Performance Of Heterogeneous Wireless Networks Research Articles

Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

The 5G and beyond networks will intrinsically accommodate a wide range of use-case scenarios and expand the limit of legacy mobile systems. The 5G network architecture can handle the seamless operation of various wireless channels in a heterogeneous environment. The $\eta $ - $\mu $ fading model is well-suited for versatile channels as it adapts to different fading behaviors in a broad-range propagation for non-line-of-sight (NLOS) circumstances. This paper evaluates the performance of heterogeneous wireless networks using $\eta $ - $\mu $ fading channel under mobility conditions. We incorporated the random waypoint (RWP) model with $\eta $ - $\mu $ distribution to model the dynamic behavior of non-homogeneous fading. The derivation of expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the received signal power for a mobile network in all three-dimensional topologies is extracted. Consequently, the outage probability (OP) and average bit error rate (ABER) are analyzed to quantify the performance of the mobile system. The effect of co-channel interference (CCI) is investigated based on a desired and interfering signal transmitted in mobile networks. The proposed novel-form can characterize the performance of a mobile user, and the derivation is useful for measuring the effect of noise and interference on the signal. Finally, the novel-form applicability analyzes the impact of mobility incorporated in different fading channels such as Nakagami-m, Nakagami-q (Hoyt), Rayleigh, and one-sided Gaussian distributions.

An Access Selection Algorithm for Heterogeneous Wireless Networks Based on Optimal Resource Allocation

Wireless networks form heterogeneous wireless networks (HWNs) with overlapping signal coverage, and access selection is one of the key technologies of HWNs. Today, most access selection algorithms select appropriate networks mainly from the perspective of users while failing to consider resource allocation and optimize the overall transmission performance of HWNs. This paper proposes an access selection algorithm for HWNs based on optimal resource allocation by analyzing the wireless link transmission rate model, focusing on maximizing the HWN transmission rate, using the dynamic programming theory to derive the optimal value of bandwidth allocated to users. Experimental results show that the algorithm proposed in this paper can effectively improve network throughput and resource utilization and can connect users to the appropriate network according to QoS rate requirements.

Impact of Qos Mechanisms on the Performance of Dynamic Web Services in Heterogeneous Wireless Networks (802.11e and 802.16e)

The quality of service in heterogeneous wireless networks is increasingly demanded by customers and by Internet access providers. This paper studies and evaluates the impact of quality of service and the improvements induced on web-oriented services. The heterogeneous wireless networks studied in this paper are: 802.11e and 802.16e. Several scientific research work has been conducted evaluating the performance of heterogeneous wireless networks taking into account the quality of service. According to our research, no work has been done taking into account the convergence of two networks with mobility constraints. This study carried out under OPNET Modeler 14.5, varying the 802.11e QoS mechanisms (DCF, PCF, HCCA, EDCA) and 802.16e (Best Effort, nRTPS). The criteria of evaluation are: TCP delay, TCP retransmission count, HTTP Response and Database Page Response Time.

Content-Aware Video QoE Coverage Analysis in Heterogeneous Wireless Networks

With quality of experience (QoE) taking a center stage in the evaluation of wireless telecommunication system, optimizing the performance of heterogeneous wireless networks (HWNs) is in need of tak...

Radio resource management scheme for heterogeneous wireless networks based on access proportion optimization

Improving resource utilization has been a hot issue in heterogeneous wireless networks (HWNs). This paper proposes a radio resource management (RRM) method based on access proportion optimization. By considering two or more wireless networks in overlapping regions, users in these regions must select one of the networks to access when they engage in calls. Hence, the proportion of service arrival rate that accesses each network in the overlapping region can be treated as an optimized factor for the performance analysis of HWNs. Moreover, this study considers user mobility as an important factor that affects the performance of HWNs, and it is reflected by the handoff rate. The objective of this study is to maximize the total throughput of HWNs by choosing the most appropriate factors. The total throughput of HWNs can be derived on the basis of a Markov model, which is determined by the handoff rate analysis and distribution of service arrival rate in each network. The objective problem can actually be expressed as an optimization problem. Considering the convexity of the objective function, the optimization problem can be solved using the subgradient approach. Finally, an RRM optimization scheme for HWNs is proposed. The simulation results show that the proposed scheme can effectively enhance the throughput of HWNs, i.e., improve the radio resource utilization.

Topology control of wireless network based on different transceiver gains

The topology control optimizes wireless networks by adjusting nodes' transmission power or other performance index.Meanwhile,nodes in heterogeneous wireless network possess different features,which obstructs the optimization of wireless network with the traditional topology control algorithms developed from homogeneous networks.This paper proposed a kind of topology control model by introducing SINR into topology model,in order to solve the interference caused by nodes' different transceiver gains.By adopting hierarchical clustering algorithm,new topology control strategy could improve the performance of heterogeneous wireless networks,which is supported by simulations.