scholarly journals Advanced mobility management for reduced interference and energy consumption in the two-tier LTE-Advanced network

2015 ◽  
Vol 76 ◽  
pp. 90-111 ◽  
Author(s):  
Dionysis Xenakis ◽  
Nikos Passas ◽  
Lazaros Merakos ◽  
Christos Verikoukis
Author(s):  
Kengo Yagyu ◽  
Takeshi Nakamori ◽  
Hiroyuki Ishii ◽  
Mikio Iwamura ◽  
Nobuhiko Miki ◽  
...  

Author(s):  
Prashant Kallappa Wali ◽  
Amudheesan Aadhithan N ◽  
Debabrata Das

Mobile operators are showing a growing concern for energy efficiency in cellular networks in the recent past not only to maintain profitability, but also to tackle the overall environment effects. Such a trend is motivating the standardization bodies, network operators and researchers to aggressively explore techniques to reduce the energy consumption in the network. This trend has stimulated the interest of researchers in an innovative new research area called green cellular networks which is a vast research discipline that needs to cover all the layers of the protocol stack and various system architectures. Since Long Term Evolution-Advanced (LTE-A), which promises better support to richer applications, is fast emerging as the next generation cellular network standard and expected to aggravate the energy consumption problem, various techniques have been proposed and researched to improve its energy efficiency. This chapter discusses three link level techniques that attempt to reduce the energy consumption of a LTE-A cell with intelligent MAC layer algorithms.


2011 ◽  
Vol E94-B (12) ◽  
pp. 3335-3345 ◽  
Author(s):  
Kengo YAGYU ◽  
Takeshi NAKAMORI ◽  
Hiroyuki ISHII ◽  
Mikio IWAMURA ◽  
Nobuhiko MIKI ◽  
...  

2021 ◽  
Vol 39 (4) ◽  
pp. 1169-1182
Author(s):  
A.A. Periola ◽  
E. Obayiuwana

Intent based networks enable auto-configuration and require low latency access to cloud platforms. The use of cloud platforms incurs high operational costs. Low latency access can be realized by siting data centres close to subscribers. This paper proposes aquaria data centers with low operating costs and latency. In LTE, cloud platforms are normally accessed via the packet network gateway reachable via the serving gateway and mobility management entity. Aquaria data centers are sited close to LTE subscribers and accessed via the mobility management entity. This reduces the size of control packets in the LTE network. Simulations show that the proposed architecture reduces the size of control packets by up to 49.7% and 99.3% when header packets are uncompressed and compressed respectively. The delay associated with receiving configuration information is reduced by 50% on average. The channelcapacity is enhanced by up to 22.8% on average. Keywords: Data centers, LTE-Advanced, Peak Age of Information, Channel Capacity, Header (Control) Packet


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