Cross-layer Design for MIMO Systems with Transmit Antenna Selection and Imperfect CSI
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Abstract
In this paper, by combining adaptive modulation and automatic repeat request (ARQ), a cross-layer design (CLD) scheme for multiple-input and multiple-output (MIMO) system with transmit antenna selection (TAS) and imperfect channel state information (CSI) is presented. Based on the imperfect CSI, the probability density function of the effective signal to noise ratio (SNR) is derived, and the fading gain switching thresholds are also derived subject to a target packet loss rate and fixed power constraint. According to these results, we further derive the average spectrum efficiency (SE) and packet error rate (PER) of the system. As a result, closed-form expressions of the average SE and PER are obtained, respectively. The derived expressions include the expressions under perfect CSI as special cases, and can provide good performance evaluation for the CLD system with imperfect CSI. Simulation results verify the validity of the theoretical analysis. The results show that the CLD system with TAS provides better SE than that with space-time block coding, but the SE and PER performance of the system with imperfect CSI are worse than those with perfect CSI due to the estimation error.
©[2013] by Walter de Gruyter Berlin Boston
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Articles in the same Issue
- Masthead
- Cross-polarization Suppression in Monolayer Reflectarray Antennas
- Analysis of Probes in a Rectangular Waveguide
- FDTD Analysis of Chiral Metamaterials Slab by using the Auxiliary Differential Equation Algorithm
- Design of Cathode Heater Assembly for High Power Gyrotron
- Cross-layer Design for MIMO Systems with Transmit Antenna Selection and Imperfect CSI
- Frequency-selective Fading Simulator for Real-time Laboratory Measurements
- Outage Capacity of Spectrum Sharing Cognitive Radio with Channel Estimation Errors and Feedback Delay in Rayleigh Fading Environments
- Average Secrecy Rate Analysis using Decode-and-Forward Strategy in Cooperative Networks
- Auction-based Security Game for Multiuser Cooperative Networks
