Load Balancing with Reduced Unnecessary Handoff in Energy Efficient Macro/Femto-cell based BWA Networks
Prasun Chowdhury, Anindita Kundu, Iti Saha Misra, Salil K Sanyal

TL;DR
This paper proposes an energy-efficient handoff algorithm for macro/femto-cell networks that reduces unnecessary handoffs and balances load, improving performance and minimizing energy waste.
Contribution
It introduces a novel handoff decision algorithm and a method to determine the balanced RSS threshold for load distribution in macro/femto networks.
Findings
The algorithm reduces unnecessary handoffs and energy consumption.
Balanced RSS threshold improves load distribution between macro and femto cells.
Numerical analysis confirms the effectiveness of the proposed method.
Abstract
The hierarchical macro/femto cell based BWA networks are observed to be quite promising for mobile operators as it improves their network coverage and capacity at the outskirt of the macro cell. However, this new technology introduces increased number of macro/femto handoff and wastage of electrical energy which in turn may affect the system performance. Users moving with high velocity or undergoing real-time transmission suffers degraded performance due to huge number of unnecessary macro/femto handoff. On the other hand, huge amount of electrical energy is wasted when a femto BS is active in the network but remains unutilized due to low network load. Our proposed energy efficient handoff decision algorithm eliminates the unnecessary handoff while balancing the load of the macro and femto cells at minimal energy consumption. The performance of the proposed algorithm is analyzed using…
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