base stations, multiple users and multiple data streams for each user. We propose a limited feedback framework using per-cell product codebooks, along with a low-complexity feedback indices selection algorithm. We show that the proposed per-cell product codebook limited feedback design can asymptotically achieve the same performance as the jointcell codebook approach. We also derive an asymptotic peruser throughput loss due to limited feedback with per-cell product codebooks. Based on that, we show that when the number of per-user feedback-bits Bk is O(NnTnR log2(ρgksum)), the system operates in the noise-limited regime in which the peruser throughput is O (nR log2(nRρgksum/NnT)). On the other hand, when the number of per-user feedback-bits Bk does not scale with the system SNR ρ, the system operates in the interference-limited regime where the per-user throughput is O(nRBk/NnT)2). Numerical results show that the proposed design is very flexible to accommodate dynamic number of cooperating BSs and achieves much better performance compared with other baselines (such as the Givens rotation approach).