In this chapter here we discuss the existing literature review related to unequal power allocation for MIMO technology. Secured transmission of images and/or videos over wireless networks, such as IP or cellular networks is the most active field of research in the last few decades. Further, most of these networks demand minimum transmission power for this multimedia transmission. In this area, work has been focused on various power minimization methods subjected to a given level of quality of service. Lately here has been an increased interest in energy efficient wireless communications. Greatly of this work is fueled by the limited battery supply in mobile devices. Into arrange to extend battery life, significant efforts have been prepared toward reducing the processing power required by the codes, decreasing transmission power, and increasing the efficiency of the power amplifier in mobile devices.
2.2 Literature Survey
2.2.1 Lyapunov Exponents
In mathematics the Lyapunov exponent or Lyapunov characteristic exponent of a dynamical scheme is an amount that characterizes the rate of partition of infinitesimally close trajectories. Quantitatively, two trajectories in phase space with initial separation δZ0 diverge (provided that the divergence can be treated within the linear zed approximation) at a rate given by |δZ(t)|≈e^λt| 〖δZ〗_0|. Where λ the Lyapunov exponent. The rate of partition is can be different for different orientations of initial separation vector. Thus, there is a spectrum of Lyapunov exponents— equal in number to the dimensionality of the phase space. It is common to refer to the largest one as the Maximal Lyapunov exponent (MLE), because it determines a notion of predictability for a dynamical scheme. A positive MLE is usually taken as an indication that the system is chaotic (provided some other conditions are met, e.g., phase space compactness). An arbitrary initial partition vector will typically contain some component in the direction associated with the MLE, and because of the exponential growth rate, the effect of the other exponents will be obliterated over time. The supporter is named after Aleksandra Lyapunov.
Chande and Farvardin
In this paper an embed source code allow the decoder to rebuild the source gradually as of the prefixes of a single bit stream. It is useful to design joint source-channel coding scheme which retain the capability of progressive rebuilding in the presence of channel noise or packet loss. Here, they address the problem to joint source-channel code of images for progressive transmission over memory less bit error or packet erasure channels. They developed a support for encoding based on embeds source codes and embed error correcting and error detects channel codes. For a object transmission rate, solution are provide and an algorithm for the propose of optimal unequal error/erasure protection. Three presentation events are considered: the usual distortion, the usual peak signal-to-noise ratio, and the average of use source coding rate. Under the statement of rate compatibility of the underlying channel codes, they provide necessary conditions for progressive transmission of joint source-channel codes. They also illustrate that the unequal error/erasure safety policy so as to make the most of the usual useful source coding rate allow progressive transmission by optimal unequal protection at a quantity of intermediary rates. [7]
• Y Eisenberg
In article they consider a condition wherever a video sequence is to be compressed and transmitted more than a wireless channel. Our objective is to maximum value the quantity of distortion in the received video sequence, while minimize transmission energy. To achieve this goal, they think error resilience and concealment techniques at the source coding level, and transmission power management by the physical layer. They equally consider these approaches in a novel framework. This setting, they create and resolve an optimization difficulty that corresponds to minimize the energy required to transmit video under distortion and delay constraints. Experimental outcome explain that separately adjusting the source coding and transmission power is more energy efficient than consider these factors individually. [9]
• Kozintsev and K Ramchandran
They discover joint source-channel coding (JSCC) for time-varying channels make use of a multi-resolution structure for both source coding and transmission by novel multi-resolution modulation constellation. They believe the difficulty of motionless image transmission over time-varying channels by the channel state information (CSI) available at (1) receiver only and (2) both transmitter and receiver individual knowledgeable with reference to the condition of the channel, and they count the effect of CSI availability on the presentation. Our resource representation is based on the wavelet image breakdown, which generate a collection of sub-bands model by the relations of general Gaussian distributions. They explain an algorithm to together optimizes the aim of the multi-resolution source codebook, the multi-resolution collection, and the decoding plan of optimally similar the source resolution and signal constellation resolution “trees” in agreement with the time-varying channel and prove how this lead to better presentation greater than obtainable methods. The real-time process needs just table lookups. There results base on a wavelet image representation confirm that our multi-resolution base optimized method attain gain on the order of 2 dB in the reconstruct image quality more than single-resolution method use channel optimized source coding. [11]
• Q Zhang Z ji W Zhu and Y Q Zhang
Video communication more than wireless links use handheld devices is a demanding task due to the time-varying character of the wireless channels and restricted battery resources. Rate-distortion (RD) analysis acting a key position in video coding and communication method, and typically the RD relation does not assume any power constraint. They consider the relations of rate, distortion and power use. Based on those relations, they plan a power-minimized bit-allocation system considering the processing power, for source coding and channel coding, jointly with the transmission power. The total bits are owed between source and channel coders, according to wireless channel conditions and video quality requirements, to minimize the total power use for a single user and a group of users in a cell, in that order. There results show that our plan joint power-control and bit-allocation system achieve high power savings compare to the conservative system. [12]
• Berry, R. Pappas, T.N.
Rapid growth in wireless networks is fueling insists for video services as of mobile users. though the problem of transmitting video more than unpredictable channels has received a few awareness, the wireless network environment pose challenge such as transmission power managing that contain received little attention previously in connection with video. Transmission power managing affects battery being in mobile devices, interference to other user, and network capability. They think about energy efficient transmission of a video sequence below delay and feature constraints. The collection of source coding parameters is considered equally with transmitter power and rate adaptation, and packet transmission preparation. The objective is to transmit a video frame use the minimal necessary transmission energy below delay and quality constraint. These results are obtainable that show the advantages of the planned approach. [18]
• Sherwood, P.G., K. Zeger
One method of transmitting wavelet base zero-tree encoded images more than noisy channels is to put in channel coding without changing the source code. A second method is to reorder the entrenched zero tree bit stream into packet contain a small set of wavelet coefficient trees. They think a hybrid mixture of these two approach and show situation in which the hybrid image coder can better either of the two building block method, namely on channels that can undergo packet losses as well as statistically unreliable bit errors.[4]
• Sabir, M.F.
In this paper they require for efficient joint source-channel coding (JSCC) is on the increase as new multimedia services are introduce in commercial wireless communication systems. A significant part of useful JSCC scheme is a distortion replica that can predict the quality of compressed digital multimedia such as images and videos. The normal advance in the JSCC literature for quantify the distortion unpaid to quantization and channel errors is to estimation it in support of each image use the information of the image for a given signal-to-noise ratio (SNR). This is not an efficient advance in the design of real-time system because of the computational difficulty. A more helpful and practical advance would be to design JSCC techniques that minimize average alteration for a large set of images base on some distortion model relatively than moving absent per-image optimizations. Though, model for estimate average alteration due to quantization and channel bit errors in a combine approach for a large set of images are not available for useful image or video coding standards employ entropy coding and disparity coding. There are obtainable an arithmetical model for estimate the alteration introduce in progressive JPEG compressed images due to quantization and channel bit errors in a common manner. Arithmetical modeling of main compression techniques such as Huffman coding, disparity pulse-coding modulation, and run-length coding are built-in in the model. Examples show that the alteration in terms of peak signal-to-noise ratio (PSNR) can be predict within a 2-dB maximum error more than a diversity of compression ratios and bit-error rates. on the way to demonstrate the utility of the plan model, there nearby an unequal power allocation system as a simple request of our model. There result give you an idea about that it gives a PSNR gain of around 6.5 dB at low SNRs, as compare to