scholarly journals Distributed Association Method Assisted by Cell for Efficiency Enhancement of Wireless Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Jaesung Park

In this paper, we propose a distributed cell association scheme called cell-guided association method (CGAM) to improve the efficiency of a wireless network. In CGAM, MSs attempt to associate with their best cells. However, unlike the conventional methods, cells do not passively accept the association requests of MSs. Instead, a cell determines whether to accept an association request or not by considering the performance of MSs already associated with it and that of the requesting MS. If a cell cannot provide a certain level of service to them, it rejects the association request and guides the requesting MS to select another cell that gives the next maximum performance metric to the MS. Since our method takes the cell resource usage into consideration, it can increase the resource efficiency of a wireless network while enhancing the overall data rate provided to MSs by balancing the number of MSs in a cell. Through performance comparisons by simulation studies, we verify that CGAM outperforms maximum SINR-based method and QoS-based method in terms of the total data rate provided by a system and outage probabilities of MSs.

Author(s):  
Mrinal Das ◽  
Goutham Ponnamreddy ◽  
Umasankar Ceendhralu Baskar ◽  
Satya Ganesh Nutan Dev C

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Gongchao Su ◽  
Bin Chen ◽  
Xiaohui Lin ◽  
Hui Wang ◽  
Lemin Li

In cellular heterogeneous networks (HetNets), offloading users to small cell base stations (SBSs) leads to a degradation in signal to interference plus noise ratio (SINR) and results in high outage probabilities for offloaded users. In this paper, we propose a novel framework to solve the cell association problem with the intention of improving user outage performance while achieving load balancing across different tiers of BSs. We formulate a combinatorial utility maximization problem with weighted BS loads that achieves proportional fairness among users and also takes into account user outage performance. A formulation of the weighting parameters is proposed to discourage assigning users to BSs with high outage probabilities. In addition, we show that the combinatorial optimization problem can be reformulated as a monotone submodular maximization problem and it can be readily solved via a greedy algorithm with lazy evaluations. The obtained solution offers a constant performance guarantee to the cell association problem. Simulation results show that our proposed approach leads to over 30% reduction in outage probabilities for offloaded users and achieves load balancing across macrocell and small cell BSs.


2019 ◽  
Vol 118 (7) ◽  
pp. 27-33
Author(s):  
P.Prasanya Devi ◽  
R.S. Kannan ◽  
M. Ravindran

In this paper, we describe Wireless networks have seen unprecedented rise in their size and number of users in recent years. This unprecedented rise is attributed to the rise in the number of mobile computing devices. Moreover the amount of data that is handled by these wireless networks has increased in recent years. One such wireless network that is widely used but is still prone to attacks is WiFi. Wi-Fi protocol (IEEE 802.11), over the years has been upgraded many times, but these upgrades have mainly resulted in increase in the overall data rate of the communication. Little has been done to improve the security of the protocol. This research focuses on inherent flaws in Wired Equivalent Privacy protocol (WEP) used by the 802.11 standard, Temporal Key Integrity Protocol (TKIP) which is considered an interim solution to legacy 802.11 equipment. The demand for ubiquitous personal communications is driving the development of wireless networks that can accommodate mobile voice and data users who move throughout buildings, cities, or countries. The objective of this chapter is to provide the fundamentals of wireless networks so that the general readers can be able to easily grasp some of the ideas in this area.


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