Oghenekome Oteri

Carrier Grade Wi-Fi: Air interface requirements and technologies

The IEEE 802.11 standardization group has recently ratified 802.11ac as the newest major amendment of the 802.11 family of Wi-Fi standards. While 802.11ac has specified a number of improvements over 802.11n such as: (i) 8 spatial streams (ii) mandatory bandwidth of 80 MHz and (iii) multi-user MIMO on the downlink, these improvements mostly target to improve the per-link throughput, and in case of MU-MIMO, traffic performance on the downlink. In order to satisfy the air interface high efficiency requirements and technologies, herein referred to broadly as 5G-Carrier Grade WiFi (5G-CGW), it is important to consider other metrics for system performance, such as area-throughput and Quality of Experience (QoE), which are more relevant in use cases where there can be a dense deployment of access points (APs), and stations (STAs). Recently, 802.11 started a study group called High Efficiency Wi-Fi (HEW) to develop the next generation of Wi-Fi physical (PHY) and medium access control (MAC) protocols that would satisfy these requirements. In this paper we will first provide an overview of the state-of-the-art in 802.11 standards, followed by a discussion on some of the limitations of 802.11ac in use cases of interest such as dense deployments in apartment buildings, stadiums and airports. We will provide an overview and preliminary simulation results of three technologies that have shown promise for meeting the requirements of CGW: (i) Multi-User Parallel Channel Access (MU-PCA) which would allow APs to simultaneously transmit to and to receive from a number of STAs in the frequency domain: enabled through multiplexing. This would alleviate the problem of underutilization of frequency resources caused by the need to support STAs of different bandwidths. (ii) Uplink Multi-User MIMO (UL MU-MIMO): IEEE 802.11ac standardized multi-user simultaneous transmissions in the downlink via downlink MU-MIMO. Uplink MU-MIMO needs to be defined to enable multiple users to share the spatial domain and transmit at the same time in the uplink. (iii) Fractional CSMA and Transmit Power Control (TPC): In a dense deployment of APs, the performance of overlapping basic service sets (BSSs) can be improved by coordinating the transmitted power in the adjacent APs in such a manner that STAs on the edge of coverage face reduced interference.

Carrier frequency offset correction for uplink multi-user MIMO for next generation Wi-Fi

In this paper, we study carrier frequency offset estimation and correction for uplink multi-user MIMO (UL MU-MIMO) for Wi-Fi, where distributed stations (STAs) send multiple data streams to a common access point (AP) with multiple receive antennas. We provide a description of the proposed system, and propose a three-step approach using a joint phase estimation algorithm for carrier frequency synchronization that takes advantage of the existing pilot signals to deliver good performance and also has low complexity. We provide simulation results to demonstrate that the proposed approach incurs negligible performance loss due to carrier frequency offsets.

Sub-channel selection for multi-user channel access in next generation Wi-Fi

The IEEE 802.11 specification for Wi-Fi supports 20 MHz channels utilizing bandwidths up to 160 MHz. However, the support of devices simultaneously transmitting over different, non-overlapping channels, is not specifically addressed. Recently, there has been interest in developing an 802.11 specification for next generation Wi-Fi which has led to the requirement for solutions with efficient frequency resource utilization that are not currently supported. In this paper we continue the study of the Multi-User Parallel Channel Access (MU/PCA) scheme that enables simultaneous transmissions to multiple devices of various bandwidths, while maintaining backward compatibility with 802.11ac. We provide detailed physical layer design methods for MU/PCA, and propose several multi-user sub-channel selection algorithms. Finally we present numerical results which demonstrate the potential performance of the proposed MU/PCA algorithms.