Abstract:Abstract-Dynamic resource allocation is an important means to increase the sum capacity of fading multiple-access channels (MACs). In this paper, we consider vector multiaccess channels (channels where each user has multiple degrees of freedom) and study the effect of power allocation as a function of the channel state on the sum capacity (or spectral efficiency) defined as the maximum sum of rates of users per unit degree of freedom at which the users can jointly transmit reliably, in an information-theoretic… Show more
“…For an isolated cell asymptotic results on the sum capacity of MIMO Multiple Access Channels with the number of receive antennas and the number of transmitters increasing to infinity were obtained by Telatar [6] and by Viswanath et al [7]. The sum capacity with perfect Channel State information available at the receiver (CSIR) was found to grow linearly with min(n r , Kn t ).…”
Capacity can be increased by exploiting the space dimension inherent to any wireless communication system. Recent information theoretic results show that simultaneous use of multiple receive and multiple transmit antennas can offer dramatic increase in capacity. In this paper each cell-site receiver and each user terminal is assumed to be equipped with multiple antennas. Then,under a per transmit antenna power constraint, a closed form expression for the optimum capacity is found using the well known Wyner's model. The results show that even one antenna per-user is enough to achieve the limit and offer an insight in the behavior of the capacity for a Gaussian cellular Multiple-access Channel (GCMAC) with MIMO in different fading environments.
“…For an isolated cell asymptotic results on the sum capacity of MIMO Multiple Access Channels with the number of receive antennas and the number of transmitters increasing to infinity were obtained by Telatar [6] and by Viswanath et al [7]. The sum capacity with perfect Channel State information available at the receiver (CSIR) was found to grow linearly with min(n r , Kn t ).…”
Capacity can be increased by exploiting the space dimension inherent to any wireless communication system. Recent information theoretic results show that simultaneous use of multiple receive and multiple transmit antennas can offer dramatic increase in capacity. In this paper each cell-site receiver and each user terminal is assumed to be equipped with multiple antennas. Then,under a per transmit antenna power constraint, a closed form expression for the optimum capacity is found using the well known Wyner's model. The results show that even one antenna per-user is enough to achieve the limit and offer an insight in the behavior of the capacity for a Gaussian cellular Multiple-access Channel (GCMAC) with MIMO in different fading environments.
“…When we have asymptotically large population of the users in the system, the system state model represents the state space of a single user and each user takes her scheduling decisions independent of the other users. Such decoupling principle has been applied in [9], [10] to solve different communication problems.…”
Abstract-We address the problem of energy efficient scheduling for the loss tolerant applications by exploiting the multiuser diversity. The proposed scheduling scheme allows dropping of a certain predefined proportion of data packets on the transmitter side. However, there is a hard constraint on the maximum number of successively dropped packets. The scheduler exploits average data loss tolerance to reduce the average system energy expenditure while fulfills the hard constraint on successively dropped packets. We analyze the scheme using asymptotically large user limit. The numerical results illustrate the energy efficiency of the scheme as a function of the average packet drop probability and the maximum permitted successively dropped packets parameters.
“…This was the case for all scenarios we evaluated. Examining the PSD found with conventional waterfilling we see that the introduction of interference into the waterfilling equation in (6) results in a power allocation at lower frequencies. This is logical since crosstalk coupling increases with frequency.…”
Section: Optimal Receiver Structurementioning
confidence: 99%
“…Provided an optimal receiver structure is used the achievable rate sum can be shown to be [6] This problem was addressed in [6] where the optimal power allocation was shown to be a vector form of waterfilling which must occur simultaneously for all users within the system. The optimal power allocation is …”
Section: Optimal Power Allocation For Macsmentioning
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