RLoad: Reputation-based load-balancing network selection strategy for heterogeneous wireless environments

Abstract

In the current environment, network operators are trying to cope with the significant increase in data traffic by adopting different solutions to expand their network capacity. One solution would be the convergence of next generation wireless networks (e.g., HSDPA, LTE and WiMAX) which involve the closely interworking of the existing 2G/2.5G/3G networks with the new next generation networks in terms of handover and network selection. However, as a result, the diversification in mobile devices and the heterogeneity of the wireless environment make the seamless always best connectivity of the mobile users a challenge for the service providers. To this extent, we propose RLoad a novel Reputation-based Load-balancing Network Selection Strategy for heterogeneous wireless environments built on top of the IEEE 802.21 Media Independent Handover (MIH) standard. The proposed solution makes use of a reputation-based mechanism to select the most appropriate set of networks for the mobile user and a load balancing mechanism to distribute the traffic load among the networks by making use of the Multipath TCP (MPTCP) protocol. Preliminary simulation results show the significant benefits of the proposed RLoad solution.

Utility-Based Multipath Delivery of Prioritized XR Content in a Machine Learning and Network Slicing-enhanced Environment

“…Several studies explore the use of MPTCP in diverse mobile and wireless networks. RLoad [15] leverages MPTCP in wireless environments to balance traffic and find the optimal combination of Quality of Service (QoS), cost, and energy consumption through network selection based on reputation. MPTCP-QE [16], an application-layer solution, manages the trade-off between throughput and energy consumption for mobile phones by optimizing wireless resource usage through an MPTCP congestion window fast recovery strategy.…”

Innovative Algorithms for Prioritised AR/VR Content Delivery

“…The QoE-driven energy-aware content delivery for mobile phones (MPTCP-QE) [15] is an application layer solution to manage the trade-off between throughput and energy consumption using an MPTCP congestion window fast recovery strategy to optimize the use of wireless resources. The Reputationbased Load-balancing (RLoad) network selection for wireless environments [16] uses MPTCP to balance the traffic and find the best combination of QoS, cost and energy consumption.…”

Statistical Quality of Service to Increase Qos/Qoe of IP-Based Gateway for Integrating Heterogeneous Wireless Devices

“…Location co-ordinates of the MH can be extracted as explained in references [3,11]. While x is the angle made by the BBS and direction of movement at the MH, the distance d between the BBS and MH and r can both be derived from the equation where the Received Signal Strength (RSS) is given by [14]:…”