TY  - INPR
TI  - Resource Allocation Policies for Battery Constrained Energy Harvesting Communication Systems with Co-Channel Interference
SN  - 0090-6778
Y1  - 2022/10/19/
PB  - Institute of Electrical and Electronics Engineers (IEEE)
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ID  - discovery10159017
KW  - Resource management
KW  -  Batteries
KW  -  Communication systems
KW  - 
Iterative methods
KW  -  Throughput
KW  -  Programming
KW  -  Energy harvesting
UR  - https://doi.org/10.1109/TCOMM.2022.3215997
A1  - Valiulahi, I
A1  - Salem, A
A1  - Masouros, C
AV  - public
JF  - IEEE Transactions on Communications
N2  - This paper studies resource allocation policies for energy harvesting (EH) multi-user multiple input single output (MU- MISO) communication systems. The multi-antenna EH base station (BS) is equipped with a limited-capacity battery. Though employing the multi-antenna at the BS provides the channel diversity, this leads to the co-channel interference which makes the resource allocation problem hard to solve. For this challenging scenario, we first consider off-line policies based on full channel state information (CSI) and energy arrival information (EAI) to obtain the best performance for any feasible resource allocation policies. We propose an iterative algorithm using generalized linear fractional programming to obtain an optimal policy. To achieve a low-complexity sub-optimal policy, we propose another iterative algorithm using the successive convex approximation. Based on the off-line policies, we develop on-line policies in which only statistical CSI and EAI are available. The complexity of the proposed policies is derived. Finally, simulation results evaluate the performance of the proposed approaches and show that the proposed polices outperform the benchmark.
ER  -