Block Modulation for Interference Management in Heterogeneous Wireless Networks

Ayyar, Arun; Balakrishnan, Hari; Thangaraj, Andrew; Nagarajan, V.; Giridhar, K.

doi:10.1109/jstsp.2012.2189095

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…In the physical layer, the downlink co-channel interference can be modeled as an interference channel. Based on this observation, an interference canceling block modulation scheme was proposed in [7], in which interference can be canceled successively since the covariance matrix of the interference is designed to be rank deficient at each receiver. In [8,9], joint detection algorithms and maximum-likelihood based local detections were proposed.…”

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confidence: 99%

Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks

Dong

Chen

Fan

et al. 2016

IEEE Trans. Wireless Commun.

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To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of users in each small cell can change dramatically due to users' mobility, resulting in random and time varying uplink interference. This paper considers the uplink interference in a 5G heterogeneous network which is jointly covered by one macro cell and several small cells. Based on the L\'{e}vy flight moving model, a mobility-aware interference model is proposed to characterize the uplink interference from macro cell users to small cell users. In this model, the total uplink interference is characterized by its moment generating function, for both closed subscriber group (CSG) and open subscriber group (CSG) femto cells. In addition, the proposed interference model is a function of basic step length, which is a key velocity parameter of L\'{e}vy flights. It is shown by both theoretical analysis and simulation results that the proposed interference model provides a flexible way of evaluating the system performance in terms of success probability and average rate.Comment: 14 pages,12 figure

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confidence: 99%

Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks

Dong

Chen

Fan

et al. 2016

IEEE Trans. Wireless Commun.

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“…High‐density network topology has been widely recognised as the main characteristic of next‐generation wireless communication systems [1]. One crucial paradigm can be observed in the highly researched field of heterogeneous networks (HetNets) [2]. Reducing intercell (in other words, intertier) interference (ICI) in a HetNet is crucial to its success.…”

Section: Introductionmentioning

confidence: 99%

Effects of non‐uniform quantisation on the interference mitigation using multi‐cell multiple‐input and multiple‐output‐coordinated beamforming

Chang¹,

Chang²

2016

IET Communications

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“…In order to meet the rapid data rates and higher coverage quality requirements in today's wireless communication, 3GPP proposed heterogeneous network [1] in LTE-Advanced standardization. Heterogeneous network technology not only greatly improves the efficiency of spectrum within the coverage area, but also provides a higher data transfer rate for the end users.…”

Section: Introductionmentioning

confidence: 99%

Research on Energy Efficiency Optimization in Heterogeneous Network

Bao

Pan

2014

AMM

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The biggest challenge for heterogeneous network is co-channel interference problem, and due to the presence of interference, the system energy efficiency reduced greatly. In previous studies that use of space resources to eliminate interference between heterogeneous networks , most are based on the receiving end with a single antenna case to use zero forcing (ZF) beam-forming algorithm , however in practice the receiving end often configure multiple antennas, so this article use Block Diagonalization (BD) beam-forming algorithm to eliminate inter-cell interference after considering the coordinated multi-point transmission processing technology. This paper defines a energy efficiency metrics and convert it into a convex optimization problem by mathematical methods, and the improved energy efficiency programs is obtained ultimately.

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Block Modulation for Interference Management in Heterogeneous Wireless Networks

Cited by 5 publications

References 19 publications

Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks

Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks

Effects of non‐uniform quantisation on the interference mitigation using multi‐cell multiple‐input and multiple‐output‐coordinated beamforming

Research on Energy Efficiency Optimization in Heterogeneous Network

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