Name
Abstract | ||
|---|---|---|
Mobile traffic is growing exponentially, with video expected to reach 75% of the total network traffic by 2020. The dense deployment of small cell networks (SCN) in outdoor urban areas has been widely accepted as a solution to the capacity and coverage problems on access networks. However, backhauling the traffic to the core network is one of the major challenges faced by network operators. Millimeter wave (mmW) technologies provide the high capacity and deployment flexibility required in 5G transport systems, but the need for non-line-of-sight (NLOS) operation in urban environments limits their application in backhauling outdoor urban small cells. In our earlier work, we have proposed a NLOS backhaul solution based on propagation by diffraction. This paper investigates the delivery of video traffic over such a network. We develop an optimization algorithm based on genetic algorithm, and propose the use the concept of multiple description coding (MDC) to enable delivery of high-quality videos over the NLOS backhaul system. Numerical results obtained show that high-performance gains can be achieved by using MDC over the multiple paths of the NLOS environment. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AFRCON.2017.8095478 | 2017 IEEE AFRICON |
Keywords | Field | DocType |
small cell backhaul,optimization,genetic algorithm,double description video,non-line-of-sight | Non-line-of-sight propagation,Multiple description coding,Backhaul (telecommunications),Core network,Computer network,Packet loss,Small cell,Engineering,Wireless ad hoc network,Access network | Conference |
ISSN | ISBN | Citations |
2153-0025 | 978-1-5386-2776-1 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bessie Malila | 1 | 4 | 1.79 |
| Olabisi Emmanuel Falowo | 2 | 46 | 13.72 |
| Neco Ventura | 3 | 124 | 25.86 |