基于定价的D2D通信干扰协调策略

165 浏览量更新于2024-08-28 收藏 1.22MB PDF 举报

“这篇研究论文探讨了在蜂窝网络中，基于定价的设备到设备（D2D）通信的干扰协调策略。通过设置D2D信道使用的费用，基站控制D2D对向蜂窝用户（CUs）产生的层间干扰。同时，D2D对之间通过博弈论方法分布式减轻内层干扰，直到达到纳什均衡状态。提出的策略包括了一个具有有限信号开销的实用方案，并通过与集中式方案的比较展示了其有效性。” 本文是《无线通信 Transactions on Wireless Communications》期刊2015年3月刊第14卷第3期的一篇研究论文，主要关注的是如何在蜂窝网络的D2D通信环境中，通过价格机制实现有效的干扰协调。D2D通信是一种允许设备直接通信的技术，无需通过基站作为中继，从而可以提高频谱效率和通信性能，但在实际应用中，D2D通信可能会对传统蜂窝用户（CUs）造成干扰。首先，论文提出了一种联合频谱和功率分配的定价框架，该框架由基站实施，旨在保证服务质量的同时，控制D2D通信对CUs产生的层间干扰。基站通过设定D2D信道使用的价格来调控这种干扰。这种价格机制可以促使D2D用户在经济利益和干扰控制之间找到平衡，减少对CUs的负面影响。其次，针对D2D对之间的内层干扰，论文引入了博弈论的方法进行分布式解决。D2D对在这个框架下相互竞争共享频谱资源，通过不断交互和调整，最终达到纳什均衡，即在该状态下没有一对D2D对有单独改变策略来提高自身收益的动机，从而达到整体系统干扰最小化的目标。此外，为了降低实际操作中的信号交换开销，论文还提出了一种实用方案。这个方案能够在保持有效干扰协调的同时，减少通信节点间的信号交互，降低了系统的复杂性。通过对比分析集中式干扰协调策略，论文证明了所提出的基于定价的分布式策略在保障服务质量和减少干扰方面具有显著优势。这种方法的引入，不仅有助于优化蜂窝网络中的频谱利用，而且为未来D2D通信在大规模部署时面临的干扰管理问题提供了解决思路。关键词：蜂窝网络，设备到设备通信，资源分配，干扰管理，定价策略，博弈论，纳什均衡。

YIN et al.: INTERFERENCE COORDINATION FOR D2D COMMUNICATIONS IN CELLULAR NETWORKS 1521

signal-to-interference-plus-noise ratio (SINR) at the receiver

(denoted as D2DR

) can be expressed as

SINR

k,n

(ia)

k,n

+ I

(ir)

k,n

+ N

k,n

, (1)

where p

k,n

and H

k,n

are the transmit power and the channel

gain of D2D

on subchannel n, respectively, N

k,n

is the noise

power, I

(ia)

k,n

and I

(ir)

k,n

stand for intra-layer interference and inter-

layer interference experienced by D2D pair k, respectively.

Then, accordingly, I

(ia)

k,n

≥ 0 and I

(ir)

k,n

=0 in the overlaying

mode, I

(ia)

k,n

≥ 0 and I

(ir)

k,n

≥ 0 in the underlaying mode. Ob-

viously, interference coordination for the underlaying mode

is much more complicated than that in the overlaying mode

since both intra-layer and inter-layer interference need to be

addressed to guarantee the QoS of both CUs and D2D pairs.

Therefore, we will focus on the distributed interference coordi-

nation scheme for the underlaying mode. The other scenarios

should be easy to deal with once the underlaying mode is

resolved.

In this paper, we assume only uplink channels are shared with

D2D pairs. For uplink channel reusing, the victim of inter-layer

interference at the cellular side is the BS, which is typically

capable of dealing with co-channel interference, for example,

using smart antenna techniques [19]. Thus, reusing uplink

channel in D2D layer can bring more performance gain with

less challenge than reusing the downlink resources according

to [20], [21].

