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Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge
Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge
Type
Article
Authors
Shakir, Muhammad Zeeshan
Tabassum, Hina
Qaraqe, Khalid A.
Serpedin, Erchin
Alouini, Mohamed-Slim
KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Communication Theory Lab
Date
2014-12
Abstract
This paper presents a tractable mathematical framework to analyze the spectral and energy efficiency of an operator initiated deployment of the small-cells (e.g., femtocells) where the small-cell base stations are deliberately positioned around the edge of the macrocell. The considered deployment facilitates the cell-edge mobile users in terms of their coverage, spectral, and energy efficiency and is referred to as cell-on-edge (COE) configuration. The reduction in energy consumption is achieved by considering fast power control where the mobile users transmit with adaptive power to compensate the path loss, shadowing and fading. In particular, we develop a moment generating function (MGF) based approach to derive analytical bounds on the area spectral efficiency and exact expressions for the energy efficiency of the mobile users in the considered COE configuration over generalized-K fading channels. Besides the COE configuration, the derived bounds are also shown to be useful in evaluating the performance of random small-cell deployments, e.g., uniformly distributed small-cells. Simulation results are presented to demonstrate the improvements in spectral and energy efficiency of the COE configuration with respect to macro-only networks and other unplanned deployment strategies. © 2014 Elsevier B.V. All rights reserved.
Citation
Shakir, M. Z., Tabassum, H., Qaraqe, K. A., Serpedin, E., & Alouini, M.-S. (2014). Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge. Physical Communication, 13, 27–41. doi:10.1016/j.phycom.2014.04.010
Publisher
Elsevier BV
Journal
Physical Communication
DOI
10.1016/j.phycom.2014.04.010
Permanent link to this record
http://hdl.handle.net/10754/563904
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Communication Theory Lab
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
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