Dynamic Spectrum Auction and Load Balancing Algorithm in Heterogeneous Network

Author(s):  
Yan Jiang

Mobile communication plays an important role in the future of communication systems. To meet personalized and intelligent requirements, mobile communication has evolved from single wireless cellular network to heterogeneous mobile communication network, including wireless cellular network, wireless local network, and wireless personal network. In the heterogeneous communication system, to entirely fulfill the spectrum resource complementary advantages of such a heterogeneous wireless network, the spectrum resource trade algorithm has attracted tremendous research efforts. In this paper, the advantages and disadvantages of dynamic spectrum allocation and load balancing are discussed and spectrum auction takes the place of spectrum allocation to maximize the operation revenue. The authors design a joint spectrum auction and load balancing algorithm (SALB) based on heterogeneous network environment to develop a more flexible and efficient spectrum management. The simulation result shows that SALB increases the operation profit significantly.

Author(s):  
Yan Jiang

Mobile communication plays an important role in the future of communication systems. To meet personalized and intelligent requirements, mobile communication has evolved from single wireless cellular network to heterogeneous mobile communication network, including wireless cellular network, wireless local network, and wireless personal network. In the heterogeneous communication system, to entirely fulfill the spectrum resource complementary advantages of such a heterogeneous wireless network, the spectrum resource trade algorithm has attracted tremendous research efforts. In this paper, the advantages and disadvantages of dynamic spectrum allocation and load balancing are discussed and spectrum auction takes the place of spectrum allocation to maximize the operation revenue. The authors design a joint spectrum auction and load balancing algorithm (SALB) based on heterogeneous network environment to develop a more flexible and efficient spectrum management. The simulation result shows that SALB increases the operation profit significantly.


2016 ◽  
Vol 95 (2) ◽  
pp. 299-315 ◽  
Author(s):  
Mohammad Kamrul Hasan ◽  
Ahmad Fadzil Ismail ◽  
Shayla Islam ◽  
Wahidah Hashim ◽  
Bishwajeet Pandey

2018 ◽  
Vol 11 (4) ◽  
pp. 95-104
Author(s):  
Nurzati Iwani Othman ◽  
Ahmad Fadzil Ismail ◽  
Mohammad Kamrul Hasan ◽  
Khairayu Badron ◽  
Wahidah Hashim

2014 ◽  
Vol 618 ◽  
pp. 538-542
Author(s):  
Albert Asmaryan ◽  
Irina Borovik

Main achievements in load balancing algorithm in a long-term-evolution (LTE) mobile communication system are presented. As result a self-optimizing system, that could be implement in the real networks. Basic target functions, such as the signal-to-noise ratio distribution, bit error rate, energy efficiency are derived as a figure of merit. The framework is exemplified by basic investigations on load balancing technology.


2021 ◽  
Vol 47 (3) ◽  
pp. 943-952
Author(s):  
Emmanuel Bakuza ◽  
Hashimu U. Iddi ◽  
Abdi T. Abdalla

The traditional scheme for load balancing in a homogeneous Long Term Evolution (LTE) Network where User Equipment (UEs) associate to a node with the strongest received signal strength is not practical for LTE Heterogeneous Network (LTE HetNet) due to power disparity between the nodes. Therefore, dynamic Cell Range Expansion (CRE) based load-balancing schemes were employed by several scholars to address the challenges in the LTE HetNet. However, the fairness index in achieving the desired average user throughput and UE offloading effect is relatively low. In this work, an efficient load-balancing algorithm for LTE HetNet based on dynamic Cell Range Expansion (CRE) was developed to improve the fairness of the network for the desired throughput and UE offloading effect. The simulation results achieve a throughput gain improvement of up to 11%, while the fairness index improves by 6% compared to the existing algorithm. Further, the UEs offloading effect shows a significant improvement of 3% relative to the existing algorithm. Keywords: Fairness Index; Cell Range Expansion; Load Balancing; LTE Heterogeneous Network; Throughput


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