TY - GEN
T1 - An Exploration of the Heterogeneous Unsourced MAC
AU - Rini, S.
AU - Amalladinne, V. K.
AU - Chamberland, J. F.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The unsourced multiple access channel (MAC) model was originally introduced to study the communication scenario in which a number of devices with low-complexity and low-energy wish to upload their respective messages to a base station. In the original problem formulation, all devices communicate using the same information rate: this may be very inefficient in certain wireless situations with varied channel conditions, power budgets, and payload requirements at the devices. This paper extends the original problem setting to allow for heterogeneous transmissions. More specifically, we consider the scenario in which devices are clustered into two classes with different signal-to-noise ratio (SNR) levels and payload requirements. In the cluster with higher power, devices transmit using a two-layer superposition modulation. In the cluster with lower energy, users transmit with the same base constellation as in the high power cluster. Within each layer, devices employ the same codebook. At the receiver, signal groupings are recovered using Coded Compressed Sensing (CCS) decoder. An outer code is further employed to stitch fragments together across times and layers, as needed. This pragmatic approach to heterogeneous CCS is validated numerically and design guidelines are identified.
AB - The unsourced multiple access channel (MAC) model was originally introduced to study the communication scenario in which a number of devices with low-complexity and low-energy wish to upload their respective messages to a base station. In the original problem formulation, all devices communicate using the same information rate: this may be very inefficient in certain wireless situations with varied channel conditions, power budgets, and payload requirements at the devices. This paper extends the original problem setting to allow for heterogeneous transmissions. More specifically, we consider the scenario in which devices are clustered into two classes with different signal-to-noise ratio (SNR) levels and payload requirements. In the cluster with higher power, devices transmit using a two-layer superposition modulation. In the cluster with lower energy, users transmit with the same base constellation as in the high power cluster. Within each layer, devices employ the same codebook. At the receiver, signal groupings are recovered using Coded Compressed Sensing (CCS) decoder. An outer code is further employed to stitch fragments together across times and layers, as needed. This pragmatic approach to heterogeneous CCS is validated numerically and design guidelines are identified.
KW - Approximate message passing
KW - Coded compressed sensing
KW - Superposition constellation
KW - Unsourced random access
UR - http://www.scopus.com/inward/record.url?scp=85127024500&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723339
DO - 10.1109/IEEECONF53345.2021.9723339
M3 - Conference contribution
AN - SCOPUS:85127024500
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 954
EP - 958
BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
A2 - Matthews, Michael B.
PB - IEEE Computer Society
Y2 - 31 October 2021 through 3 November 2021
ER -