Mobile Multimedia Communication Systems Research Articles

Emergence of energy optimization in MIMO-OFDM communication system with hybrid teamwork-grasshopper optimization

Abstract In the application of mobile multimedia and wireless communication system needs an enormous amount of data. Due to the usage of a huge data rate, a superior amount of energy is offered to BER, which effectively enhances the entire energy consumption rate in the system, and also, the generation of CO2 emission leads to global warming. Hence, professionals searched for energy-efficient approaches for attaining enhanced data rates in wireless communication systems. Then, professionals observed the energy efficacy as well as QoS as an essential factor in developing and validating the mobile multimedia communication system that has created superior interest in recent days. In this paper, energy-efficient models are suggested for MIMO-OFDM mobile multimedia communication systems with statistical QoS constraints. Hence, this research suggests a new MTGSO for energy optimization in the MIMO-OFDM mobile multimedia communication system to improve spectral efficiency and system capacity. Thus, the empirical result of the designed method attains better performance regarding average power constraints, achieving 29.8 %, 21.3 %, 123.8 %, and 4.2 % enhanced than SSO, FOA, GSO, and TOA. This energy-efficient hybrid algorithm for MIMO-OFDM proves its efficiency in terms of various performance measures and statistical measures.

An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique

AbstractThis paper is to plan for the development of energy‐efficient MIMO‐OFDM mobile multimedia communication systems using the intelligent meta‐heuristic approach. This model is concentrated on solving the multi‐channel optimization problem. Recent research work is focused on single‐channel optimization problems, and hence the conversion of multi‐channel optimization problems into single‐channel optimization problems is considered the challenging point in this research. In the proposed MIMO‐OFDM method for mobile multimedia communication systems, the channel‐matrix Singular Value Decomposition (SVD) method is used for implementing the sub‐channel grouping scheme, which has simplified the multichannel problem to a multi‐target single‐channel optimization problem. In this optimization problem, the transmission power‐allocation threshold is optimized for attaining the objective function of maximization of energy efficiency. A hybridized optimization algorithm named Hybrid Fruit Fly‐based Salp Swarm Optimization (HFF‐SSO) is utilized for energy optimization in the MIMO‐OFDM mobile multimedia communication system. This hybrid algorithm has reached an energy‐efficient system with a high convergence rate, which is proved by the comparison over the conventional systems.

An Energy Efficient OFDM–MIMO Systems for Multimedia Data Transmission Based on Hybrid Fuzzy Approach

In a 4G cellular communication system, energy efficiency and power consumption are the key parameters in evaluating and designing communication system in multimedia. In this paper, an efficient model with high energy is proposed for multiple input multiple output orthogonal frequency division multiplexing (MIMO–OFDM) mobile multimedia systems with less power consumption. Providing high-speed video coding technique, which is designed to substantially improve coding efficiency compared with other coding techniques. Next to that erasures coding and Wyner–Ziv coding is used for encoding and compression process. Finally, efficient energy based optimized power allocation with hybrid Fuzzy Grey Wolf Optimization (GWO) algorithm is presented to reduce the power consumption of MIMO–OFDM mobile multimedia communication systems. The value of power which is consumed at the 30th iteration is 20 W and the energy efficiency is 92% for the 20 W power. Experimental results show that the proposed hybrid Fuzzy GWO algorithm can assure the required service with maximum efficiency in MIMO–OFDM.

Dynamic Channel Allocation in Mobile Multimedia Networks Using Error Back Propagation and Hopfield Neural Network (EBP-HOP)

In mobile multimedia communication systems, the limited bandwidth is an issue of serious concern. However for the better utilization of available resources in a network, channel allocation scheme plays a very important role to manage the available resources in each cell. Hence this issue should be managed to reduce the call blocking or dropping probabilities. This paper gives the new dynamic channel allocation scheme which is based on handoff calls and traffic mobility using hopfield neural network. It will improve the capacity of existing system. Hopfield method develops the new energy function that allocates channel not only for new call but also for handoff calls on the basis of traffic mobility information. Moreover, we have also examined the performance of traffic mobility with the help of error back propagation neural network model to enhance the overall Quality of Services (QoS) in terms of continuous service availability and intercell handoff calls. Our scheme decreases the call handoff dropping and blocking probability up to a better extent as compared to the other existing systems of static and dynamic channel allocation schemes.

Energy-Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems With QoS Constraints

It is widely recognized that, in addition to the quality-of-service (QoS), energy efficiency is also a key parameter in designing and evaluating mobile multimedia communication systems, which has catalyzed great interest in recent literature. In this paper, an energy-efficiency model is first proposed for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) mobile multimedia communication systems with statistical QoS constraints. Employing the channel-matrix singular value decomposition (SVD) method, all subchannels are classified by their channel characteristics. Furthermore, the multichannel joint optimization problem in conventional MIMO-OFDM communication systems is transformed into a multitarget single-channel optimization problem by grouping all subchannels. Therefore, a closed-form solution of the energy-efficiency optimization is derived for MIMO-OFDM mobile multimedia communication systems. As a consequence, an energy-efficiency optimized power allocation (EEOPA) algorithm is proposed to improve the energy efficiency of MIMO-OFDM mobile multimedia communication systems. Simulation comparisons validate that the proposed EEOPA algorithm can guarantee the required QoS with high energy efficiency in MIMO-OFDM mobile multimedia communication systems.

鉄道車両に搭載された衛星追尾アンテナのプログラム追尾の実現性に関する検討

We have proposed mobile multimedia satellite communication system designed to realize high-speed multimedia communications. This system uses a mobile network for the return link and the developed satellite-tracking antenna that receives high-speed satellite signals for the forward link. The satellite-tracking antenna, which consists of four planar antennas, measures the pointing error by the phase monopulse and has achieved the satellite-tracking control by the co-phasing combining and the mechanical drive. When the satellite-tracking antenna is applied to the car and the ship, it is necessary to decide the tracking drive angle constantly. When it is applied to the train, the satellite-tracking can be expected to be achieved by specifying the tracking drive angle in accordance with the distance because the train runs in the same route. This tracking method is called a program tracking in this paper. This paper describes the tracking drive angle and the error factor of the program tracking quantitatively. We concluded that it was possible to apply the program tracking to the train if operating rate of the system was 70% or less.

Considerations for a new generation of mobile multimedia communication systems

The simultaneous evolution of mobile communications and multimedia applications points toward a future where both technologies play a significant role in shaping mobile multimedia communication. However, the destiny of mobile communications and, to a great extent, of sophisticated mobile multimedia, heavily depends on the success of the emerging third generation of mobile communication systems.

Code-division multiple access for provision of mobile multimedia services with a geostationary regenerative payload

The design of a satellite mobile multimedia communication system operating at Ka band and using synchronous CDMA is presented. The air interface described in the paper was derived taking into account the requirements induced by the provision of multimedia services to compact portable and mobile terminals. In order to minimize the complexity of the satellite payload, the concept of partial frequency reuse is introduced. A novel algorithm based on evolutionary theory is derived in order to optimize the corresponding link dimensioning. The satellite payload is described, and techniques reducing the computational requirements are proposed. It is then shown that the on-board complexity associated with the given design is within acceptable technological limits.