Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Wireless communications systems and networks
Wireless communications systems and networks
Optimum Resource Allocation for Amplify-and-Forward Relay Networks With Differential Modulation
IEEE Transactions on Signal Processing
Space-time decoding with imperfect channel estimation
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Channel Estimation for Amplify and Forward Relay Based Cooperation Diversity Systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
PHY-layer Fairness in Amplify and Forward Cooperative Diversity Systems
IEEE Transactions on Wireless Communications
Distributed Transmit Antenna Selection (DTAS) Under Performance or Energy Consumption Constraints
IEEE Transactions on Wireless Communications
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Achievable Rates and Scaling Laws of Power-Constrained Wireless Sensory Relay Networks
IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
Hi-index | 0.01 |
Cooperative communication techniques promise the advantages of multi-input multi-output (MIMO) communications for wireless scenarios with single-antenna terminals. A main assumption in majority of the research work on cooperative communications is the availability of channel state information at the receiver. In practice, knowledge of the channel is obtained by sending known training (pilot) symbols to the receiver. In this paper, we study the effect of training on the performance of an amplify-and-forward cooperative relaying system with pilot-assisted channel estimator over quasi-static Rayleigh fading channels. We consider average received signal-to-noise ratio at the destination node as the objective function and formulate optimization problems for a single-relay scenario under total network power (TNP) and individual node power (INP) constraints. We aim to answer the following fundamental questions: Q1) How should overall transmit power be shared between training and data transmission periods?; Q2) How should training power be allocated to broadcasting and relaying phases?; Q3) How should data power be allocated to broadcasting and relaying phases? Our simulation results demonstrate that optimized schemes significantly outperform the original schemes with equal power allocation. Depending on the relay location, performance gains up to 5.5 dB and 2.8 dB are observed, respectively, under TNP and INP constraints.