Random Linear Network Coding for 5G Mobile Video Delivery

An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a number of new opportunities for optimizing video delivery across both 5G core and radio access networks. One of the promising approaches for video quality adaptation, throughput enhancement and erasure protection is the use of packet-level random linear network coding (RLNC). In this review paper, we discuss the integration of RLNC into the 5G NR standard, building upon the ideas and opportunities identified in 4G LTE. We explicitly identify and discuss in detail novel 5G NR features that provide support for RLNC-based video delivery in 5G, thus pointing out to the promising avenues for future research.Comment: Invited paper for Special Issue "Network and Rateless Coding for Video Streaming" - MDPI Informatio

Bandwidth efficient multi-station wireless streaming based on complete complementary sequences

Data streaming from multiple base stations to a client is recognized as a robust technique for multimedia streaming. However the resulting transmission in parallel over wireless channels poses serious challenges, especially multiple access interference, multipath fading, noise effects and synchronization. Spread spectrum techniques seem the obvious choice to mitigate these effects, but at the cost of increased bandwidth requirements. This paper proposes a solution that exploits complete complementary spectrum spreading and data compression techniques jointly to resolve the communication challenges whilst ensuring efficient use of spectrum and acceptable bit error rate. Our proposed spreading scheme reduces the required transmission bandwidth by exploiting correlation among information present at multiple base stations. Results obtained show 1.75 Mchip/sec (or 25%) reduction in transmission rate, with only up to 6 dB loss in frequency-selective channel compared to a straightforward solution based solely on complete complementary spectrum spreading

Interference allocation for scheduler for green multimedia delivery

One of the key challenges in wireless networking is allocating the available radio resources to maximize key service delivery parameters such as the aggregate throughput and the multimedia quality of experience (QoE). We propose a novel and effective scheduling policy that allocates resource blocks, such that interference power is shifted toward capacity-saturated users, while improving the throughput of unsaturated users. The highlight of this paper is that the proposed scheme can dramatically improve the performance of cells that have a high discrepancy in its signal-to-noise ratio (SNR) distribution, which is typical in urban areas. The results show that a free-lunch (FL) solution is possible, whereby for negligible performance degradation in the saturated users, a large improvement in the nonsaturated users can be obtained. However, on average, the number of FL user pairings is low. By relaxing the degradation constraints, the non-FL (NFL) solution can yield a greater multiuser throughput gain. Motivated by a surge in mobile multimedia traffic, we further demonstrate that the proposed scheduling may have a profound impact on both energy efficiency and QoE of multimedia service delivery

Random Linear Network Coding for 5G Mobile Video Delivery

An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a number of new opportunities for optimizing video delivery across both 5G core and radio access networks. One of the promising approaches for video quality adaptation, throughput enhancement and erasure protection is the use of packet-level random linear network coding (RLNC). In this review paper, we discuss the integration of RLNC into the 5G NR standard, building upon the ideas and opportunities identified in 4G LTE. We explicitly identify and discuss in detail novel 5G NR features that provide support for RLNC-based video delivery in 5G, thus pointing out to the promising avenues for future research

Advanced mobile communication networks using space-time processing techniques

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Random network coding for multimedia delivery services in LTE/LTE-advanced

Random Network Coding (RNC) has recently been investigated as a promising solution for reliable multimedia delivery over wireless networks. RNC possess the potential for flexible and adaptive matching of packet-level error resilience to both video content importance and variable wireless channel conditions. As the demand for massive multimedia delivery over fourth generation wireless cellular standards such as Long-Term Evolution (LTE)/LTE-Advanced (LTE-A) increases, novel video-aware transmission techniques are needed. In this paper, we investigate RNC as one such promising technique, building upon our recent work on RNC integration within the LTE/LTE-A Radio Access Network at the Multiple Access Control (MAC) layer (MAC-RNC). The paper argues that the proposed MAC-RNC solution provides fundamentally new set of opportunities for dynamic collaborative transmission, content awareness, resource allocation and unequal error protection (UEP) necessary for efficient wireless multimedia delivery in LTE/LTE-A

Aiding student conceptualisation of the mobile channel and the operation of a RAKE receiver using a project developed in SIMULINK®.

This paper presents a project to aid student conceptualisation of the complex theories that characterise the mobile channel and the operation of a Rake receiver. We show, through student feedback and performance, that these complex systems can be presented in a challenging and stimulating way to maximise the learning experience

Distributed video streaming using complete complementary sequences

In many distributed video streaming applications multiple terminals stream correlated video data to a central station to be processed. The fact that those terminals may be placed within a short range of each other in a time-varying environment, results in a high level of interference, multipath fading and noise effects. One classical solution to reduce those effects is to employ the well-known spread spectrum technique; however, this leads to a substantial increase in the required bandwidth and usually makes the system not acceptable for real-time wireless video communications. In this paper we provide a novel spreading scheme that reduces the required bandwidth by exploiting correlation among different terminal observations of a video source without performance penalty. Results obtained show reduction in a terminal transmission rate of approximately 1 Mbit/sec per terminal for the same reconstructed video quality