Paper Info
Title
Deployment Of 5g Networking Infrastructure With Machine Type Communication Considerations
Abstract
Designing optimal strategies to deploy small cell stations is crucial to meet the quality-of-service requirements in next-generation cellular networks with constrained deployment costs. In this paper, a general deployment framework is proposed to jointly optimize the locations of backhaul aggregate nodes, small base stations, machine aggregators, and multi-hop wireless backhaul links to accommodate both human-type and machine-type communications. The goal is to provide deployment solutions with best coverage performance under cost constraints. The formulated problem is shown to be a multi-objective integer programming for which it is challenging to obtain the optimal solutions. To solve the problem, a heuristic algorithm is proposed by combining Lagrangian relaxation, the weighted sum method, the epsilon-constraint method and tabu search to obtain both the solutions and bounds, for the objective function. Simulation results show that the proposed framework can provide solutions with better performance compared with conventional deployment models in scenarios where available fiber connections are scarce. Furthermore, the gap between obtained solutions and the lower bounds is quite tight.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511243
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
DocType
Volume
ISSN
Conference
abs/1602.06167
1550-3607
Citations 
PageRank 
References 
4
0.40
11
Authors
5
Name
Order
Citations
PageRank
Xiang Xu1305.58
Walid Saad24450279.64
Xiujun Zhang315918.75
limin xiao4508.77
Shidong Zhou51098120.74