Title
Downlink Ergodic Sum Capacity Maximisation For Massive Distributed Antenna Systems With Swipt Protocol
Abstract
The paper investigates simultaneous wireless information and power transfer (SWIPT) in massive distributed antenna systems, where the remote radio heads (RRH) equipped with a large number of antennas are arbitrarily distributed over the coverage area and each terminal operates via a power-splitting (PS) device. Utilising the harvested energy, each terminal transmits its pilot signals for channel estimation. A closed-form lower bound expression on the downlink ergodic capacity is derived for each terminal and then downlink ergodic sum capacity maximisation problem with respect to RRH-terminal association, channel estimation duration, PS ratios and power allocation (PA) is designed. The designed problem is proved to be a mixed-inter nonlinear programming with combinatorial variables, which is generally hard to solve due to its NP-hardness. To this end, a hierarchical iterative algorithm is developed by utilising decomposition technique. Moreover, the convergence and computational complexity of this algorithm are analysed as well. Numerical results manifest the feasibility and effectiveness of this algorithm, and also show that it can achieve the maximum downlink ergodic sum capacity for massive distributed antenna systems with SWIPT protocol.
Year
DOI
Venue
2021
10.1049/cmu2.12079
IET COMMUNICATIONS
DocType
Volume
Issue
Journal
15
3
ISSN
Citations 
PageRank 
1751-8628
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
wenfeng sun101.69
Chen Liu2289.17
Mujun Qian302.37
Shu Xu401.69
Yan Chen500.34