Joint design of precoder and receiver in cognitive radio networks using an MSE criterion

  title={Joint design of precoder and receiver in cognitive radio networks using an MSE criterion},
  author={Bangwon Seo},
  journal={Signal Process.},
  • Bangwon Seo
  • Published 1 November 2011
  • Computer Science, Business
  • Signal Process.
Simplified Overlay Architecture for Cognitive Wireless Systems
Analytical and simulations results for the mean-square error under different cross-talk interference levels are presented and it is shown that the receiver-only optimization incurs about 5 dB degradation in the secondary user MSE compared to the optimal system that jointly optimizes transmitter and receiver.
A Novel Low-Complexity Precoding Algorithm for MIMO Cognitive Radio Systems
This paper proposes a novel efficient precoding algorithm to maximize the rate of the cognitive link, where a pair of multiple-input multiple-output cognitive radio users shares the spectrum
A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends
A unified framework is developed for the design of low-complexity transmission schemes applicable to massive MIMO systems in forthcoming 5G wireless networks for the first time and adaptive transmission designs are proposed that switch among these criteria based on channel conditions to formulate the best transmission strategy.
An Overlay Architecture for MISO Cognitive Radio Systems
Joint optimization of the transmitter/receiver pulse shaping filter of an overlay cognitive wireless system that allows both the overlay and the legacy users to share the spectrum at the same time without the need of sensing the spectrum is examined.


Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks
This paper studies single-input multiple output multiple access multiple access channels (SIMO-MAC) for the CR network, and proposed algorithms to derive the optimal power allocation solution and numerical simulations to compare the performances of different power allocation schemes.
Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks
Simulation results show that even under stringent interference-power constraints, substantial capacity gains are achievable for the secondary transmission by employing multi-antennas at the secondary transmitter, even when the number of primary receivers exceeds that of secondary transmit antennas in a CR network.
On joint transmitter and receiver optimization for multiple-input-multiple-output (MIMO) transmission systems
The problem of joint transmitter and receiver optimization for MIMO systems under the mean-squared error (MSE) criterion is revisited and analytical solutions for the optimal transmit-receive pair are obtained.
Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion
We address the problem of designing jointly optimum linear precoder and decoder for a MIMO channel possibly with delay-spread, using a weighted minimum mean-squared error (MMSE) criterion subject to
Entropy-based spectrum sensing in cognitive radio
On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas
Some basic information theory results that promise great advantages of using MEAs in wireless LANs and building to building wireless communication links are presented and standard approaches such as selection and optimum combining are seen to be deficient when compared to what will ultimately be possible.
Redundant filterbank precoders and equalizers. I. Unification and optimal designs
Transmitter redundancy introduced using filterbank precoders generalizes existing modulations including OFDM, DMT, TDMA, and CDMA schemes encountered with single- and multiuser communications and develops jointly optimal transmitter-receiver filterbank designs based on maximum output SNR and minimum mean-square error criteria.
Adaptive Cooperative Spectrum Sharing Based on Fairness and Total Profit in Cognitive Radio Networks
A cooperative model is presented to enable sharing of the spectrum with secondary users and could reach the maximum total profit for secondary users with better fairness than the optimal model and competitive model.
Capacity of Multi-antenna Gaussian Channels
  • E. Telatar
  • Computer Science
    Eur. Trans. Telecommun.
  • 1999
The use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading is investigated, and formulas for the capacities and error exponents are derived.