scholarly journals Optimization Algorithm of Control Channel Selection for Wireless Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-5
Author(s):  
Jian Chen ◽  
Huahui Yu ◽  
Jingyu Hua ◽  
Xiaoyan Zhang
Keyword(s):  
Wireless Network ◽  
Channel Selection ◽  
Control Channel ◽  
Network Nodes ◽  
Data Channel ◽  
Bandwidth Requirement ◽  
Simulation Results ◽  
Selection For ◽  
Limited Spectrum ◽  
Optimal Set

Control channel is used to transmit protocol or signal information between wireless network nodes and is a key component of wireless network. Compared with data information, protocol or signal information is usually much less, so the spectrum bandwidth requirement of control channel is also much less than that of data channel. In order to optimize the usage of the limited spectrum resources, this paper focuses on the issue of control channel selection. We propose a greedy algorithm which minimizes the total spectrum bandwidth of the set of control channels. Theoretical analysis proves that the proposed algorithm can achieve the optimal set of control whose sum of the spectrum bandwidth is the minimum. Simulation results also show that the proposed algorithm consumes less spectrum resources than other algorithms in the same wireless network environment.

scholarly journals Optimal Control Channel Selection for Wireless Channel Assignment

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Sheng Zhong
Keyword(s):  
Optimal Control ◽  
Channel Assignment ◽  
Channel Selection ◽  
Wireless Channel ◽  
Control Channel ◽  
Wireless Devices ◽  
Selection For ◽  
Optimal Set

In wireless channel assignment, control channels are often needed for coordination among wireless devices. In this paper, we propose an algorithm for finding the optimal set of control channels given a number of wireless devices and the ranges of channels these devices can access.

Channel Selection for Spectrum Sharing in Wireless Networks

ETRI Journal ◽  
2016 ◽  
Vol 38 (5) ◽  
pp. 952-961
Author(s):  
Jae Cheol Park ◽  
Kyu-Min Kang ◽  
Seungkeun Park
Keyword(s):  
Wireless Networks ◽  
Spectrum Sharing ◽  
Channel Selection ◽  
Selection For

Adaptive Frequency Band and Channel Selection for Simultaneous Receiving and Sending in Multiband Communication

2019 ◽  
Vol 8 (2) ◽  
pp. 460-463 ◽  
Author(s):  
Ayaka Hanyu ◽  
Yuichi Kawamoto ◽  
Hiroki Nishiyama ◽  
Nei Kato ◽  
Naoto Egashira ◽  
...  
Keyword(s):  
Frequency Band ◽  
Channel Selection ◽  
Selection For

scholarly journals Introducing a Mobility Access Category for IEEE 802.11e

2020 ◽  
Vol 9 (5) ◽  
pp. 1610-1614
Keyword(s):  
Quality Of Service ◽  
Wireless Network ◽  
Ieee 802.11E ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Mobile Stations ◽  
Simulation Scenario ◽  
Simulation Results ◽  
The Impact

With traffic increase in a wireless network beyond its capacity and as the number of connected devices continue to grow, the quality of service (QoS) degrades. In this paper we study the impact of mobility on throughput in the case of an infrastructure wireless network using IEEE 802.11 Wi-Fi standard. Since we found in the literature that the mobility of stations can have an impact on the quality of service, we try to remedy to this by implementing a new access category reserved for mobile stations. First we compare the throughput between static and mobile nodes, both connected to a QoS station. Then we propose our new model that consists of adding a new access category used by mobile nodes regardless of their traffic category. The study was made by simulating different scenarios using Network Simulator-3 (NS-3). We found that the throughput may vary depending on the simulation scenario. The simulation results show that with the proposed solution the mobile nodes can have a better throughput.

scholarly journals Network Bandwidth Utilization Prediction Based on Observed SNMP Data

2018 ◽  
Vol 13 (1) ◽  
pp. 160-168
Author(s):  
Nandalal Rana ◽  
Krishna P Bhandari ◽  
Surendra Shrestha
Keyword(s):  
Linear Time ◽  
Arima Model ◽  
Real Data ◽  
Service Planning ◽  
Bandwidth Utilization ◽  
Network Nodes ◽  
Network Bandwidth ◽  
Bandwidth Requirement ◽  
Logit Transformation

 Bandwidth requirement prediction is an important part of network design and service planning. The natural way of predicting bandwidth requirement for existing network is to analyze the past trends and apply appropriate mathematical model to predict for the future. For this research, the historical usage data of FWDR network nodes of Nepal Telecom is subject to univariate linear time series ARIMA model after logit transformation to predict future bandwidth requirement. The predicted data is compared to the real data obtained from the same network and the predicted data has been found to be within 10% MAPE. This model reduces the MAPE by 11.71% and 15.42% respectively as compared to the non-logit transformed ARIMA model at 99% CI. The results imply that the logit transformed ARIMA model has better performance compared to non-logit-transformed ARIMA model. For more accurate and longer term predictions, larger dataset can be taken along with season adjustments and consideration of long term variations.Journal of the Institute of Engineering, 2017, 13(1): 160-168

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