Multi-Antenna System Design with Bright Transmitters and Blind Receivers
Liangbin Li, Hamid Jafarkhani

TL;DR
This paper introduces a novel downlink interference cancellation scheme for MIMO systems with perfect CSIT but no CSIR, leveraging duality principles to achieve high diversity gains and outperform existing methods like block diagonalization.
Contribution
It proposes a duality-based zero-forcing design for MIMO broadcast channels that enables simple linear decoding at receivers without CSIR, improving diversity and error performance.
Findings
Achieves diversity gain of 2(N-1) for N antennas at the transmitter.
Outperforms block diagonalization in bit error rate simulations.
Power allocation enhances array gain without affecting diversity.
Abstract
This paper considers a scenario for multi-input multi-output (MIMO) communication systems when perfect channel state information at the transmitter (CSIT) is given while the equivalent channel state information at the receiver (CSIR) is not available. Such an assumption is valid for the downlink multi-user MIMO systems with linear precoders that depend on channels to all receivers. We propose a concept called dual systems with zero-forcing designs based on the duality principle, originally proposed to relate Gaussian multi-access channels (MACs) and Gaussian broadcast channels (BCs). For the two-user N*2 MIMO BC with N antennas at the transmitter and two antennas at each of the receivers, we design a downlink interference cancellation (IC) transmission scheme using the dual of uplink MAC systems employing IC methods. The transmitter simultaneously sends two precoded Alamouti codes, one…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Cooperative Communication and Network Coding
