86 research outputs found

    Towards Terabit Carrier Ethernet and Energy Efficient Optical Transport Networks

    Get PDF

    A 2.78 mm2 65 nm CMOS Gigabit MIMO Iterative Detection and Decoding Receiver

    Get PDF
    Iterative detection and decoding (IDD), combined with spatial-multiplexing multiple-input multiple-output (MIMO) transmission, is a key technique to improve spectral efficiency in wireless communications. In this paper we present the—to the best of our knowledge—first complete silicon implementation of a MIMO IDD receiver. MIMO detection is performed by a multi-core sphere decoder supporting up to 4×4 as antenna configuration and 64-QAM modulation. A flexible low-density parity check decoder is used for forward error correction. The 65 nm CMOS ASIC has a core area of 2.78 mm2 . Its maximum throughput exceeds 1 Gbit/s, at less than 1 nJ/bit. The MIMO IDD ASIC enables more than 2 dB performance gains with respect to non-iterative receivers

    Cooperative Communication with Systematic Raptor Codes in 3GPP

    Get PDF
    In this thesis, considering a one-relay cooperative system, we propose a new cooperative transmission scheme which implements the systematic Raptor code standardized in 3GPP. Within the framework of this scheme, we compare the bandwidth efficiency perfomance of different relaying protocols. To improve the performance of this cooperative system, we use Reed-Solomon(RS) code as inner code which is concatenated with the systematic Raptor code. We first study the scenario when Channel State Information(CSI) is available at the receiver but not available at the transmitter. In this case, only fixed-rate RS code can be implemented. Then we study the scenario when CSI is available at both the transmitter and receiver, and develop an adaptive scheme applied to our model. Last, a straight forward channel estimation method is studied to make the estimation of CSI available at the transmitter. The performance of all the proposed models and protocols are obtained with Monte Carlo simulation
    corecore