QOS OPTIMIZATION FOR MIMO-OFDM MOBILE MULTIMEDIA COMMUNICATION SYSTEMS

The mobile multimedia communication system is rapid development in the recent years. The main parameter is energy efficiency optimization and quality of service constraint for Multiple Input and Multiple Output(MIMO-OFDM)communication. The various algorithm to be minimize the energy level for the transmitted signal. But it have some limitation. So Energy efficiency optimized power allocation (EEOPA) algorithm is proposed to improve the energy efficiency for MIMO-OFDM mobile multimedia communication system. The EEOPA algorithm used to solve the problem of multi-channel optimize to multi target in single channel optimization. The method to calculate the channel characteristics using singular variable decomposition method (SVD).An energy-efficiency model is first proposed for MIMO-OFDM communication systems with statistical QoS constraints. (SVD) method is used, to view their channel characteristics. Furthermore, the optimization problem is in solved by grouping all sub channels. Therefore, a solution is derived for MIMO-OFDM systems. By applying the FAST algorithm we can increase the efficient capacity over the average power constrain by which we get better optimization than EEOPA algorithm. FAST algorithm leads to improve the data transmission speed and gives better accuracy in data receiving

IMPLEMENTATION ENERGY EFFICIENCY FOR MIMO- OFDM USING FAST APPROACH IN MULTIMEDIA COMMUNICATION SYSTEMS

The mobile multimedia communication system is rapid development in the recent years. The main parameter is energy efficiency optimization and quality of service constraint for Multiple Input and Multiple Output(MIMO-OFDM)communication. The various algorithm to be minimize the energy level for the transmitted signal. But it have some limitation. So Energy efficiency optimized power allocation (EEOPA) algorithm is proposed to improve the energy efficiency for MIMO-OFDM mobile multimedia communication system. The EEOPA algorithm used to solve the problem of multi-channel optimize to multi target in single channel optimization. The method to calculate the channel characteristics using singular variable decomposition method (SVD).An energy-efficiency model is first proposed for MIMO-OFDM communication systems with statistical QoS constraints. (SVD) method is used, to view their channel characteristics. Furthermore, the optimization problem is in solved by grouping all sub channels. Therefore, a solution is derived for MIMO-OFDM systems. By applying the FAST algorithm we can increase the efficient capacity over the average power constrain by which we get better optimization than EEOPA algorithm. FAST algorithm leads to improve the data transmission speed and gives better accuracy in data receiving

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

Multicasting is emerging as an enabling technology for multimedia transmissions over wireless networks to support several groups of users with flexible quality of service (QoS)requirements. Although multicast has huge potential to push the limits of next generation communication systems; it is however one of the most challenging issues currently being addressed. In this survey, we explain multicast group formation and various forms of group rate determination approaches. We also provide a systematic review of recent channel-aware multicast scheduling and resource allocation (MSRA) techniques proposed for downlink multicast services in OFDMA based systems. We study these enabling algorithms, evaluate their core characteristics, limitations and classify them using multidimensional matrix. We cohesively review the algorithms in terms of their throughput maximization, fairness considerations, performance complexities, multi-antenna support, optimality and simplifying assumptions. We discuss existing standards employing multicasting and further highlight some potential research opportunities in multicast systems

Cognitive Radio Systems

Cognitive radio is a hot research area for future wireless communications in the recent years. In order to increase the spectrum utilization, cognitive radio makes it possible for unlicensed users to access the spectrum unoccupied by licensed users. Cognitive radio let the equipments more intelligent to communicate with each other in a spectrum-aware manner and provide a new approach for the co-existence of multiple wireless systems. The goal of this book is to provide highlights of the current research topics in the field of cognitive radio systems. The book consists of 17 chapters, addressing various problems in cognitive radio systems