TY - GEN
T1 - Intra C-RAN Two-Way Multi-Pair Computation under Total Power and Fronthaul Capacity Constraints
AU - Hasabelnaby, Mahmoud A.
AU - Chaaban, Anas
N1 - KAUST Repository Item: Exported on 2022-09-14
Acknowledged KAUST grant number(s): OSR-2018-CRG7-3734
Acknowledgements: This publication is supported by the King Abdullah University of Science and Technology (KAUST) under Award No. OSR-2018-CRG7-3734.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2022/7/14
Y1 - 2022/7/14
N2 - Most existing works on cloud radio-access networks (C-RANs) investigate the uplink or the downlink transmissions separately. However, joint uplink and downlink design can bring additional advantages, especially in intra-cloud C-RAN communications scenarios. In this paper, a two-way multi-pair computation strategy is proposed, where message source-destination information is taken into account in our design. The achievble end-to-end rate of this scheme is derived, optimized, and evaluated numerically under total power and fronthaul capacity constraints. Numerical results reveal that significant improvement in the achievable end-to-end sum-rate can be obtained using the proposed scheme compared to conventional ones.
AB - Most existing works on cloud radio-access networks (C-RANs) investigate the uplink or the downlink transmissions separately. However, joint uplink and downlink design can bring additional advantages, especially in intra-cloud C-RAN communications scenarios. In this paper, a two-way multi-pair computation strategy is proposed, where message source-destination information is taken into account in our design. The achievble end-to-end rate of this scheme is derived, optimized, and evaluated numerically under total power and fronthaul capacity constraints. Numerical results reveal that significant improvement in the achievable end-to-end sum-rate can be obtained using the proposed scheme compared to conventional ones.
UR - http://hdl.handle.net/10754/679936
UR - https://ieeexplore.ieee.org/document/9817677/
U2 - 10.1109/cwit55308.2022.9817677
DO - 10.1109/cwit55308.2022.9817677
M3 - Conference contribution
BT - 2022 17th Canadian Workshop on Information Theory (CWIT)
PB - IEEE
ER -