scholarly journals Normalized nash equilibrium for power allocation in femto base stations in heterogeneous network

2015 ◽  
Author(s):  
Arnob Ghosh ◽  
Laura Cottatellucci ◽  
Eitan Altman
Keyword(s):  
Nash Equilibrium ◽  
Power Allocation ◽  
Heterogeneous Network ◽  
Base Stations ◽  
Normalized Nash Equilibrium

The Phasmatodea Population Evolution Algorithm and Its Application in 5G Heterogeneous Network Downlink Power Allocation Problem

2021 ◽  
Vol 22 (6) ◽  
pp. 1199-1213
Author(s):  
Jeng-Shyang Pan Jeng-Shyang Pan ◽  
Pei-Cheng Song Jeng-Shyang Pan ◽  
Chun-An Pan Pei-Cheng Song ◽  
Ajith Abraham Chun-An Pan
Keyword(s):  
Power Allocation ◽  
Heterogeneous Network ◽  
Allocation Problem ◽  
Population Evolution ◽  
Evolution Algorithm

scholarly journals AWGN and Rayleigh Fading Behavior of the Wireless Decode-and-Forward Relay Channel with Arbitrary Time and Power Allocation

2018 ◽  
Vol 10 (1) ◽  
pp. 248
Author(s):  
Muhammad Zarol Fitri Khairol Fauz ◽  
Elsheikh Mohamed Ahmed Elsheikh
Keyword(s):  
Mutual Information ◽  
Power Allocation ◽  
Fading Channels ◽  
Time Allocation ◽  
Rayleigh Fading ◽  
Cellular Systems ◽  
Base Stations ◽  
Relay Channel ◽  
Decode And Forward ◽  
Half Duplex

Relying has in use for decades to tackle some of the challenges of wireless communication such as extending transmitting distance, transmitting over rough terrains. Diversity achieved through relaying is also a means to combat the random behavior of fading channels. In this work, effect of time and power allocation on relay performance is studied. The channel considered is the three-node channel with half-duplex constraint on the relay. The relaying technique assumed is decode-and-forward. Mutual information is used as the criteria to measure channel performance. There is half-duplex constraint and a total transmission power constraint on the relay source node and the relay node. A model is established to analyze the mutual information as a function of time allocation and power allocation in the case of AWGN regime. The model is extended to the Rayleigh fading scenario. In both AWGN and Rayleigh fading, results showed that the importance of relaying is more apparent when more resources are allocated to the relay. It was also shown that quality of the source to destination link has direct impact on the decision to relay or not to relay. Relatively good source to destination channel makes relaying less useful. The opposite is true for the other two links, namely the source to relay channel and the relay to destination channel. When these two channels are good, relaying becomes advantageous. When applied to cellular systems, we concluded that relaying is more beneficial to battery-operated mobile nodes than to base stations.

Predictive Methods of Always Best-Connected Networks in Heterogeneous Environment

2019 ◽  
pp. 48-64
Author(s):  
Bhuvaneswari Mariappan
Keyword(s):  
Heterogeneous Network ◽  
Blocking Probability ◽  
Base Stations ◽  
Design Parameters ◽  
Delivery Ratio ◽  
Heterogeneous Environment ◽  
Bandwidth Utilization ◽  
Call Blocking Probability ◽  
Always Best Connected ◽  
Interactive Classroom

Heterogeneous networks are comprised of dense deployments of pico (small cell) base stations (BSs) overlaid with traditional macro BSs, thus allowing them to communicate with each other. The internet itself is an example of a heterogeneous network. Presently, the emergence of 4G and 5G heterogeneous network has attracted most of the user-centric applications like video chatting, online mobile interactive classroom, and voice services. To facilitate such bandwidth-hungry multimedia applications and to ensure QoS (quality of service), always best-connected (ABC) network is to be selected among available heterogeneous network. The selection of the ABC network is based on certain design parameters such as cost factor, bandwidth utilization, packet delivery ratio, security, throughput, delay, packet loss ratio, and call blocking probability. In this chapter, all the above-mentioned design parameters are considered to evaluate the performance of always best-connected network under heterogeneous environment for mobile users.

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