A large system analysis of weighted sum rate maximization of single stream MIMO interference broadcast channels under linear precoding

Tabikh, Wassim; Slock, Dirk; Yuan-Wu, Yi

doi:10.1109/iswcs.2016.7600845

Cited by 1 publication

(2 citation statements)

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“…The term α > 0 is the amplitude scaling parameter of F BB assumed as a single constant value for brevity. It is noted that this can be set as a constant diagonal matrix of which each diagonal entity adjusts the amplitude per RRH as in [13], [30], [31], however deferred to future work. The term β > 0 is the regularization parameter of F BB .…”

Section: B Hybrid Precodingmentioning

confidence: 99%

“…For this reason, we consider RRH l inducing the largest transmit power and quantization noise, and set the optimal α as the value making RRH l use the entire transmit power budget P tot , expressed in (30). The selection of l out of L RRHs is thereby given as l = arg max l Ψ 1,l + Tr( Ql ), described as Step 2 in Algorithm 1.…”

Section: B Digital Beamformer Designmentioning

confidence: 99%

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Hybrid Precoding for Massive MIMO Systems in Cloud RAN Architecture with Capacity-Limited Fronthauls

Park,

Kim,

De Carvalho

et al. 2017

Preprint

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Cloud RAN (C-RAN) is a promising enabler for distributed massive MIMO systems, yet is vulnerable to its fronthaul congestion. To cope with the limited fronthaul capacity, this paper proposes a hybrid analog-digital precoding design that adaptively adjusts fronthaul compression levels and the number of active radio-frequency (RF) chains out of the entire RF chains in a downlink distributed massive MIMO system based on C-RAN architecture. Following this structure, we propose an analog beamformer design in pursuit of maximizing multiuser sum average data rate (sum-rate). Each element of the analog beamformer is constructed based on a weighted sum of spatial channel covariance matrices, while the size of the analog beamformer, i.e. the number of active RF chains, is optimized so as to maximize the large-scale approximated sum-rate. With these analog beamformer and RF chain activation, a regularized zeroforcing (RZF) digital beamformer is jointly optimized based on the instantaneous effective channel information observed through the given analog beamformer. The effectiveness of the proposed hybrid precoding algorithm is validated by simulation, and its design criterion is clarified by analysis.

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Section: B Hybrid Precodingmentioning

confidence: 99%

Section: B Digital Beamformer Designmentioning

confidence: 99%