Frame aggregation

About: Frame aggregation is a research topic. Over the lifetime, 487 publications have been published within this topic receiving 14295 citations.

Efficient Frame Aggregation with Frame Size Adaptation for Next Generation MU-MIMO WLANs

Abstract: This paper aims to provide an efficient frame aggregation in medium access control (MAC) layer for downlink multi-user multiple input multiple output (MU-MIMO) transmissions in IEEE 802.11ac wireless local area networks (WLANs), and proposes an efficient frame aggregation scheme which enhances system throughput and decreases frame error rate. In the proposed scheme, the receiving mobile terminal (MT) selection gives higher priority to MTs achieving higher throughput in the next MU-MIMO transmission while reducing signaling overhead, leading to system throughput improvement. The wireless frame setting in the proposed scheme, introducing hybrid frame aggregation method, provides lower frame error rate than acceptable level by using frame size adaptation. Through system-level simulation, the effectiveness of the proposed scheme is validated in downlink MU-MIMO transmissions on WLANs.

Effect of transmission opportunity and frame aggregation on VoIP capacity over IEEE 802.11n WLANs

Abstract: Wireless Fidelity (WiFi) networks have gained unprecedented growth in recent years and have played an important role in the popularity of wireless VoIP. IEEE 802.11n is the most widely used WiFi standard today. Transmission Opportunity (TXOP) and Frame Aggregation (FA) are two important Medium Access Control (MAC) Layer enhancements provided by IEEE 802.11n standard. In this work our focus is on the determination of optimal values of TXOP and FA that maximize VoIP capacity. We first determine the optimal value of FA that maximizes VoIP capacity. Our simulation results show that optimal value of FA that maximizes VoIP capacity is 14. At 10 ms packetization interval this value of FA provides a gain of 26% in VoIP capacity as compared to the VoIP capacity with no FA. Secondly, we find that the optimal value of TXOP that maximizes VoIP capacity is 13. At 10ms packetization interval this value of TXOP gives a gain of 32% in VoIP capacity as compared to VoIP capacity with default value of TXOP. We then determine the VoIP capacity when optimal values of TXOP and FA are simultaneously used. Our study reveals that simultaneous use of optimal values of both FA and TXOP further increase VoIP capacity. A gain of 44% in VoIP capacity is achieved when optimal values of TXOP and FA are used simultaneously as compared to the VoIP capacity with default values of both FA and TXOP. We further determine VoIP capacity over User Datagram Protocol (UDP) and TCP Friendly Rate Control (TFRC) protocol in the presence of Transmission Control Protocol (TCP) traffic. We note that in the presence of TCP traffic, TFRC with optimal values of TXOP and FA provides an average gain of 37% as compared to TFRC with default values of FA and TXOP.

Experimental study of IEEE 802.11n protocol

Abstract: The IEEE 802.11n protocol, ratified on September 2009, promises both higher data rates up to 600 Mbit/s and further range. In this paper we investigate the effect of most of the proposed 802.11n MAC and physical layer enhancements on the adhoc networks performance. Experimental results in a real indoor wireless testbed demonstrated the effectiveness of 802.11n enhancement. The channel bonding feature has the most significant impact on the throughput. The aggregation mechanism is not always effective. Then, we propose a new frame aggregation scheduler that considers specific QoS requirements for multimedia applications.

High efficiency IEEE 802.11ax MU-MIMO and frame aggregation analysis

Abstract: High Efficiency Wireless Local Area Network IEEE 802.11ax was introduced as an amendment for the IEEE 802.11 standard following a long series of enhancements. Unlike its predecessor, it aims to improve the performance based on the efficiency instead of the throughput. Due to the newness of the standard, many aspects are still unexplored. In our paper, we shed light on the new concepts introduced in this amendment along with older one which have been enhanced to better suit higher efficiency. Most importantly, we examine the MU-MIMO and frame aggregation scenarios, which remain an open challenge. We then proceed to analyze the performance of this amendment under various parameters in order to cover several cases.