An Improved-Water Filling Algorithm Power Allocation for DFFR Network MIMO

Authors

  • Noor Shahida M.K. Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Rosdiadee Nordin Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
  • Mahamod Ismail Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

Keywords:

Dynamic Fractional Frequency Reuse (DFFR), FFR, Network MIMO, Power Allocation, Water-Filling Algorithm,

Abstract

In wireless systems, interference is a major factor that limits the total network capacity. Power allocation is one of the effective techniques that has garnered interest in Network MIMO system and improved the efficiency of wireless systems. This study presents the development of a new power allocation algorithm based on water filling. This algorithm combines the Dynamic Fractional Frequency Reuse (DFFR) with a Network MIMO to maximise the performance of cell edge users. Simulation results show that the proposed algorithm provides more ergodic capacity, compared with the existing power allocation strategies. In addition, it improves the network throughput, while ensuring fairness for cell edge users in the LTE-A system. When the total transmit power is 100W, the proposed algorithm offers 50% capacity, 37.5% throughput and 38% fairness advantage over the conventional water-filling algorithm.

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Published

2016-12-01

How to Cite

M.K., N. S., Nordin, R., & Ismail, M. (2016). An Improved-Water Filling Algorithm Power Allocation for DFFR Network MIMO. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(9), 113–119. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1043

Issue

Vol. 8 No. 9: September - December 2016

Section

Articles

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