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Articles

Energy-Efficient Resource Allocation in Multicell Large-Scale Distributed Antenna System with Imperfect CSI

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Pages 772-780 | Published online: 09 Oct 2018
 

ABSTRACT

In this paper, we propose an energy-efficient resource allocation algorithm in the downlink of a multicell large-scale distributed antenna system. A non-convex optimization problem is formulated to maximize the energy efficiency (EE) of the entire network. The optimization problem considers the circuit power consumption, the minimum data rate requirements, and the maximum allowed transmit power per remote radio head. The optimization problem is transformed into an equivalent optimization problem in the subtractive form using the Dinkelbach method. An iterative algorithm for the optimization solution is proposed in which antenna selection with user scheduling and power allocation are implemented separately. To tackle this significant computational complexity, a norm-based joint antenna and the user selection algorithm that uses Tabu Search are proposed to select optimum antennas and users for transmission. Next, a Lagrangian dual decomposition method is adopted to derive a power allocation strategy that can run independently in each cell. Simulation results show that the proposed algorithm can achieve its maximum EE in several iterations, and that increasing the number of antennas or users does not necessarily result in a higher EE. In addition, the proposed iterative scheme is always able to achieve a better performance than the traditional norm-based algorithm and the simplified cloud radio access network based energy efficient power allocation scheme, no matter how many antennas or users are selected.

Additional information

Funding

This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2016R1A2B4012752).

Notes on contributors

Meha Mahajan

Meha Mahajan received her BE degree in electronics and electrical communication from Punjab Engineering College, Chandigarh, in 2004. She is currently pursuing her MS degree in electrical and computer engineering from Ajou University, South Korea. Email: [email protected]

Wonsik Yoon

Wonsik Yoon graduated with his BS degree in control and instrumentation engineering from Seoul National University in 1984. He received his MS and PhD degrees from KAIST in 1986 and 1991, respectively. From 1986 to 1994, he worked with Goldstar Electrical Company and LG Innotek, South Korea. From 2000 to 2001, he worked as the CTO at Contela Inc., South Korea. Since 1994, he has been with the Department of Electrical Engineering at Ajou University, South Korea, where he is a Professor. His research interests include wireless communications and networks, massive MIMO, and network coding. He is a senior member of IEEE.

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