Anders Gjendemsjø

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We consider allocating the transmit powers for a wireless multi-link (N -link) system, in order to maximize the total system throughput under interference and noise impairments, and short term power constraints. Employing dynamic spectral reuse, we allow for centralized control. In the two-link case, the optimal power allocation then has a remarkably simple(More)
A sensible design of wireless networks involves striking a good balance between an aggressive reuse of the spectral resource throughout the network and managing the resulting co-channel interference. Traditionally this problem has been tackled using a “divide and conquer” approach. The latter consists in deploying the network with a static or semi-dynamic(More)
1Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway 2Honeywell Laboratories, Minneapolis, MN 55418, USA 3Department of Electrical and Computer Engineering, Texas A&MUniversity at Qatar, P.O. Box 23874, Doha, Qatar 4 Institut Eurécom, 06904 Sophia-Antipolis, France 5Department of(More)
In wireless communications, bandwidth is a scarce resource. By employing link adaptation we achieve bandwidthefficient wireless transmission schemes. We propose a variablepower transmission scheme for slowly varying flat-fading channels using a fixed number of codes. Assuming that capacityachieving codes for AWGN channels are available, the proposed power(More)
In wireless communications, bandwidth is a scarce resource. By employing link adaptation we achieve bandwidthefficient wireless transmission schemes. Using a fixed number of codes we propose a variable-power transmission scheme for slowly flat-fading channels. Assuming that capacity-achieving codes for AWGN channels are available, we develop new combined(More)
Network-wide optimization of transmit power with the goal of maximizing the total throughput, promises significant system capacity gains in interference-limited data networks. Finding distributed solutions to this global optimization problem however, remains a challenging task. In this work, we first focus on the maximization of the weighted sum-rate(More)
We study joint optimization of transmit power and scheduling in a multicell wireless network. Despite promising significant gains, this problem is known to be NP-hard and thus difficult to tackle in practice. However, we show that this problem lends itself to analysis for large wireless networks which allows simpler modeling of inter-cell interference. We(More)
A joint source channel coder (JSCC) for image transmission over flat fading channels is presented. By letting the transmitter have information about the channel, and by letting the code-rate vary slightly around a target code-rate, it is shown how a robust image coder is obtained by using time discrete amplitude continuous symbols generated through the use(More)