Transmitter Receiver

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Lie-liang Yang - One of the best experts on this subject based on the ideXlab platform.

  • Joint Transmitter–Receiver Spatial Modulation
    IEEE Access, 2018
    Co-Authors: Chaowen Liu, Lie-liang Yang, Wenjie Wang, Fasong Wang
    Abstract:

    We propose and investigate a joint Transmitter–Receiver spatial modulation (JSM) scheme, which transmits information by jointly exploiting the indices of transmit antenna patterns, the indices of Receiver antennas, and amplitude–phase modulation. The proposed JSM is capable of simultaneously achieving transmit diversity, receive diversity, and multiplexing gain. In order to facilitate the implementation of the JSM with different reliability-complexity tradeoff, two types of detectors are introduced, which are the maximum-likelihood detection (MLD) and the proposed sub-optimal detection (SOD), including a two-stage SOD and a three-stage SOD. In order to gain insight into the characteristics of the JSM, we analyze the approximate and asymptotic average bit error probability of the JSM systems employing MLD, when regular-scale and large-scale JSM systems are, respectively, considered. Finally, the performance of the JSM systems is investigated with the aid of both simulation and numerical evaluation of our derived formulas. Our studies show that the JSM employs a high flexibility for implementation and online configuration, so as to adapt to the communications environments and to attain the best possible performance.

  • joint Transmitter Receiver frequency domain equalization in generalized multicarrier code division multiplexing systems
    IEEE Transactions on Vehicular Technology, 2010
    Co-Authors: Chenyang Yang, Lie-liang Yang
    Abstract:

    Joint Transmitter-Receiver optimization in generalized multicarrier code-division multiplexing (GMC-CDM) systems is investigated in this paper. The optimization consists of a one-tap post-frequency-domain equalizer (post-FDE) and a one-tap pre-FDE. While the one-tap post-FDE is optimized under the criterion of minimum mean square error (MMSE), the one-tap pre-FDE is achieved through three stages of optimization, which are operated at different levels and motivated to achieve, possibly, different objectives, including maximum throughput and maximum reliability. Specifically, in our three-stage pre-FDE, the first-stage pre-FDE is operated at the symbol level, concerning only the symbols within a group. The second-stage pre-FDE is carried out at the group level for harmonization among the groups. Finally, the third-stage pre-FDE handles group partition. In this paper, the error and throughput performance of the GMC-CDM systems is investigated when assuming communications over frequency-selective Rayleigh fading channels. It can be shown that the reliability or throughput of the GMC-CDM systems can be significantly improved by employment of the proposed pre- and post-FDE schemes. Furthermore, the pre- and post-FDE algorithms obtained can be implemented with high flexibility, which facilitates a GMC-CDM system to achieve a good tradeoff between its throughput and reliability.

  • VTC Fall - Joint Transmitter-Receiver Frequency-Domain Equalization in Multicarrier Code-Division Multiplexing Systems
    2009 IEEE 70th Vehicular Technology Conference Fall, 2009
    Co-Authors: Tingting Liu, Chenyang Yang, Lie-liang Yang
    Abstract:

    This contribution considers the joint Transmitter-Receiver op- timization in generalized multicarrier code-division multiplexing (GMC- CDM) systems. The joint Transmitter-Receiver optimization consists of an one-tap post-frequency-domain equalizer (post-FDE) and an one-tap pre- FDE. The one-tap post-FDE is optimized under the criterion of minimum mean-square error (MMSE), while the one-tap pre-FDE is optimized in order to achieve either the highest possible throughput or best possible error performance. Furthermore, an optimum spreading scheme is pro- posed for the GMC-CDM system, which is capable of achieving certain signal-to-noise ratio (SNR) gain in addition to the promised close-loop diversity gain. In this paper the performance of the GMC-CDM systems is investigated, when communicating over frequency-selective Rayleigh fading channels. It can be shown that our proposed pre-FDE and post-FDE algorithms are highly efficient, which are low-complexity and capable of enhancing significantly the error or throughput performance of the GMC- CDM systems.

  • VTC Spring - Joint Transmitter-Receiver Design in TDD Multiuser MIMO Systems: An Egocentric/Altruistic Optimization Approach
    2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007
    Co-Authors: Lie-liang Yang
    Abstract:

    This contribution considers joint Transmitter-Receiver design in general multiuser multiple-input multiple-output (MIMO) systems, where uplink and downlink use time-division duplex (TDD). We assume that there exist multiuser interference as well as other jamming signals in the system. The optimization strategy considered in this contribution represents one of the applications of the theory proposed in (L.-L. Yang, 2007), where the Transmitters and Receivers are respectively optimized in order to achieve their altruistic (O)-optimum and egocentric (E)-optimum solutions. Furthermore, a novel criterion of minimum power distortionless response (MPDR) is proposed for Transmitter preprocessing. Our design motivates simple mobile terminals (MTs) with low-complexity. Our study and performance results show that the MPDR-assisted Transmitter preprocessing is capable of efficiently suppressing the multiuser interference. However, joint Transmitter-Receiver optimization is required, in order to suppress the extra jamming signals.

