Name
Abstract | ||
|---|---|---|
User-centric wireless access virtualization (WAV) allows each user to be served by a set of carefully selected transmission points (TPs) forming a user-specific virtual base station (uVBS) adapted to its environment and quality-of-service (QoS) requirement. In this way, this new concept breaks away from the conventional cell-centric architecture to provide boundaryless communications in future fifth-generation (5G) networks. This fundamental structural 5G evolution and the ultra-dense multi-tier heterogeneous context foreseen in such networks require an inevitable rethinking of efficient scalable TP clustering. As such, this paper proposes three innovative low-cost clustering approaches that enable the user-centric WAV and provide dynamic, adaptive, and overlapping TP clusters while requiring not only negligible overhead cost but also minimum signaling changes at both network and user sides. Contrary to existing clustering techniques, the new ones we propose better leverage the 5G features such as extreme densification and massive connectivity as well as new concepts such as millimeter wave (mmWave) spectrum and massive multiple-input-multiple-output (MIMO). The simulations show that they may achieve until 154% and 282% of throughput and coverage gains, respectively. Furthermore, these approaches are flexible enough to be adapted to different network dimensions (i.e., space and time), thereby paving the way for achieving the dramatic performance improvements required by the 5G networks to cope with the upcoming mobile data deluge. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCOMM.2019.2910258 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Wireless/radio access virtualization,user-centric architecture,cloud-radio access network (C-RAN),dynamic adaptive clustering,mmWave,massive MIMO | Virtualization,Base station,Wireless,Computer science,Computer network,Quality of service,Electronic engineering,Throughput,Cluster analysis,Mobile broadband,Scalability | Journal |
Volume | Issue | ISSN |
67 | 7 | 0090-6778 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Slim Zaidi | 1 | 136 | 14.32 |
| Oussama Ben Smida | 2 | 2 | 1.37 |
| Sofiène Affes | 3 | 962 | 97.26 |
| Usa Vilaipornsawai | 4 | 8 | 2.83 |
| Liqing Zhang | 5 | 61 | 5.19 |
| Peiying Zhu | 6 | 295 | 16.35 |