Attainable throughput of an interference-limited multiple-input multiple-output (MIMO) cellular system

Catreux, S.; Driessen, P.F.; Greenstein, L.J.

doi:10.1109/26.939839

Cited by 114 publications

(63 citation statements)

References 19 publications

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“…Then the MCCDMA symbols are transmitted through MIMO system of N t , N r antenna with channel matrix H (, t) [8], [9] as shown in Fig. 1 and system …”

Section: B Game Modelmentioning

confidence: 99%

Power Control and Sub Carrier Grouping for MCCDMA-MIMO Using Water Filling Game Theory

Sundhar¹,

Dananjayan²

2014

IJCEE

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Abstract-The capacity enhancement in Multi Carrier Code Division Multiple Access (MC-CDMA) technique with multiple antennas at both the transmitter and the receiver is achieved by restricting interference noise through power control method at transmitter. Due to time varying nature of the channel, channel fading is not identical to all sub carriers. So, the allocation of sub carriers to the users according to the instantaneous Channel State Information (CSI) is also improves the capacity of the MCCDMA system. In this paper, The maximization of capacity in MCCDMA-MIMO system is achieved through dynamic allocation of sub carriers to each user and power allocation using water filling game theory subject to the constrain of total power at transmitter. The water filling algorithm distributes power among all users with the help of SINR that is received by the transmitter instead of getting full CSI. The sub carrier group assignment is implemented by selecting best sub carriers with maximum Signal to Interference and Noise Ratio (SINR) value and user's rate requirements. The performances of capacity improvements and outage probability reduction in MCCDMA-MIMO are analyzed with various diversity sizes (SISO, 22, 44).

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“…Then the MCCDMA symbols are transmitted through MIMO system of N t , N r antenna with channel matrix H (, t) [8], [9] as shown in Fig. 1 and system …”

Section: B Game Modelmentioning

confidence: 99%

Power Control and Sub Carrier Grouping for MCCDMA-MIMO Using Water Filling Game Theory

Sundhar¹,

Dananjayan²

2014

IJCEE

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“…While the spectral efficiency gains of multiple input multiple output (MIMO) systems are significant for point-topoint links [1], they are limited in multi-user cellular networks by inter-cell co-channel interference (CCI) [2], [3]. In conventional cellular systems, CCI is partially reduced by careful radio resource management techniques such as power control, frequency reuse, and spreading code assignments [4].…”

Section: Introductionmentioning

confidence: 99%

On the Fundamentally Asynchronous Nature of Interference in Cooperative Base Station Systems

Zhang

Mehta

Molisch

et al. 2007

2007 IEEE International Conference on Communications

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Abstract-Cooperative transmission by base stations can significantly improve the spectral efficiency of multiuser, multi-cell multiple input multiple output systems. We show that in such systems the multiuser interference is asynchronous by nature, even when perfect timing-advance mechanisms ensure that the desired signal components arrive synchronously. We establish an accurate mathematical model for the asynchronism, and use it to show that the asynchronism leads to a significant performance degradation of existing linear precoding designs that assumed synchronous interference. We consider three different previously proposed precoding designs, and show how to modify them to effectively mitigate asynchronous interference.

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“…However, in such systems, the intercell cochannel interference becomes a major drawback [4], [5], [6]. Recently, the use of base station (BS) collaboration has been proposed to help mitigate this interference [7], [8], [9], [10].…”

mentioning

confidence: 99%

Transmit Power Control in MIMO Cellular Systems

King

Smith

2009

2009 Australian Communications Theory Workshop

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Abstract-It is well known that the implementation of multiple-input multiple-output (MIMO) systems in a cellular environment is hampered by the effects of inter-cell interference. In this paper we look at controlling the base station power to increase overall system capacity. We define the optimization problem and show that the sub-optimal solution, where each base station either transmits at maximum power or is switched off, is optimal in the majority of cases. We then develop a simple and practical algorithm to find a near optimal solution. Our results show that simple power control can increase system capacity significantly, especially at high transmit power levels, and with massively reduced complexity with respect to the optimal solution.

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Attainable throughput of an interference-limited multiple-input multiple-output (MIMO) cellular system

Cited by 114 publications

References 19 publications

Power Control and Sub Carrier Grouping for MCCDMA-MIMO Using Water Filling Game Theory

Power Control and Sub Carrier Grouping for MCCDMA-MIMO Using Water Filling Game Theory

On the Fundamentally Asynchronous Nature of Interference in Cooperative Base Station Systems

Transmit Power Control in MIMO Cellular Systems

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