Title | ||
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A Robust Power Optimization Algorithm to Balance Base Stations' Load in LTE-A Network. |
Abstract | ||
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The explosive growth of communication device and user data has stressed the dense Long Term Evolution Advanced (LTE-A) network. In order to relieve communication congestion in high-load base stations (BSs) in the downlink network, it is necessary for network operators to balance these loads meanwhile guarantee the quality of service (QoS). In this work, a robust (Min-Max) generalized linear fractional programming (GLFP) model about power optimization under QoS constraints is established for load balancing, where signal coverage and user access are mathematically described by sigmod function and softmax function, respectively. Since GLFP is a well-known NP-hard problem, a heuristic algorithm named generalized bisection method (GBM) is proposed and its time complexity is at most (O(MN^2log frac{W}{epsilon })). Simulation results demonstrate the effectiveness and rapidity of the proposed algorithm. |
Year | Venue | Field |
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2018 | AAIM | Linear-fractional programming,Mathematical optimization,Bisection method,Softmax function,Load balancing (computing),Heuristic (computer science),Computer science,Robust optimization,Algorithm,Time complexity,LTE Advanced |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jihong Gui | 1 | 0 | 0.34 |
Wenguo Yang | 2 | 4 | 6.81 |
Suixiang Gao | 3 | 44 | 12.48 |
Zhipeng Jiang | 4 | 33 | 6.56 |