Incorporating Wireless Communication Parameters Into the E-Model Algorithm

      

ABSTARCT :

Telecommunication service providers have to guarantee acceptable speech quality during a phone call to avoid a negative impact on the users' quality of experience. Currently, there are different speech quality assessment methods. ITU-T Recommendation G.107 describes the E-model algorithm, which is a computational model developed for network planning purposes focused on narrowband (NB) networks. Later, ITU-T Recommendations G.107.1 and G.107.2 were developed for wideband (WB) and fullband (FB) networks. These algorithms use different impairment factors, each one related to different speech communication steps. However, the NB, WB, and FB E-model algorithms do not consider wireless techniques used in these networks, such as Multiple-Input-Multiple-Output (MIMO) systems, which are used to improve the communication system robustness in the presence of different types of wireless channel degradation. In this context, the main objective of this study is to propose a general methodology to incorporate wireless network parameters into the NB and WB E-model algorithms. To accomplish this goal, MIMO and wireless channel parameters are incorporated into the E-model algorithms, specifically into the $I_{e,eff}$ and $I_{e,eff,WB}$ impairment factors. For performance validation, subjective tests were carried out, and the proposed methodology reached a Pearson correlation coefficient (PCC) and a root mean square error (RMSE) of 0.9732 and 0.2351, respectively. It is noteworthy that our proposed methodology does not affect the rest of the E-model input parameters, and it intends to be useful for wireless network planning in speech communication services.

EXISTING SYSTEM :

? The coverage was city wide, and coverage did not exist outside of the cities, there was no need for handoff. ? When objects exist in free space that block or attenuate some of the wave field, the reradiation enable EM waves to “bend” around objects. ? Expressions exist for the multiple knife edge diffraction problem – when multiple obstructions block a propagating wave. ? There is also significant computational complexity in the receiver, although standard ICs now exist to do this computation for these common commercial devices. ? Time diversity is the use of a changing channel (due to motion of the TX or RX) at different times (µs or ms).

DISADVANTAGE :

? They were volunteers, did not receive any financial compensation, and none of them reported any hearing problem or experience in the speech quality assessment task. ? The impact of a MIMO system on the speech quality under different wireless channel conditions is studied. This impact is quantified in terms of probability of packet losses; therefore, only the effective equipment impairment factors are modified, ? It is used to predict the combined impact of various types of degradation on the speech quality during a phone call conversation, such as environmental noise at end-points, attenuation caused by echo, device attenuation at the transmission and reception points, packet losses, and the average delay time in the transmission network.

PROPOSED SYSTEM :

• Multi-access control techniques proposed in the literature all build on the basic slotted-Aloha technique. • We therefore conclude our discussion of multi-access control with a description of a number of access strategies proposed specifically for CDMA systems. • Most of these are derived from the basic PRMA scheme, as adapted to the CDMA environment. • Some of the scheduling algorithms adopted or proposed for use in packet-based wireless systems are, in fact, variations of those originally studied for use in wired networks. • Various strategies have been proposed and/or adopted to obtain further improvement in system performance.

ADVANTAGE :

? It is used in current speech communication networks because it achieves a reasonable performance in different network conditions, providing high-quality speech communications. ? Cellular network operators perform maintenance tasks, and they need tools to measure the key performance indicators of the network and the speech quality index. ? To improve the quality of transmission systems, network architecture researchers need to understand the key performance parameters of wireless channels that influence the choice of transmission techniques. ? In wireless communications, many solutions are used to improve the system performance. MIMO systems provide a costeffective approach to high-throughput wireless communications.

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