scholarly journals Multi-RAT Orchestration Method for Heterogeneous Wireless Networks

2021 ◽  
Vol 11 (18) ◽  
pp. 8281
Author(s):  
Dariusz Więcek ◽  
Igor Michalski ◽  
Krzysztof Rzeźniczak ◽  
Dariusz Wypiór
Keyword(s):  
Energy Efficiency ◽  
Wireless Networks ◽  
Mobile Networks ◽  
Software Defined Radio ◽  
Heterogeneous Wireless Networks ◽  
Mobile Terminal ◽  
Radio Access Technology ◽  
User Terminal ◽  
Radio Access ◽  
High Level

Currently, energy efficiency (EE) of wireless communication is essential where many wireless networks with different Radio Access Technologies (RATs) coexist together. The RATs can be effectively selected and managed on a higher level to achieve maximum EE and save energy, e.g., save batteries. The approach to wireless traffic steering in mobile networks with a proof-of-concept solution is presented in this paper, owing to the developed high-level multi-RAT (multi-Radio Access Technology) heterogonous network orchestration approach. Based on the high-level network orchestrator, which traces network indicators, it is possible to decrease the user mobile terminal energy consumption, keeping traffic speed at an adequate level. The solution discussed was implemented in an experimental testbed with Software Defined Radio transmission systems. Downlink and uplink data links were toggled among different RATs according to the decisions that were taken by the end-to-end multi-RAT orchestrator based on the received proper network traffic-related indicators. The authors focused on finding an adequate algorithm that allowed for reduced power usage in the user terminal and made the attempt to verify how to reach the power reduction without introducing RAT-specific rules. The results showed that the proposed orchestration EE reduction was observed (from 11% to 42% for two different scenarios) in relation to the single LTE network deployment. The orchestration compared to the Wi-Fi network does not provide EE gain (−7% and 0%, respectively), but allows the user to achieve a higher data rate (23% and 39% gain, respectively), thus keeping the energy efficiency at almost the same level.

scholarly journals An SMDP-Based initial radio access technology selection method for heterogeneous wireless networks

2021 ◽  
Author(s):  
Kazi R Islam
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Heterogeneous Wireless Networks ◽  
Technology Selection ◽  
Service Request ◽  
Radio Access Technology ◽  
Radio Access ◽  
Flexible Architecture ◽  
Consumption Cost ◽  
Rat Selection

Heterogeneous Wireless Networks (HetNets) are a class of networks that have been designed to provide an open and flexible architecture for the coexistence of various distinct Radio Access Technologies (RATs). In such networks, one of the key challenges is the selection of the best available RATs when a user is connected upon making an incoming service request. This thesis proposes a Joint Call Admission Control (JCAC) - based approach for initial RAT selection in HetNets composed of two co-located wireless networks . The RAT selection problem in such HetNet is formulated by using a JCAC-based Semi-Markov Decision Process (SMDP) model, where the JCAC policy is determined according to a network cost function that weights three parameters: a cost of blocking the incoming service request, a cost of accessing RAT, and the RAT energy consumption cost. Simulation results are provided, showing the benefits of our approach in terms of RAT selection and resulting network energy consumption cost .

scholarly journals An Optimal Initial Radio Access Technology Selection Method for Heterogeneous Wireless Networks

2021 ◽  
Author(s):  
Mizanur Rahman
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Geographical Area ◽  
Technology Selection ◽  
System Capacity ◽  
Iteration Algorithm ◽  
Value Iteration ◽  
Radio Access Technology ◽  
Radio Access ◽  
Markov Decision

In Heterogeneous Wireless Networks, different overlapped Radio Access Technologies (RATs) can coexist with each other in the same geographical area. In such environment, a challenge is to select in which available RATs a user can be connected upon making an incoming service request. In this thesis, this challenge is investigated by proposing a Joint Call Admission Control (JCAC) -based approach that uses the framework of Semi-Markov Decision Process for initial RAT selection in two co-located wireless networks supporting two different service classes. The optimization problem involves the design of a cost function that weights the blocking cost and the energy consumption cost. The JCAC optimal policy is derived using the Value Iteration Algorithm. Simulations results show that the system capacity is maximized while selecting the less energy consuming RAT.

scholarly journals An SMDP-Based initial radio access technology selection method for heterogeneous wireless networks

2021 ◽  
Author(s):  
Kazi R Islam
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Heterogeneous Wireless Networks ◽  
Technology Selection ◽  
Service Request ◽  
Radio Access Technology ◽  
Radio Access ◽  
Flexible Architecture ◽  
Consumption Cost ◽  
Rat Selection

Heterogeneous Wireless Networks (HetNets) are a class of networks that have been designed to provide an open and flexible architecture for the coexistence of various distinct Radio Access Technologies (RATs). In such networks, one of the key challenges is the selection of the best available RATs when a user is connected upon making an incoming service request. This thesis proposes a Joint Call Admission Control (JCAC) - based approach for initial RAT selection in HetNets composed of two co-located wireless networks . The RAT selection problem in such HetNet is formulated by using a JCAC-based Semi-Markov Decision Process (SMDP) model, where the JCAC policy is determined according to a network cost function that weights three parameters: a cost of blocking the incoming service request, a cost of accessing RAT, and the RAT energy consumption cost. Simulation results are provided, showing the benefits of our approach in terms of RAT selection and resulting network energy consumption cost .

scholarly journals Radio Access Technology (RAT) Selection Mechanism using TOPSIS Method in Heterogeneous Wireless Networks (HWN)

2018 ◽  
Vol 12 (2) ◽  
pp. 852
Author(s):  
Farhat Anwar ◽  
Mosharrof Masud ◽  
Burhan Ul Islam ◽  
Rashidah Funke Olanrewaju
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Topsis Method ◽  
Access Technology ◽  
Call Admission ◽  
Radio Access Technology ◽  
Radio Access ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Rat Selection

<p>In next-generation wireless networks, a Multi-Mode Device (MMD) can be connected with available Radio Access Technology (RAT) in a Heterogeneous Wireless Network (HWN). The appropriate RAT selection is essential to achieve expected Quality of Service (QoS) in HWN. There are many factors to select an appropriate RAT in HWN including Data rate, Power consumption, Security, Network delay, Service price, etc. Nowadays, the MMDs are capable to handle with multiple types of services like voice, file downloading, video streaming. Considering numerous factors and multiple types of services, it is a great challenge for MMDs to select the appropriate RAT. A Multi-Attribute Decision Making (MADM) method to deal with numerous attributes to achieve the expected goal is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This research utilized TOPSIS method to evaluate its proposed algorithm to choose the proper RAT for single and dual call services. The algorithm applies users' preference of a specific RAT that varies for diverse categories of calls. It also aggregates the assigned call weight and call priority to choose the RAT for group call admission for different scenarios. The highest closeness coefficient has been considered the appropriate networks among other networks. 100 call admission into three networks has been simulated and has been observed.</p>

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