Applications are typically offered a single, generic option for end-to-end transport, which most commonly consists of the particular flavor of TCP that runs in the server host. This arrangement does not suit well the diversity of the requirements that individual applications pose on network metrics like throughput and delay. Link-Coupled TCP (LCTCP) is a new transport solution that leverages the architectural trends of 5G networks to enable accurate satisfaction of the unique requirements of each application. LCTCP first isolates the 5G access link as the only possible network bottleneck for the application flow, then establishes a lightweight signaling channel between the link buffer and the application server to convey critical information for flexible control of the data source. LCTCP can be deployed in the network without modification of the TCP clients. We use a Linux prototype to demonstrate its feasibility and effectiveness.

Virtual reality and 360-degree video streaming are growing rapidly, yet, streaming high-quality 360-degree video is still challenging due to high bandwidth requirements. Existing solutions reduce bandwidth consumption by streaming high-quality video only for the user's viewport. However, adding the spatial domain (viewport) to the video adaptation space prevents the existing solutions from buffering future video chunks for a duration longer than the interval that user's viewport is predictable. This makes playback more prone to video freezes due to rebuffering, which severely degrades the user's Quality of Experience especially under challenging network conditions. We propose a new method that alleviates the restrictions on buffer duration by utilizing scalable video coding. Our method significantly reduces the occurrence of rebuffering on links with varying bandwidth without compromising playback quality or bandwidth efficiency compared to the existing solutions. We demonstrate the efficiency of our proposed method using experimental results with real world cellular network bandwidth traces.

Virtual reality and 360-degree video streaming are growing rapidly; however, streaming 360-degree video is very challenging due to high bandwidth requirements. To address this problem, the video quality is adjusted according to the user viewport prediction. High quality video is only streamed for the user viewport, reducing the overall bandwidth consumption. Existing solutions use shallow buffers limited by the accuracy of viewport prediction. Therefore, playback is prone to video freezes which are very destructive for the Quality of Experience (QoE). We propose using layered encoding for 360-degree video to improve QoE by reducing the probability of video freezes and the latency of response to the user head movements. Moreover, this scheme reduces the storage requirements significantly and improves in-network cache performance.

The IEEE 802.11 standards define a distributed scheme for Wi-Fi access points and stations to fairly share the wireless medium. Even if fully standard-compliant, Wi-Fi devices from different vendors have implementation differences that lead to disparities in their ability to access the medium. Erratic upper-layer behaviors become manifest when devices that exhibit such disparities inter-operate within one network. In this paper we show examples of those behaviors based on common use cases. We find that a primary cause of performance inconsistency for most network applications is the uneven ability of different IEEE 802.11 devices to access the shared medium for transmission of TCP acknowledgments, further aggravated by the excessive size of the buffers where those packets are queued before transmission. We devise and validate in a real network an effective solution for Linux hosts that is based on the link-layer priorities of IEEE 802.11e. This solution allows researchers conducting Wi-Fi experiments to collect device-independent results, and application providers to guarantee a consistent experience to their users across different devices.

Network emulation strikes the balance between using real machines on full-fledged networks and running software models of applications and networks in simulation environments. Advanced Linux features make it possible to emulate entire networks on a single machine, enabling experiments that are much easier to run and repeat. However, some of these features were not designed with the primary purpose of supporting emulation frameworks: if not carefully configured, they can lead to erroneous results. In this paper we note a few properties of Linux-based network emulation that researchers should consider while planning their experiments. We also recommend a particular configuration that improves the fidelity of emulation results.

Repeatability, isolation and accuracy are the most desired factors while testing wireless devices. However, they cannot be guaranteed by traditional drive tests. Channel emulators play a major role in filling these gaps in testing. In this paper we present an efficient channel emulator which is better than existing commercial products in terms of cost, remote access, support for complex network topologies and scalability. We present the hardware and software architecture of our channel emulator and describe the experiments we conducted to evaluate its performance against a commercial channel emulator.