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In this paper, we consider resource allocation in the 3GPP Long TermEvolution (LTE) cellular uplink, which will be the most widely deployed nextgeneration cellular uplink. The key features of the 3GPP LTE uplink (UL) arethat it is based on a modified form of the orthogonal frequency divisionmultiplexing based multiple access (OFDMA) which enables channel dependentfrequency selective scheduling, and that it allows for multi-user (MU)scheduling wherein multiple users can be assigned the same time-frequencyresource. In addition to the considerable spectral efficiency improvements thatare possible by exploiting these two features, the LTE UL allows for transmitantenna selection together with the possibility to employ advanced receivers atthe base-station, which promise further gains. However, several practicalconstraints that seek to maintain a low signaling overhead, are also imposed.In this paper, we show that the resulting resource allocation problem isAPX-hard and then propose a local ratio test (LRT) based constant-factorpolynomial-time approximation algorithm. We then propose two enhancements tothis algorithm as well as a sequential LRT based MU scheduling algorithm thatoffers a constant-factor approximation and is another useful choice in thecomplexity versus performance tradeoff. Further, user pre-selection, wherein asmaller pool of good users is pre-selected and a sophisticated schedulingalgorithm is then employed on the selected pool, is also examined. We suggestseveral such user pre-selection algorithms, some of which are shown to offerconstant-factor approximations to the pre-selection problem. Detailedevaluations reveal that the proposed algorithms and their enhancements offersignificant gains.

Multi-User Scheduling in the 3GPP LTE Cellular Uplink