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Optimal Cell Load and Throughput in Green Small Cell Networks With Generalized Cell Association
- Source :
- IEEE Journal on Selected Areas in Communications. 34:1058-1072
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- This paper thoroughly explored the fundamental interactions between cell association, cell load and throughput in a green (energy-efficient) small cell network in which all base stations form a homogeneous Poisson point process (PPP) of intensity $\lambda_B$ and all users form another independent PPP of intensity $\lambda_U$. Cell voidness, usually disregarded due to rarity in cellular network modeling, is first theoretically analyzed under generalized (channel-aware) cell association (GCA). We showed that the void cell probability cannot be neglected any more since it is bounded above by $\exp(-\lambda_U/\lambda_B)$ that is typically not small in a small cell network. The accurate expression of the void cell probability for GCA was characterized and it was used to derive the average cell and user throughputs. We learned that cell association and cell load $\lambda_U/\lambda_B$ significantly affect these two throughputs. According to the average cell and user throughputs, the green cell and user throughputs are defined respectively to reflect whether the energy of a base station is efficiently used to transmit information or not. In order to achieve satisfactory throughput with certain level of greenness, cell load should be properly determined. We presented the theoretical solutions of the optimal cell loads that maximize the green cell and user throughputs, respectively, and verified their correctness by simulation.<br />Comment: 15 pages, 8 figures
- Subjects :
- FOS: Computer and information sciences
Discrete mathematics
Computer Networks and Communications
Computer science
Information Theory (cs.IT)
Computer Science - Information Theory
05 social sciences
Real-time computing
Order (ring theory)
050801 communication & media studies
020206 networking & telecommunications
Throughput
02 engineering and technology
Quantitative Biology::Cell Behavior
0508 media and communications
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Small cell
Electrical and Electronic Engineering
Throughput (business)
Stochastic geometry
Energy (signal processing)
Intensity (heat transfer)
Power control
Subjects
Details
- ISSN :
- 15580008 and 07338716
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- IEEE Journal on Selected Areas in Communications
- Accession number :
- edsair.doi.dedup.....21d3593307672ed4e6b6c185d7520e7f