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End date: 2019Institution Author: search.filters.institutionAuthor.Özbek, Berna

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  • Article
    Citation - WoS: 6
    Citation - Scopus: 9
    Adaptive Limited Feedback Links for Cooperative Multi-Antenna Multicell Networks
    (Springer Verlag, 2014) Özbek, Berna; Ruyet, Didier Le
    The overall performance of cooperative networks is quite sensitive to channel state information (CSI) of serving and interfering base stations (BSs) and affected strongly by quality of limited feedback links. In this paper, we propose two adaptive limited feedback strategies for intercell interference cancelation in multi-antenna multicell networks. The first proposed strategy is developed to improve average multicell capacity assuming a fixed rate feedback link. This algorithm is based on adaptation of the number of bits to quantize CSI of serving and interfering BSs according to transmitter power and location of the user in its own cell. The second proposed strategy is designed in a way to increase average capacity of cell-edge users assuming an adaptive rate feedback link. This algorithm is based on the idea of allocating more bits to quantize CSI of users at cell-edge regions while allocating less bits for users near the serving BS. We illustrate performance of the proposed feedback links for downlink cooperative multi-antenna multicell networks in wireless channels.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 7
    Adaptive Reduced Feedback Links for Distributed Power Allocation in Multicell Miso-Ofdma Networks
    (IEEE Computer Society, 2014) Özbek, Berna; Le Ruyet, Didier; Pischella, Mylene
    For multi-antenna Orthogonal Frequency-Division Multiple Access (OFDMA) based multicell networks, the channel state information (CSI) of all users is required to share among base stations in order to perform distributed power allocation. However, the amount of feedback increases with the number of users, base stations, subcarriers and antennas. Therefore, it is important to perform a selection at the user side to reduce the feedback load and the complexity of resource allocation. In this letter, we propose adaptive reduced feedback links by choosing the users based on their approximate signal to interference noise ratio (SINR) and their locations in the cell to satisfy users' rate constraints. We illustrate the performance results of reduced feedback links by employing distributed resource allocation with link adaptation.