This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

Systems and methods for optimizing system performance of capacity and spectrum constrained, multiple-access communication systems by selectively discarding packets are provided. The systems and methods provided herein can drive changes in the communication system using control responses. One such control responses includes the optimal discard (also referred to herein as “intelligent discard”) of network packets under capacity constrained conditions. The systems and methods prioritize packets and make discard decisions based upon the prioritization. Some embodiments provide an interactive response by selectively discarding packets to enhance perceived and actual system throughput, other embodiments provide a reactive response by selectively discarding data packets based on their relative impact to service quality to mitigate oversubscription, others provide a proactive response by discarding packets based on predicted oversubscription, and others provide a combination thereof.

Systems and methods for prioritization of data for intelligent discard in a communication network

Wireless video broadcast/multicast and mobile video communication pose a challenge to the conventional video transmission scheme (which consists of separate digital source coding and digital channel coding). The reason is that the separate coding scheme is based on nonscalable coding design, and this unavoidably leads to cliff effect as well as limits the ability to support multiple users with diverse channel conditions. In this paper, we propose a novel wireless scalable video coding (WSVC) framework. Specifically, we present a hybrid digital-analog (HDA) joint source-channel coding (JSCC) scheme that integrates the advantages of digital coding and analog coding. Moreover, the proposed JSCC is able to broadcast one video with different resolutions to fit various devices with different display resolutions. Compared to most state-of-the-art video delivery methods, it avoids the staircase effect and realizes continuous quality scalability (CQS) on condition that the channel quality is within the expected range, and it has strong adaptability to channel variation with higher coding efficiency and better fairness among all receivers. Therefore, it is very suitable for wireless video broadcast/multicast transmission and mobile video applications. The experimental results show that for broadcasting/multicasting the videos with CIF and QCIF resolutions the proposed WSVC outperforms SoftCast (which is a new analog scheme) average 0.60-5.90 dB and 3.39-9.97 dB respectively, outperforms SVC+HM (which combines H.264/SVC codec and hierarchical modulation technique) average 3.87-9.13 dB and 0.27-10.47 dB respectively, and outperforms DCast (which is an up-to-date video delivery scheme) about 0.2-3.3 dB for the video with CIF resolution. The experimental results verify the effectiveness of our proposed WSVC framework.

Wireless Scalable Video Coding Using a Hybrid Digital-Analog Scheme

Real-time video demands quality-of-service (QoS) guarantees such as delay bounds for end-user satisfaction. Furthermore, the tolerable delay varies depending on the use case such as live streaming or two-way video conferencing. Due to the inherently stochastic nature of wireless fading channels, deterministic delay bounds are difficult to guarantee. Instead, we propose providing statistical delay guarantees using the concept of effective capacity. We consider a multiuser setup whereby different users have (possibly different) delay QoS constraints. We derive the resource allocation policy that maximizes the sum video quality and applies to any quality metric with concave rate-quality mapping. We show that the optimal operating point per user is such that the rate-distortion slope is the inverse of the supported video source rate per unit bandwidth, a key metric we refer to as the source spectral efficiency. We extend the resource allocation policy to capture video quality-driven adaptive user-subcarrier assignment in wideband channels as well as capture the impact of adaptive modulation and coding. We also solve the alternative problem of fairness-based resource allocation whereby the objective is to maximize the minimum video quality across users. Finally, we derive user admission and scheduling policies that enable selecting a maximal user subset such that all selected users can meet their statistical delay requirement. Results show that video users with differentiated QoS requirements can achieve similar video quality with vastly different resource requirements. Thus, QoS-aware scheduling and resource allocation enable supporting significantly more users under the same resource constraints.

Delay-Constrained Video Transmission: Quality-Driven Resource Allocation and Scheduling

A control method in a mobile communication system with a buffer unit for temporarily storing packet data to be sent, includes dropping the packet data stored in the buffer unit before sending when a drop timer corresponding to the packet data before sending reaches a given value or when a drop condition required by a drop mechanism accompanying the buffer unit is satisfied, and dropping the packet data stored in the buffer unit after sending when a drop timer corresponding to the packet data after sending reaches a given value.

