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Frequency-domain scheduling and rate adaptation have helped next generation orthogonal frequency division multiple access (OFDMA) based wireless cellular systems such as Long Term Evolution (LTE) achieve significantly higher spectral efficiencies. To overcome the severe uplink feedback bandwidth constraints, LTE uses several techniques to reduce the feedback required by a frequency-domain scheduler...
As the number of users increases, the amount of required feedback Channel State Information (CSI) at the base station becomes huge and prohibits the feasibility of conventional adaptive resource allocation algorithms in fairness-aware downlink OFDMA systems. Thus, this paper presents a novel mechanism making use of multi-user diversity to greatly reduce the feedback CSI while maintaining almost the...
In this paper, we propose a new limited channel feedback algorithm for Orthogonal Frequency Division Multiple Access (OFDMA) systems. The proposed method reports channel information of relative maximum and minimum points of the channel gain from users to base station (BS). Based on the feedback information, BS reconstructs the channel for all the subcarriers using linear interpolation. Compared with...
In this paper, we propose a radio resource allocation (RRA) scheme for multiuser multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing access (OFDMA) systems in order to achieve the optimal system throughput. The proposed RRA algorithm adaptively schedules 3-dimension (3-D) (space, frequency and time) slots to different users according to various channel state information...
It is well known that cross-layer scheduling can boost the spectral efficiency of multi-user OFDMA systems through multi-user selection diversity but existing designs usually have two important assumptions - users are delay-insensitive and channel state information at the transmitter (CSIT) is perfect. In practice, users have heterogeneous delay requirements and CSIT usually becomes outdated in time...
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