Open AccessEnergy efficient cooperative multicast beamforming in ultra dense networks
Author(s) -
Marabissi Dania,
Bartoli Giulio,
Fantacci Romano,
Micciullo Luigia
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0618
Subject(s) - multicast , beamforming , computer science , benchmark (surveying) , computational complexity theory , efficient energy use , mathematical optimization , computer network , distributed computing , algorithm , telecommunications , mathematics , engineering , electrical engineering , geodesy , geography
Energy efficiency (EE) is one of the main requirements for future fifth generation wireless networks to allow a sustainable network development. Toward this goal, this study proposes a novel iterative algorithm to maximise the EE of multicast services in ultra dense networks. Macrocells and small cells cooperate using a multicast beamforming strategy to efficiently radiate the power in the considered area. Moreover, small cells are activated opportunistically, and their power levels are adjusted suitably. Due to the high complexity of the optimisation problem, the proposed algorithm works calculating iteratively beamforming weights and power adjustments, thus reducing the set of possible solutions. Then, an exhaustive search is performed among the elements of this restricted set. This solution has reduced computational complexity, and the achieved EE is higher than benchmark alternatives. Performance in terms of EE and complexity is provided together with a solution feasibility evaluation.