Energy Efficient Radio Access Architectures for Green Radio: Large versus Small Cell Size Deployment

Badic, Biljana; O'Farrrell, T.; Loskot, Pavel; He, Jianhua

doi:10.1109/vetecf.2009.5379035

Cited by 162 publications

(103 citation statements)

References 4 publications

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“…The reduced P Opt-APC results in a smaller cell size and is consistent with the general philosophy that a higher density of smaller cells is required to provide increased traffic capacity [18]. Referring to Figure 1a it should be clear that a smaller cell will also result in an increased area power consumption and therefore a more costly, less energy efficient network.…”

Section: Transmit Power and Area Power Consumptionsupporting

confidence: 78%

Optimizing Area Power Consumption in LTE type Cells

Keenan

Villing

2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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As wireless networks evolve to deal with increasing traffic demand and an increasing number of users, energy efficiency is becoming increasingly important. Area power consumption, defined as the ratio of total radio access network power consumption to the area covered, is a key metric for comparing the energy efficiency of different network designs. This paper examines the optimization of an LTE type cell for energy efficiency by minimizing the area power consumption (APC) subject to user coverage and capacity constraints. First we show that operating the base station at the maximum transmit power (and cell size) which services all users optimizes APC. Next we show that APC is optimum when the base station operates with the minimum bandwidth necessary to service all users. Finally we show that a modified admission scheme (which increases the minimum SINR at which a user will be serviced) improves APC by increasing the maximum capacity and size of cells that can be supported. In addition to improving energy efficiency, the modified scheme requires fewer cells in new or overlay deployments and may potentially permit removal of cells from an existing network.

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Section: Transmit Power and Area Power Consumptionsupporting

confidence: 78%

Optimizing Area Power Consumption in LTE type Cells

Keenan

Villing

2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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“…However, most prior work in this area has concentrated on traditional MIMO-OFDM systems. Recently some literatures for energy-efficient techniques are related to denser deployment of BSs [22,23]. But the BSs in these studies will interfere with each other and do not cooperate as in RRH.…”

Section: Related Studymentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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To deal with the future high demands of wireless traffic and energy consumption, one type of heterogeneous deployments is to distribute the base station antennas throughout the entire cell, which is called remote radio head (RRH). In view of radio resource management, the joint resource allocation in broadband orthogonal frequency division multiple access RRH (OFDMA-RRH) has not been thoroughly studied, which includes the antenna port selection, subcarrier assignment and power allocation under the power constraints per antenna port. This article focuses on the downlink resource allocation in OFDMA-RRH, where the coherent transmitter with phase steering is used. The problem to maximize the system spectrum efficiency (SE) is formulated, and solved by a dual decomposition method, where the decomposed sub-problems in the dual domain are solved by analytic geometry. In the optimal solution, the system power is always exhaustively used. As another contribution, this article further proposes that in the optimal solution, there is a considerable part of system power which makes little contribution to the SE and thus should be saved. Specifically, the energy efficiency is analyzed for an individual subcarrier transmission. A proportional power allocation (PPA) method is proposed to achieve a local optimality for each subcarrier. By applying the PPA to every subcarrier in order to maximize the system SE, a new resource allocation problem is formulated and solved. Discussions are also presented for the proposed algorithms on the computational complexity and feasibility in multi-cell cases. Simulation results show that the optimal algorithm consumes all the system power and has good convergence. The algorithm applying PPA can effectively improves the system power efficiency while achieving the SE optimality.

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“…The results show that the cell spectral efficiency increases as the network is densified to a certain point and then saturates. In [4], the average cell spectral efficiency is shown to increase linearly with network densification in partially loaded system. The impact of macrocell densification on the network throughput and power consumption in both homogeneous and heterogeneous network environments has been studied in [5].…”

Section: Introductionmentioning

confidence: 97%