196 research outputs found
Power Control for D2D Underlay in Multi-cell Massive MIMO Networks
This paper proposes a new power control and pilot allocation scheme for
device-to-device (D2D) communication underlaying a multi-cell massive MIMO
system. In this scheme, the cellular users in each cell get orthogonal pilots
which are reused with reuse factor one across cells, while the D2D pairs share
another set of orthogonal pilots. We derive a closed-form capacity lower bound
for the cellular users with different receive processing schemes. In addition,
we derive a capacity lower bound for the D2D receivers and a closed-form
approximation of it. Then we provide a power control algorithm that maximizes
the minimum spectral efficiency (SE) of the users in the network. Finally, we
provide a numerical evaluation where we compare our proposed power control
algorithm with the maximum transmit power case and the case of conventional
multi-cell massive MIMO without D2D communication. Based on the provided
results, we conclude that our proposed scheme increases the sum spectral
efficiency of multi-cell massive MIMO networks.Comment: 6 Pages, 3 Figures, WSA 201
Interference mitigation scheme by antenna selection in device-to-device communication underlaying cellular networks
In this paper, we investigate an interference mitigation scheme by antenna selection in device-to-
device (D2D) communication underlaying downlink cellular networks. We first present the closed-form
expression of the system achievable rate and its asymptotic behaviors at high signal-to-noise ratio (SNR)
and the large antenna number scenarios. It is shown that the high SNR approximation increases with
more antennas and higher ratio between the transmit SNR at the BS and the D2D transmitter. In addition,
a tight approximation is derived for the rate and we reveal two thresholds for both the distance of the
D2D link and the transmit SNR at the BS above which the underlaid D2D communication will degrade
the system rate. We then particularize on the small cell setting where all users are closely located. In
the small cell scenario, we show that the relationship between the distance of the D2D transmitting link
and that of the D2D interfering link to the cellular user determines whether the D2D communication
can enhance the system achievable rate. Numerical results are provided to verify these results
Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory
Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization
Multi-cell interference management in In-band D2D communication under LTE-A network
Device-to-Device (D2D) communication is an active research area. As a part of this active research area, Device-to-Device (D2D) communication is largely exploited in Out-band non-cellular technologies, such as, Bluetooth or Wi-Fi network. However, it has not been fully incorporated into existing cellular networks. Interference management is the main challenge of this technology as it generates both intra and inter-cell interference resulting in severe network performance degradation. eNodeBs with high transmit power usually affects D2D user equipments (UEs) with high interference. It usually incurs severe interference to the cellular UEs and to the base station (eNB). The scenario becomes more critical in case of multi-cell environment, which is the main research focus in this paper. In order to encourage and increase frequent use of D2D communications, some changes in the network configuration are required for today’s networking scenario. Flexible multi-cell D2D communication is required to reduce the network load. Interference management techniques are necessary in parallel to make the communication smooth, efficient and effective.This paper reviews multi-cell interference in In-Band D2D communications and investigates interference mitigation techniques in scenarios where two or more similar or different devices under same eNB or from two different eNBs can be connected as a D2D pair without compromising user experience and quality of service standard. These issues cannot be guaranteed by the current applications operated on unlicensed frequency band. The research also addresses the following related issues: mode selection, resource allocation (both for cellular and D2D environment), power control (both for eNB and D2D pair), and flexible frequency allocation techniques. The research aims to look at other issues, such as, achieving high SINR, improved system capacity, better throughput and transmission rate
Interference mitigation in D2D communication underlaying LTE-A network
The mobile data traffic has risen exponentially in recent days due to the emergence of data intensive applications, such as online gaming and video sharing. It is driving the telecommunication industry as well as the research community to come up with new paradigms that will support such high data rate requirements within the existing wireless access network, in an efficient and effective manner. To respond to this challenge, device-to-device (D2D) communication in cellular networks is viewed as a promising solution, which is expected to operate, either within the coverage area of the existing eNB and under the same cellular spectrum (in-band) or separate spectrum (out-band). D2D provides the opportunity for users located in close proximity of each other to communicate directly, without traversing data traffic through the eNB. It results in several transmission gains, such as improved throughput, energy gain, hop gain, and reuse gain. However, integration of D2D communication in cellular systems at the same time introduces new technical challenges that need to be addressed. Containment of the interference among D2D nodes and cellular users is one of the major problems. D2D transmission radiates in all directions, generating undesirable interference to primary cellular users and other D2D users sharing the same radio resources resulting in severe performance degradation. Efficient interference mitigation schemes are a principal requirement in order to optimize the system performance. This paper presents a comprehensive review of the existing interference mitigation schemes present in the open literature. Based on the subjective and objective analysis of the work available to date, it is also envisaged that adopting a multi-antenna beamforming mechanism with power control, such that the transmit power is maximized toward the direction of the intended D2D receiver node and limited in all other directions will minimize the interference in the network. This could maximize the sum throughput and hence, guarantees the reliability of both the D2D and cellular connections
Distributed power allocation for D2D communications underlaying/overlaying OFDMA cellular networks
The implementation of device-to-device (D2D) underlaying or overlaying
pre-existing cellular networks has received much attention due to the potential
of enhancing the total cell throughput, reducing power consumption and
increasing the instantaneous data rate. In this paper we propose a distributed
power allocation scheme for D2D OFDMA communications and, in particular, we
consider the two operating modes amenable to a distributed implementation:
dedicated and reuse modes. The proposed schemes address the problem of
maximizing the users' sum rate subject to power constraints, which is known to
be nonconvex and, as such, extremely difficult to be solved exactly. We propose
here a fresh approach to this well-known problem, capitalizing on the fact that
the power allocation problem can be modeled as a potential game. Exploiting the
potential games property of converging under better response dynamics, we
propose two fully distributed iterative algorithms, one for each operation mode
considered, where each user updates sequentially and autonomously its power
allocation. Numerical results, computed for several different user scenarios,
show that the proposed methods, which converge to one of the local maxima of
the objective function, exhibit performance close to the maximum achievable
optimum and outperform other schemes presented in the literature
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