Scheduling in Dense Small Cells With Successive Interference Cancellation

Hou, Ronghui; Xie, Yarong; Lui, King-Shan; Li, Jiandong

doi:10.1109/lcomm.2014.2318310

Cited by 3 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several techniques to solve interference problems for UDN such as Interference Avoidance techniques [4][5][6][7], Interference Cancellation techniques [8][9][10], and Interference Coordination techniques [11][12][13]. The fundamental idea of Interference Avoidance technique is to divide the available resources into orthogonal proportions in several dimensions such as time, frequency, space, power, code, etc.…”

Section: Wireless Communication Technology Including Wireless Cellular Communication Technologies Is Very Popularmentioning

confidence: 99%

Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network

Susanto

Hasim

Fitriawan

2021

JRE

View full text Add to dashboard Cite

Ultra-Dense Network (UDN) which is formed from femtocells densely deployed is known as one of key technologies for 5th generation (5G) cellular networks. UDN promises for increased capacity and quality of cellular networks. However, UDN faces more complex interference problems than rarely deployed femtocells, worse on femtocells that are located on cell edge area of macrocell. Therefore, mitigating or reducing effects of interferences is an important issue in UDN. This paper focuses on interference management using dynamic resource allocation for UDN. Types of interference considered in this study are cross-tier (macrocell-to-femtocell) and co-tier (femtocellto-femtocell) interferences for uplink transmission. We consider several scenarios to examine the dynamic resource allocation method for UDN in case of femtocells deployed in the whole area of microcell and in the cell edge area of macrocell. Simulation experiment using MATLAB program has been carried out. The performance parameters that are collected from the simulation are Signal to Interference and Noise Ratio (SINR), throughput, and Bit Error Rate (BER). The obtained simulation results show that system using dynamic resource allocation method outperforms conventional system and the results were consistent for the collected performance parameters. The dynamic resource allocation promises to reduce the effects of interference in UDN.

show abstract

Section: Wireless Communication Technology Including Wireless Cellular Communication Technologies Is Very Popularmentioning

confidence: 99%

Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network

Susanto

Hasim

Fitriawan

2021

JRE

View full text Add to dashboard Cite

show abstract

“…In this context, the joint detection or the widely known as group decoding techniques are considered as passive interference mitigation schemes and they are intended for the interference cancellation at the receiver side. These techniques have drawn more attention [8][9][10][11] since they show an interesting performance improvement compared to the active counterparts, due to the overwhelming feedback overhead required for active schemes.…”

Section: Introductionmentioning

confidence: 99%

Achievable rate approximation for massive MIMO with limited number of interfering clients

Abu-Ella

Elmusrati

2022

Telecommun Syst

View full text Add to dashboard Cite

Massive MIMO has become a core technology for the next generation of wireless communications, and the non-linear group decoding schemes can achieve better spectral and energy efficiency, which in turn leads to higher data rates, especially with the assistance of non-orthogonal frequency multiple access (NOMA). The purpose of this paper is to study the problems of formulating performance of such systems. In particular, this paper, closely approximates the achievable rate of large-scale MIMO systems occupied by clients (users) using the optimal successive group decoding (OSGD) scheme to mitigate the co-channel interference. In addition, we produce a simple mathematical representation to accurately approximate the outage probability of this system. We also formulate the effective capacity of the considered system in a simple way. The results obtained by the Monte Carlo simulation show the validity of the derived formulas. The findings of this paper show that increasing the number of antennas linearly increases the expected value of the achievable rate and decreases its variance. In addition, the systems capacity is increasing in a logarithmic manner with the allocated power. Also, we notice that the distribution of the random achievable rate tends to be closely approximated with log-normal distribution as the number of antennas increases.

show abstract