Open AccessCross‐Layer Resource Allocation in Multi‐interface Multi‐channel Wireless Multi‐hop Networks
Author(s) -
Feng Wei,
Feng Suili,
Zhang Yongzhong,
Xia Xiaowei
Publication year - 2014
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.14.0113.1150
Subject(s) - maximum throughput scheduling , computer science , power control , scheduling (production processes) , computer network , network congestion , distributed computing , wireless network , channel allocation schemes , utility maximization , cross layer optimization , max min fairness , channel (broadcasting) , flow control (data) , mathematical optimization , wireless , resource allocation , dynamic priority scheduling , power (physics) , round robin scheduling , quality of service , network packet , mathematics , physics , telecommunications , mathematical economics , quantum mechanics
In this paper, an analytical framework is proposed for the optimization of network performance through joint congestion control, channel allocation, rate allocation, power control, scheduling, and routing with the consideration of fairness in multi‐channel wireless multi‐hop networks. More specifically, the framework models the network by a generalized network utility maximization (NUM) problem under an elastic link data rate and power constraints. Using the dual decomposition technique, the NUM problem is decomposed into four subproblems — flow control; next‐hop routing; rate allocation and scheduling; power control; and channel allocation — and finally solved by a low‐complexity distributed method. Simulation results show that the proposed distributed algorithm significantly improves the network throughput and energy efficiency compared with previous algorithms.