Now showing items 1-9 of 9
Relay Selection for Geographical Forwarding in Sleep-Wake Cycling Wireless Sensor Networks
Advances in wireless communication and microelectronics have led to the development of low-power compact sensor nodes (popularly called motes) that are capable of sensing, computing, and communication. A large number of ...
Algorithms For Spatial Modulation Systems
It is well known that multiple antennas at the transmitter and receiver are imperative for reliable and high data-rate communication over wireless channels. However, these systems essentially need multiple radio frequency ...
Fundamentals Limits Of Communication In Interference Limited Environments
In multiuser wireless communications, interference not only limits the performance of the system, but also allows users to eavesdrop on other users’ messages. Hence, interference management in multiuser wireless communication ...
Low Power And Low Spur Frequency Synthesizer Circuit Techniques For Energy Efficient Wireless Transmitters
There has been a huge rise in interest in the design of energy efficient wireless sensor networks (WSN) and body area networks (BAN) with the advent of many new applications over the last few decades. The number of sensor ...
Optimal Amplify-And-Forward Relaying For Cooperative Communications And Underlay Cognitive Radio
Relay-assisted cooperative communication exploits spatial diversity to combat wireless fading, and is an appealing technology for next generation wireless systems. Several relay cooperation protocols have been proposed in ...
Coding For Wireless Relay Networks And Mutiple Access Channels
This thesis addresses the design of low-complexity coding schemes for wireless relay networks and multiple access channels. The first part of the thesis is on wireless relay networks and the second part is on multiple ...
Construction Of High-Rate, Reliable Space-Time Codes
Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems
Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian ...