Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints

Yu, Wei; Lan, Tian

doi:10.1109/tsp.2006.890905

Cited by 756 publications

(810 citation statements)

References 23 publications

(106 reference statements)

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“…However, a total transmit power constraint might result in an unbalanced power output over the transmit antennas, which is undesirable in practical systems since each antenna is limited by the linear region of the power amplifiers in its own RF chain. Power allocation based on more practical per antenna power constraints has been considered [60].…”

Section: Main Results For the Downlink Of A Single-cell Networkmentioning

confidence: 99%

Turbo base stations

Aktas

Hanly

et al. 2011

Cooperative Cellular Wireless Networks

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IntroductionCellular communication systems provide wireless coverage to mobile users across potentially large geographical areas, where base stations (BSs) provide service to users as interfaces to the public telephone network. Cellular communication is based on the principle of dividing a large geographical area into cells which are serviced by separate BSs. Rather than covering a large area by using a single, high-powered BS, cellular systems employ many lower-powered BSs each of which covers a small area. This allows for the reuse of the frequency bands in cells which are not too close to each other, increasing mobile user capacity with a limited spectrum allocation.Traditional narrowband cellular systems require the cochannel interference level to be low. Careful design of frequency reuse among cells is then crucial to maintain cochannel interference at the required low level. The price of low interference, however, is a low frequency reuse factor: only a small portion of the system frequency band can be used in each cell. More recent wideband approaches allow full frequency reuse in each cell, but the cost of that is increased intercell interference. In both approaches, the capacity of a cell in a cellular network, with six surrounding cells, is much less than that of a single cell operating in an intercell interference-free environment. In this chapter, we survey an approach that allows the cell with neighbors to achieve essentially the same capacity as the interference-free cell.In a conventional cellular system, each mobile user is serviced by a single BS, except for the soft-handoff case -a temporary mode of operation where the mobile is moving between cells and is serviced by two base stations. A contrasting idea is to require each mobile station to be serviced by all BSs that are within its reception range. In this approach all the BSs in the cellular network are components of a single transceiver with distributed antennas, an approach known as "network multiple-input multiple-output (MIMO)."Cooperative Cellular Wireless Networks, eds.

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Section: Main Results For the Downlink Of A Single-cell Networkmentioning

confidence: 99%

Turbo base stations

Aktas

Hanly

et al. 2011

Cooperative Cellular Wireless Networks

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“…In a conventional multiuser MIMO system with the objective of maximizing the system sum-rate, BC-MAC duality was investigated for the case of a single sum-power constraint [14], [15], [25], a set of linear power constraints [15], [26], and multiple general transmit covariance constraints [23]. In the following, it will be shown shortly that the BC-MAC duality also holds for the multiuser MIMO system with the objective of maximizing the system sum-rate while minimizing the penalty term imposed on the transmit covariances.…”

Section: A the Iterative Linear Approximation (Ila) Algorithmmentioning

confidence: 99%

Sum-rate maximization in the multicell MIMO broadcast channel with interference coordination

Nguyen

Le‐Ngoc

2013

2013 IEEE International Conference on Communications (ICC)

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Abstract-This paper studies the precoding designs to maximize the weighted sum-rate (WSR) in a multicell multiple-input multiple-output (MIMO) broadcast channel (BC). We consider a multicell network under universal frequency reuse with multiple mobile stations (MS) per cell. With interference coordination (IC) between the multiple cells, the base-station (BS) at each cell only transmits information signals to the MSs within its cell using the dirty paper coding (DPC) technique, while coordinating the inter-cell interference (ICI) induced to other cells. The main focus of this work is to jointly optimize the encoding covariance matrices across the BSs in order to maximize the network-wide WSR. Since this optimization problem is shown to be nonconvex, obtaining its globally optimal solution is highly complicated. To address this problem, we consider two low-complexity solution approaches with distributed implementation to obtain at least locally optimal solutions. In the first approach, by applying a successive convex approximation technique, the original nonconvex problem is decomposed into a sequence of simpler problems, which can be solved optimally and separately at each BS. In the second approach, the WSR problem is solved via an equivalent problem of weighted sum mean squared error minimization. Both solution approaches will unfold the control signaling among the coordinated BSs to allow their distributed implementation. Simulation results confirm the convergence of the proposed algorithms, as well as their superior performances over schemes with linear precoding or no interference coordination among the BSs.

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“…Many insightful researches focus on the optimal PA for single-band multi-user downlink transmission with PCPP [9,10,14,15], where OFDMA is not considered. In [16], the joint problem is decomposed into two sub-problems: antenna-level and user-level scheduling.…”

Section: Related Studymentioning

confidence: 99%

“…Among the previous study for energy-saving in resource allocation, some researchers focus on how to minimize transmit power under constraints such as user signal-to-interference-plus-noise ratio (SINR) threshold [15]. Some studies are trying to optimize the energy efficiency [21].…”

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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Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints

Cited by 756 publications

References 23 publications

Turbo base stations

Turbo base stations

Sum-rate maximization in the multicell MIMO broadcast channel with interference coordination

Joint resource allocations for remote radio head deployments with coherent transmitter

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