JOURNAL ARTICLE

Energy efficient resource allocation in LTE-A

Abstract

We study the resource allocation problem in LTE-A downlink transmissions. Rather than maximizing the capacity, we consider energy metrics at the BS (base station), with certain rate guarantee for each MS (mobile station). Specifically, two energy related problems are investigated. By enabling a tradeoff between the number of PRBs (physical resource blocks) and the consumed power for each MS transmission, the first problem is to minimize the total power at the BS with constant MS rate guarantee. Based on the PRB scheduling, the second problem is to change the power allocation, such that energy efficiency can be maximized by minimizing an EPG (energy-per-goodbit) metric. We propose heuristic algorithms to circumvent the optimization models. Numerical results show that significant power decrease and energy efficiency increase can be achieved by properly trading off between PRBs and power consumptions.

Keywords:
Computer science Base station Telecommunications link Efficient energy use Mathematical optimization Heuristic Scheduling (production processes) Resource allocation Metric (unit) Energy (signal processing) Transmission (telecommunications) Optimization problem Pseudorandom binary sequence Performance metric Real-time computing Computer network Algorithm Mathematics Engineering Telecommunications Binary number Electrical engineering

Metrics

5
Cited By
0.41
FWCI (Field Weighted Citation Impact)
24
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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