Paper Info
Title
Numerical Analysis For Joint Phy And Mac Perspective Of Compressive Sensing Multi-User Detection With Coded Random Access
Abstract
Massive Machine Communication (MMC) in the next generation of mobile communication (5G) systems requires new Medium Access Control (MAC) and physical (PHY) layer concepts to handle massive access with low overhead. The recently developed concept coded random access is capable of resolving collisions in massive access at MAC layer. Furthermore, Compressive Sensing Multi-User Detection (CS-MUD) achieves joint activity and data detection from the PHY layer perspective by exploiting sparsity in sporadic multi-user detection. In [1], a joint design of these two concepts was semi-analytically evaluated combining CS-MUD with coded random access under certain assumptions, which showed a promising performance for supporting MMC. In this work, a full link-level analysis of the joint protocol will be presented to verify the previous results and provide deep insights on the link-level performance. Although the joint approach on the link-level shows a small throughput loss compared to the semi-analytical evaluation, high system flexibility can be achieved by tuning MAC and PHY resources dynamically based on the numerical analysis which can be referred to in the joint MAC-/PHY-layer design.
Year
Venue
Field
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
Computer science,Computer network,Multiuser detection,Real-time computing,Physical layer,Access control,Throughput,PHY,Mobile telephony,Compressed sensing,Random access
DocType
ISSN
Citations 
Conference
2164-7038
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Yalei Ji1131.34
Carsten Bockelmann227924.67
Armin Dekorsy351357.91