TY - GEN
T1 - Lattice Codes for C-RAN Based Sectored Cellular Networks
AU - Gelincik, Samet
AU - Othman, Ghaya Rekaya Ben
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - This paper demonstrates the advantage of utilizing lattice codes in uplink sectored cellular networks employing Cloud radio access network (C-RAN). We give a novel decomposition of the cellular network into interfering but non-overlappping clusters. We employ compute-and-forward (CoF) and quantized-CoF (QCoF) for each cluster by allowing each sector to compute best equation and to treat out-of-cluster as noise. CoF may perform poorly due to rank deficiency of the integer coefficient matrix. This is solved using QCoF, which shows highly favorable performance in terms of average sum-rate. To reduce implementation complexity of the proposed scheme for QCoF, we investigate the effect of employing less number of nested lattices than number of users, i.e., some users apply the same lattice code, and hence, the rate of the lattice code is chosen as the minimum of rates of these users. Simulation results show that the sum rate degradation of QCoF due to using fewer nested lattices is not significant especially if the fronthaul capacity is limited. It is also shown that QCoF with reduced number of nested lattices outperforms CoF even if one lattice code is employed for all cluster users.
AB - This paper demonstrates the advantage of utilizing lattice codes in uplink sectored cellular networks employing Cloud radio access network (C-RAN). We give a novel decomposition of the cellular network into interfering but non-overlappping clusters. We employ compute-and-forward (CoF) and quantized-CoF (QCoF) for each cluster by allowing each sector to compute best equation and to treat out-of-cluster as noise. CoF may perform poorly due to rank deficiency of the integer coefficient matrix. This is solved using QCoF, which shows highly favorable performance in terms of average sum-rate. To reduce implementation complexity of the proposed scheme for QCoF, we investigate the effect of employing less number of nested lattices than number of users, i.e., some users apply the same lattice code, and hence, the rate of the lattice code is chosen as the minimum of rates of these users. Simulation results show that the sum rate degradation of QCoF due to using fewer nested lattices is not significant especially if the fronthaul capacity is limited. It is also shown that QCoF with reduced number of nested lattices outperforms CoF even if one lattice code is employed for all cluster users.
KW - Cloud radio access networks
KW - compute-and-forward
KW - lattice codes
KW - quantized compute-and-forward
KW - sectorization
UR - https://www.scopus.com/pages/publications/85089425846
U2 - 10.1109/ICC40277.2020.9148793
DO - 10.1109/ICC40277.2020.9148793
M3 - Conference contribution
AN - SCOPUS:85089425846
T3 - IEEE International Conference on Communications
BT - 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Communications, ICC 2020
Y2 - 7 June 2020 through 11 June 2020
ER -