Rahul Vaze - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Offline and Competitive Online Strategies for Transmitter–Receiver Energy Harvesting
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter–Receiver energy harvesting model is considered, where both the Transmitter and the Receiver are powered by random (renewable) energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON–OFF profile at the Receiver to minimize the transmission time. With infinite capacity at both the Transmitter and the Receiver, the optimal offline and optimal online policies are derived. The optimal online policy is shown to be two-competitive in the arbitrary input case. With finite battery capacities at both ends, only random energy arrival sequence with given distribution is considered, for which an online policy with bounded expected competitive ratio is proposed.

  • ICC - Optimal offline and competitive online strategies for Transmitter-Receiver energy harvesting
    2015 IEEE International Conference on Communications (ICC), 2015
    Co-Authors: Rushil Nagda, Siddhartha Satpathi, Rahul Vaze
    Abstract:

    Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

  • Transmission strategies for an energy harvesting Transmitter-Receiver pair.
    2014
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

Siddhartha Satpathi - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Offline and Competitive Online Strategies for Transmitter–Receiver Energy Harvesting
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter–Receiver energy harvesting model is considered, where both the Transmitter and the Receiver are powered by random (renewable) energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON–OFF profile at the Receiver to minimize the transmission time. With infinite capacity at both the Transmitter and the Receiver, the optimal offline and optimal online policies are derived. The optimal online policy is shown to be two-competitive in the arbitrary input case. With finite battery capacities at both ends, only random energy arrival sequence with given distribution is considered, for which an online policy with bounded expected competitive ratio is proposed.

  • ICC - Optimal offline and competitive online strategies for Transmitter-Receiver energy harvesting
    2015 IEEE International Conference on Communications (ICC), 2015
    Co-Authors: Rushil Nagda, Siddhartha Satpathi, Rahul Vaze
    Abstract:

    Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

  • Transmission strategies for an energy harvesting Transmitter-Receiver pair.
    2014
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

Rushil Nagda - One of the best experts on this subject based on the ideXlab platform.

  • Optimal Offline and Competitive Online Strategies for Transmitter–Receiver Energy Harvesting
    IEEE Transactions on Information Theory, 2016
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter–Receiver energy harvesting model is considered, where both the Transmitter and the Receiver are powered by random (renewable) energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON–OFF profile at the Receiver to minimize the transmission time. With infinite capacity at both the Transmitter and the Receiver, the optimal offline and optimal online policies are derived. The optimal online policy is shown to be two-competitive in the arbitrary input case. With finite battery capacities at both ends, only random energy arrival sequence with given distribution is considered, for which an online policy with bounded expected competitive ratio is proposed.

  • ICC - Optimal offline and competitive online strategies for Transmitter-Receiver energy harvesting
    2015 IEEE International Conference on Communications (ICC), 2015
    Co-Authors: Rushil Nagda, Siddhartha Satpathi, Rahul Vaze
    Abstract:

    Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

  • Transmission strategies for an energy harvesting Transmitter-Receiver pair.
    2014
    Co-Authors: Siddhartha Satpathi, Rushil Nagda, Rahul Vaze
    Abstract:

    A joint Transmitter-Receiver energy harvesting model is assumed, where both the Transmitter and Receiver are powered by random energy source. Given a fixed number of bits, the problem is to find the optimal transmission power profile at the Transmitter and ON-OFF profile at the Receiver to minimize the transmission time. Structure of the optimal offline strategy is derived together with an optimal offline policy. An online policy with competitive ratio of strictly less than two is also derived.

Geert Leus - One of the best experts on this subject based on the ideXlab platform.

  • VTC Fall - Joint Transmitter-Receiver UWB Rake Design in the Presence of ISI
    2009 IEEE 70th Vehicular Technology Conference Fall, 2009
    Co-Authors: Nazli Guney, Hakan Delic, Geert Leus
    Abstract:

    In this paper, the performance of a time-division duplex ultra-wideband system that has a Transmitter/Receiver pair of rake combining structures is optimized, where the total number of rake fingers to be deployed at the Transmitter and the Receiver is fixed. It is shown that there exists an optimum distribution of fingers between the two structures for systems with intersymbol interference, which maximizes the signal-to- interference plus noise ratio. Depending on the total number of rake fingers and/or post-rake fingers, i.e., those at the Receiver, the optimum placement of post-rake fingers changes as the simulation results demonstrate. Index Terms—pre-rake, rake, ultra-wideband (UWB), inter- symbol interference

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