Title
Improving resource efficiency with partial resource muting for future wireless networks
Abstract
We propose novel resource allocation algorithms that have the objective of finding a good tradeoff between resource reuse and interference avoidance in wireless networks. To this end, we first study properties of functions that relate the resource budget available to network elements to the optimal utility and to the optimal resource efficiency obtained by solving max-min utility optimization problems. From the asymptotic behavior of these functions, we obtain a transition point that indicates whether a network is operating in an efficient noise-limited regime or in an inefficient interference-limited regime for a given resource budget. For networks operating in the inefficient regime, we propose a novel partial resource muting scheme to improve the efficiency of the resource utilization. The framework is very general. It can be applied not only to the downlink of 4G networks, but also to 5G networks equipped with flexible duplex mechanisms. Numerical results show significant performance gains of the proposed scheme compared to the solution to the max-min utility optimization problem with full frequency reuse.
Year
DOI
Venue
2017
10.1109/WiMOB.2017.8115804
2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Keywords
Field
DocType
network elements,optimal utility,optimal resource efficiency,max-min utility optimization problem,asymptotic behavior,efficient noise-limited regime,inefficient interference-limited regime,novel partial resource muting scheme,resource utilization,future wireless networks,resource allocation algorithms,resource reuse,interference avoidance,transition point,resource budget
Wireless network,Mathematical optimization,Reuse,Resource efficiency,Computer science,Interference (wave propagation),Network element,Asymptotic analysis,Optimization problem,Telecommunications link
Conference
ISSN
ISBN
Citations 
2160-4886
978-1-5386-3840-8
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Qi Liao19712.60
Renato L. G. Cavalcante218024.21