Information-theoretic capacity of multi-receiver networks

Hanly, Stephen V.; Whiting, Philip

doi:10.1007/bf02136153

Cited by 151 publications

(148 citation statements)

References 7 publications

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“…The condition that the SIR equals its target value for every user (1) results in a linear system , where is the matrix given by for for (2) and is the vector of unknown transmitted powers. This constitutes the microscopic description of the network.…”

Section: Uplink Power Control Equationsmentioning

confidence: 99%

“…This constitutes the microscopic description of the network. Assuming nonsingular, the transmitted power values can be computed from , , , and in operations as follows: In [2] a macroscopic description in terms of received powers is given for the case when all target SIRs are equal. Such description is possible because in this particular case the solution gives equal received powers for all the users assigned to the same base station.…”

Section: Uplink Power Control Equationsmentioning

confidence: 99%

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On dimension reduction for the power control problem

Mendo¹,

Hernando

2001

IEEE Trans. Commun.

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Abstract-In this letter, we show how the dimension of power control equation systems can be reduced from , the number of users in the system, to , the number of cells, without any loss of generality or accuracy. Decentralized downlink power control algorithms are then presented which generalize previously proposed ones broadening the range of application while maintaining reduced complexity.Index Terms-Code-division multiple access, power control.

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Section: Uplink Power Control Equationsmentioning

confidence: 99%

Section: Uplink Power Control Equationsmentioning

confidence: 99%

On dimension reduction for the power control problem

Mendo¹,

Hernando

2001

IEEE Trans. Commun.

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“…With full frequency reuse, MS i receives interference from MSs i − 1 and i + 1, as is clear in (4.1). One could treat this interference as Gaussian noise, and use a mis-matched decoder to decode the desired signal, but information theory tells us that intercell interference can be completely eliminated via multicell processing (MCP) [23,49,59]. …”

Section: Introductionmentioning

confidence: 99%

“…On the uplink, the BSs must cooperate to jointly decode the users, whilst on the downlink, the BSs must cooperate to jointly broadcast signals to all the users in the network. This approach may appear unrealistically complex, but information-theoretic studies have highlighted the potentially huge capacity gains from such an approach [23,49,59]. In a nutshell, these works (and others) have shown that such cooperation effectively eliminates intercell interference.…”

mentioning

confidence: 99%

“…In the network of interfering cells there is no wasted interference: all received signals contain useful information. Crucially, to obtain this advantage, it is necessary for there to be intercell interference: it was shown in [23,59] that full frequency reuse in each cell is required in order to achieve the full information-theoretic capacity. This is in contrast to the conventional cellular model with single cell processing which usually requires fractional frequency reuse.…”

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confidence: 99%

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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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Quality of Service in Wireless Sensor Networks

Pottie

Pandya

2008

Algorithms and Protocols for Wireless Sensor Networks

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Information-theoretic capacity of multi-receiver networks

Cited by 151 publications

References 7 publications

On dimension reduction for the power control problem

On dimension reduction for the power control problem

Turbo base stations

Quality of Service in Wireless Sensor Networks

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