Adaptive multi-user resource allocation using DFT-precoded OFDM

Conference: SCC'08 - 7th International ITG Conference on Source and Channel Coding
01/14/2008 - 01/16/2008 at Ulm, Germany

Proceedings: SCC'08

Pages: 6Language: englishTyp: PDF

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Wu, Hanguang; Haustein, Thomas (Nokia Siemens Networks, COO RTP PT Radio System Technology, Germany)

In this paper we investigate resource allocation for an uplink DFT-precoded OFDMA system, a subset of which is agreed on to be used in the Third Generation Partnership Project-Long Term Evolution (3GPP-LTE) uplink. Different from the well studied OFDMA resource allocation problem, each user is assigned a set of sub-channels, within which individual power allocation per sub-channel basis is unfavorable due to the additional added complexity and possibly high peak to average power ratio of the resulting waveform. We assume a widely used linear equalizer at the receiver and formulate the problem as the sub-channel allocation problem for OFDMA with equal gain power allocation. Furthermore, we present an optimum resource allocation algorithm for the single user case and a heuristic adaptive algorithm for the multi-user case that can efficiently allocate resources for DFT-precoded OFDMA system.