Research on Energy Efficiency Optimization in Heterogeneous Network

Hui Bao; Pan Shi

doi:10.4028/www.scientific.net/AMM.687-691.2462

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on Energy Efficiency Optimization in...

Research on Energy Efficiency Optimization in Heterogeneous Network

Abstract:

The biggest challenge for heterogeneous network is co-channel interference problem, and due to the presence of interference, the system energy efficiency reduced greatly. In previous studies that use of space resources to eliminate interference between heterogeneous networks , most are based on the receiving end with a single antenna case to use zero forcing (ZF) beam-forming algorithm , however in practice the receiving end often configure multiple antennas, so this article use Block Diagonalization (BD) beam-forming algorithm to eliminate inter-cell interference after considering the coordinated multi-point transmission processing technology. This paper defines a energy efficiency metrics and convert it into a convex optimization problem by mathematical methods, and the improved energy efficiency programs is obtained ultimately.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

2462-2465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.2462

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Online since:

November 2014

Authors:

Hui Bao*, Pan Shi

Keywords:

BD Algorithm, Beam-Forming, Energy Efficiency, Heterogeneous Network

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References

[1] Ayyar A, Balakrishnan H R, Thangaraj A, et al. Block Modulation for Interference Management in Heterogeneous Wireless Networks[J]. Selected Topics in Signal Processing, IEEE Journal of, 2012, 6(3): 241-256.

DOI: 10.1109/jstsp.2012.2189095

Google Scholar

[2] Spencer Q H, Swindlehurst A L, Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels[J]. Signal Processing, IEEE Transactions on, 2004, 52(2): 461-471.

DOI: 10.1109/tsp.2003.821107

Google Scholar

[3] Visotsky E, Mondal B, Thomas T A, et al. Joint Scheduling for CoMP and eICIC in Heterogeneous Network Deployments[C]/Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th. IEEE, 2013: 1-5.

DOI: 10.1109/vtcspring.2013.6692613

Google Scholar

[4] Li C, Zhang J, Letaief K. Throughput and energy efficiency analysis of small cell networks with multi-antenna base stations[J]. (2013).

Google Scholar

[5] Feng D, Jiang C, Lim G, et al. A survey of energy-efficient wireless communications[J]. IEEE, 2013, 15(1): 167-178.

Google Scholar

[6] Xu Z, Yang C, Li G, et al. Energy-Efficient CoMP Precoding in Heterogeneous Networks[J]. (2014).

Google Scholar

[7] Arnold O, Richter F, Fettweis G, et al. Power consumption modeling of different base station types in heterogeneous cellular networks[C]. IEEE, 2010: 1-8.

Google Scholar