Name
Abstract | ||
|---|---|---|
Fifth generation (5G) wireless networks are expected to support very diverse applications and terminals. Massive connectivity with a large number of devices is an important requirement for 5G networks. Current LTE system is not able to efficiently support massive connectivity, especially on the uplink (UL). Among the issues that arise due to massive connectivity is the cost of signaling overhead and latency. In this paper, an uplink contention-based sparse code multiple access (SCMA) design is proposed as a solution. First, the system design aspects of the proposed multiple-access scheme are described. The SCMA parameters can be adjusted to provide different levels of overloading, thus suitable to meet the diverse traffic connectivity requirements. In addition, the system-level evaluations of a small packet application scenario are provided for contention-based UL SCMA. SCMA is compared to OFDMA in terms of connectivity and drop rate under a tight latency requirement. The simulation results demonstrate that contention-based SCMA can provide around 2.8 times gain over contention-based OFDMA in terms of supported active users. The uplink contention-based SCMA scheme can be a promising technology for 5G wireless networks for data transmission with low signaling overhead, low delay, and support of massive connectivity. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/GLOCOMW.2014.7063547 | Globecom Workshops |
Keywords | DocType | Volume |
5G mobile communication,Long Term Evolution,OFDM modulation,5G radio access,5G wireless networks,LTE system,OFDMA,contention-based UL SCMA design,fifth generation wireless networks,multiple-access scheme,system-level evaluations,uplink contention based SCMA,uplink contention-based sparse code multiple access design,5G,OFDMA,SCMA,contention access,multiple access scheme | Journal | abs/1407.5495 |
ISSN | Citations | PageRank |
2166-0069 | 59 | 2.81 |
References | Authors | |
3 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kelvin Au | 1 | 158 | 6.19 |
| Liqing Zhang | 2 | 61 | 5.19 |
| Hosein Nikopour | 3 | 365 | 21.15 |
| Eric Yi | 4 | 59 | 2.81 |
| Alireza Bayesteh | 5 | 337 | 24.21 |
| Usa Vilaipornsawai | 6 | 65 | 4.36 |
| Jianglei Ma | 7 | 195 | 12.82 |
| Peiying Zhu | 8 | 295 | 16.35 |