DocumentCode
47716
Title
Energy-Aware and Rate-Aware Heuristic Beamforming in Downlink MIMO OFDMA Networks With Base-Station Coordination
Author
Venturino, Luca ; Buzzi, Stefano
Author_Institution
Dept. of Electr. & Inf. Eng., Univ. of Cassino & Southern Lazio, Cassino, Italy
Volume
64
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
2897
Lastpage
2910
Abstract
This paper addresses the problem of coordinated beamforming across a group of base stations (BSs) and frequency slots in the downlink of a multiple-input multiple-output (MIMO) orthogonal frequency-division multiple-access (OFDMA) cellular network. Three figures of merit are considered for system design under a per-BS power constraint: 1) the weighted sum of the rates (WSR) on the frequency slots of the coordinated BSs; 2) the global energy efficiency (GEE), defined as the ratio between the network sum rate and the corresponding consumed power; and 3) the weighted sum of the energy efficiencies (WSEE) on the frequency slots of the coordinated BSs. The Karush-Kuhn-Tucker (KKT) conditions of the considered optimization problems are first derived to gain insight into the structure of the optimal beamformers. Then, we propose a suboptimal design method that can be applied to all considered figures of merit. Numerical results are provided to assess the performance of the proposed beamforming strategies.
Keywords
MIMO communication; OFDM modulation; array signal processing; cellular radio; energy conservation; frequency division multiple access; optimisation; telecommunication power management; KKT conditions; Karush-Kuhn-Tucker conditions; base station coordination; downlink MIMO OFDMA cellular network downkink; energy-aware heuristic beamforming; frequency slots; global energy efficiency; multiple input multiple output system; optimization problem; orthogonal frequency division multiple access; power consumption; rate-aware heuristic beamforming; suboptimal design method; weighted sum of energy efficiency; Array signal processing; Downlink; Interference; OFDM; Optimization; Signal to noise ratio; Vectors; Base-station (BS) coordination; beamforming; cellular network; downlink; energy efficiency; linear detection; linear precoding; multiple-input multiple-output (MIMO); orthogonal frequency-division multiple access (OFDMA); spectral efficiency; sum-rate;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2014.2352713
Filename
6884817
Link To Document