VLSI Implementation of a Fixed-Complexity Soft-Output MIMO Detector for High-Speed Wireless

This paper presents a low-complexity MIMO symbol detector with close-Maximum a posteriori performance for the emerging multiantenna enhanced high-speed wireless communications. The VLSI implementation is based on a novel MIMO detection algorithm called Modified Fixed-Complexity Soft-Output (MFCSO) detection, which achieves a good trade-off between performance and implementation cost compared to the referenced prior art. By including a microcode-controlled channel preprocessing unit and a pipelined detection unit, it is flexible enough to cover several different standards and transmission schemes. The flexibility allows adaptive detection to minimize power consumption without degradation in throughput. The VLSI implementation of the detector is presented to show that real-time MIMO symbol detection of 20 MHz bandwidth 3GPP LTE and 10 MHz WiMAX downlink physical channel is achievable at reasonable silicon cost

Computationally-Efficient Design of a Dynamic System-Level LTE Simulator

The Long-Term Evolution (LTE) is the next generation of current mobile telecommunication networks. LTE has a new flat radio-network architecture and a significant increase in spectrum efficiency. In this paper, a computationally-efficient tool for dynamic system-level LTE simulations is proposed. A physical layer abstraction is performed to predict link-layer performance with a low computational cost. At link layer, there are two important functions designed to increase the network capacity: Link Adaptation and Dynamic Scheduling. Other Radio Resource Management functionalities such as Admission Control and Mobility Management are performed at network layer. The simulator is conceived for large simulated network time to allow evaluation of optimization algorithms for the main network-level functionalities