Ozgun Yilmaz Bursalioglu

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Two key traits of 5G cellular networks are much higher base station (BS) densities – especially in the case of low power BSs – and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize the offloading gains and minimize the interference challenges arising from adding small cells. We consider two(More)
The performance of distributed source coding methods based on scalar quanti-zation followed by scalar entropy coding is investigated. For a fixed quantizer, the problem is converted to that of zero-error entropy coding for bipartite graphs with a special structure. It is then experimentally shown that for bipartite graphs corresponding to jointly Gaussian(More)
Two different aspects of distributed source coding is discussed. First, a previously developed distributed uniform scalar quantization method is improved by adopting non-uniform quantization. It is observed that compared to uniform quantization, the non-uniform scheme further approaches to the distortion-rate bound by 0.5 bit. Turning then to sources with(More)
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