Resource Allocation and QoS Guarantees for Real World IP Traffic in Integrated XG-PON and IEEE802.11e EDCA Networks

Abstract

Globally, there is a significant rise in the number of connected devices. Every device has an access to wide variety of telecom services among which voice, video and best effort (BE) contribute significantly. There is a noticeable growing trend towards upstream BE traffic besides real time e-services that demand high quality of service (QoS). Converged next-generation fiber-wireless (FiWi) access networks composed of next-generation passive optical network (XG-PON) and 802.11n based wireless local area network (WLAN) has emerged as a suitable choice to provide high quality and affordable e-services to plenty of subscribers as they possess both high bandwidth and flexibility. In this paper, we study the performance of the integrated network architecture which combines XG-PON and enhanced distributed channel access (EDCA) under real time bursty traffic derived from the current global IP traffic distribution. The joint tuning of various crucial parameters of both XG-PON and EDCA with incorporation of an efficient deficit dynamic bandwidth algorithm (DBA) at optical line terminal (OLT) is done by exhaustive simulations in network simulator-3 (NS-3). Through intensive simulations and tuning, we are able to achieve a end-toend delay performance of < 150 ms for voice, < 500 ms for video and a few seconds for BE upto full capacity. Also, a packet loss ratio (PLR) of < 3% and < 6% is achieved for voice and BE respectively upto full load. For voice PLR is < 1% upto 60% total offered load. Further, it is observed that the fine tuning of key parameters has also resulted in increased bandwidth for dominant BE services. Therefore, this optimized network architecture is 20% more fair to BE services as compared to the conventional integrated FiWi architectures.

Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review

“…The increasing number of external stakeholders and the need for information exchange among the mmWave radio and optical networks is already reflected in several works [42,43,52,54,57]. Considering the expanding level of information with the increasing number of users, nodes, antennas in massive MIMO mmWave networks, distributed federated learning approaches provide a novel optimization solution on top of the existing beamforming and DBA solutions.…”

“…Different stakeholders become involved in the decision-making framework of converged optical and radio mmWave networks, such as competing network operators in [42], network services with different QoS demands in [52], and users in [57]. The interactions among these stakeholders are defined by distributed cooperative and competitive models depending on their relation.…”

“…Evolutionary game theory is used to model the interactions among the BSs and the PON for DBA in [42] and BSs change their strategies based on replicator dynamics. Three algorithms are developed in [52] to assign appropriate bandwidth to each service with priority based differentiation of the QoS demands of different services. A user and network sub-channel resource allocation problem is analyzed in a joint algorithm in [57] and the interactions are defined with an optimal algorithm based on Lagrange duality and a greedy algorithm based sub-optimal solution.…”

“…Throughput maximization for eMBB is a two sided problem for mmWave radio and optical networks, as priority based QoS-aware solutions are discussed [52] to realize such services with QoS guarantees, whereas minimum throughput targets for other services are also considered by applying fair scheduling [56]. Among the existing works, centralized management decisions are mainly used to respond to the throughput maximizationresource allocation fairness trade-off.…”

Highest Cost First-Based QoS Mapping Scheme for Fiber Wireless Architecture

“…This DSCP-to-CoS preset takes the place of packet classification in the ONU, encouraging the minimal loading of the packet classification. A QoS-aware integration of the XG-PON and Wi-Fi network was designed in Reference [25] to provide e-services to subscribers. Authors have used the DXGIANT DBA algorithm at the XGPON side and the EDCA model at wireless local area network with IEEE 802.11n.…”