Method for dropping packet data, radio communication device, and mobile communication system

We consider the problem of scheduling and resource allocation for multiuser video streaming over downlink orthogonal frequency division multiplexing (OFDM) channels. The video streams are precoded using the scalable video coding (SVC) scheme that offers both quality and temporal scalabilities. The OFDM technology provides the flexibility of resource allocation in terms of time, frequency, and power. We propose a gradient-based scheduling and resource allocation algorithm, which prioritizes the transmissions of different users by considering video contents, deadline requirements, and transmission history. Simulation results show that the proposed algorithm outperforms the content-blind and deadline-blind algorithms with a gain of as much as 6 dB in terms of average PSNR when the network is congested.

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Scheduling and Resource Allocation for SVC Streaming Over OFDM Downlink Systems

In one aspect, a method of operating a wireless system is disclosed. The method comprises allocating each video packet to a plurality of user specific priority queues. The method further comprises assigning each of the queues to a video quality layer. The method further comprises selectively dropping of one or more of video packets in cases of network congestion based on the video quality layer information.

Method for operating a multi-media wireless system in a multi-user environment

Efficient delivery of multimedia contents over wireless network is essential for future communication networks. However, content distribution and network engineering are traditionally studied separately, which leads to suboptimal network performance. In this paper, we consider the problem of scheduling and resource allocation for multi-user video streaming over downlink OFDM channels. The video streams are preceded with the SVC coding scheme, which offers both quality and temporal scalabilities. The OFDM technology provides the maximum flexibility of resource allocation in terms of time, frequency, and power. We propose a gradient-based scheduling and resource allocation algorithm, which explicitly takes account of video contents, deadline requirements, and the previous transmission results when calculating users' priority weights. Simulation results show that our proposed algorithm always outperforms the content- blind and deadline-blind algorithms, with a performance gain as much as 6 dB in terms of average user PSNR improvement in a congested network.

Downlink OFDM Scheduling and Resource Allocation for Delay Constraint SVC Streaming

This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization, considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the access point of a WiFi wireless local area network and extends the PHY-MAC run-time cross-layer scheduling strategy that we introduced in (Mangharam et al., 2005; Pollin et al., 2005) to also consider congested network situations where video packets have to be dropped. We show that an optimal solution at PHY-MAC level can be highly suboptimal at application level, and then show that making the cross-layer framework application-aware through a prioritized dropping policy capitalizing on the inherent scalability of Motion JPEG2000 video streams leads to drastic average video quality improvements an inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.

Multi-user motion JPEG2000 over wireless LAN: run-time performance-energy optimization with application-aware cross-layer scheduling

We consider the problem of packet scheduling for the transmission of multiple video streams over a wireless local area network (WLAN). A cross-layer optimization framework is proposed to minimize the wireless transceiver energy consumption while meeting the user required visual quality constraints. The framework relies on the IEEE 802.11 standard and on the embedded bitstream structure of the scalable video coding scheme. It integrates an application-level video quality metric as QoS constraint (instead of a communication layer quality metric) with energy consumption optimization through link layer scaling and sleeping. Both energy minimization and min-max energy optimization strategies are discussed. Simulation results demonstrate significant energy gains compared to the state-of-the-art approaches.

https://biblio.ugent.be/publication/745227/file/770610.pdf

Xin Ji

Papers

Scheduling and Resource Allocation for SVC Streaming Over OFDM Downlink Systems

Method for operating a multi-media wireless system in a multi-user environment

Downlink OFDM Scheduling and Resource Allocation for Delay Constraint SVC Streaming

Multi-user motion JPEG2000 over wireless LAN: run-time performance-energy optimization with application-aware cross-layer scheduling

Energy-efficient bandwidth allocation for multiuser scalable video streaming over WLAN