MU-MIMO (Multi-User MIMO) has been a promising technique for vehicular networks to achieve faster communication. Conventional MU-MIMO transceiver is designed with One-dimensional (1-D) improper modulation schemes such as Binary Phase Shift Keying (BPSK) and Multilevel Amplitude Shift Keying (M-ASK) failed to yield standard ABER (average bit error rate). To achieve high reliability, a novel MU-MIMO uplink transceiver system is designed under PAPC (Per-Antenna Power Constraint) by assuming perfect and imperfect channel state information (CSI). MIMO communication channels are perceptible.Hence, security of the proposed system is improved by novel pseudorandom key generation technique using randomized synthetic colour image. Analytical design for proposed systems is carried and simulated for various p-norm constraints. Simulation results show higher reliability and security than the existing system. It also satisfies the linearity constraint of a power amplifier, which makes the system more suitable for practical applications.

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Home automation is a popular field of application which combines the concepts of embedded systems and pervasive computing to control a living space for modern times. A smart home system aims to free up the user to carry out his or her daily tasks without worrying on the trivial aspects of personal home management, while at the same time providing the user with more control of the home than ever before. The implementation comprises of a large number of sensors which can be used to control or monitor objects distributed in three-dimensional space around the house. The sensors can be specialized in measuring temperature, humidity, pressure, light, noise, dust air, and upon intelligently computed triggers, compel the system to perform a specific task, or a set of tasks. In this project, a solution to transform a normal house into a smart, autonomous house in order to reduce the energy consumption of the household is proposed. This can be realized with the help of wired sensor networks where we control and interface with electronic appliances via a Raspberry Pi, an embedded development platform. The embedded platform can be controlled remotely to turn switches on and off, and eventually aims to become as autonomous as possible via the help of a Bayesian Network. The base workings of the project are aimed at being as scalable as possible, to be able to potentially fit into industrial as well as office environments in the future.