If the subchannel n allocated to CU m is reused by the kth

D2D pair, then intra-layer and inter-layer interference experi-

enced on subchannel n of D2D pair k can be written as

(ia)

k,n



j=1

j=k

j,n

j,k,n

, and I

(ir)

k,n

=ˆp

m,n

m,k,n

, (2)

respectively, where

j,k,n

is the interference channel gain from

D2DT

to D2DR

on subchannel n, ˆp

m,n

is the transmission

power of CU

on subchannel n, and

m,k,n

denotes the inter-

ference channel gain from CU m to D2D pair k on subchannel

n. Since we focus on spectrum allocation and power control

in D2D layer, inter-layer interference, I

(ir)

k,n

, will be treated as

noise.

Then, with (1) and (2), the achievable data rate on D2D link

k can be expressed as

k,n

)=log



SINR

k,n



=log

⎛

⎜

⎝

k,n

⎛

⎝



j=1

j=k

j,n

j,k,n

+σ

k,n

⎞

⎠

⎞

⎟

⎠

, ∀k ∈K,

(3)

where α

j,k,n

k,n

is the normalized intra-layer interference

channel gain from D2DT

to D2DR

, σ

k,n

ˆp

m,n

m,k,n

k,n

is the normalized noise power, Γ

is a constant SINR gap,

which is based on the bit-error-rate (BER) requirement in

practical systems and can be expressed as [22]

= −

ln(5BER

)

1.5

, (4)

where BER

is the desired BER for D2D link k.

In the cellular layer, two cases will be studied. In the ﬁrst

case, we assume that the transmission power of CUs on each of

its occupied subchannels is ﬁxed while the second case is that

they can be adapted according to inter-layer interference. Since

only the uplink channels are allowed to be reused in the D2D

layer and there is no intra-layer interference, the achievable

SINR at the BS from CU m on subchannel n in the uplink

will be

SINR

m,n

ˆp

m,n



k=1

k,n

m,n

, (5)

where h

m,n

is the channel gain between CU m and the BS on

subchannel n,

k,n

is the interference channel gain between

D2D pair k and the BS,

m,n

is the received noise power at

the BS on subchannel n. Then, similar to (3), the data rate of

CU m on subchannel n can be expressed as

m,n

(ˆp

m,n

)=log

⎛

⎜

⎝

ˆp

m,n





k=1

k,n

˜α

k,n

+˜σ

m,n



⎞

⎟

⎠

, (6)

where ˜α

k,n

m,n

, ˜σ

m,n

, and

is also derived

according to (4).

III. P

RICING BASED DECENTRALIZED

INTERFERENCE COORDINATION

In this section, we will apply a pricing based game-

theoretical model to develop a decentralized joint power and

subchannel allocation framework for D2D pairs. Inter-layer

and intra-layer interference in D2D communications has to be

mitigated. Therefore, the BS, treated as a supervisor, maintains

a “price” vector θ =(θ

)

n=1

, where θ

represents the price

charged for inter-layer interference brought by D2D transmis-

sion on subchannel n. D2D pairs are treated as subordinates.

With the price vector, θ, the competition for the reuse of uplink

spectra among D2D pairs is modeled as a non-cooperative

game. When the NE is reached, the data rate requirements of

D2D pairs are satisﬁed. Therefore, in order to guarantee the

QoS of both CUs and D2D pairs, the pricing strategy at BS in

the cellular layer should be carefully designed and the sufﬁcient

conditions for the existence and uniqueness of the NE in the

game of the D2D layer should be investigated. In the following,

the non-cooperative game among D2D pairs and the pricing

strategy at the BS will be studied, respectively.

A. Non-Cooperative Game Among D2D Pairs

With the price vector, θ, the non-cooperative game for the

D2D layer is deﬁned as

G =



K, (p

)

k∈K

, (U

(θ, P))

k∈K



, (7)

剩余13页未读，继续阅读

weixin_38616359

粉丝: 8
资源: 933

基于定价的D2D通信干扰协调策略

距离受限的蜂窝网络D2D通信资源分配算法

蜂窝网络中的D2D通信技术应用探究.pdf

基于matlab的D2D 功率控制仿真

帮我生成蜂窝网络中D2D通信无线资源分配算法代码

如何在D2D通信系统中实现频谱效率的提升与通信延迟的降低？请结合《D2D通信技术详解与仿真模拟程序介绍》进行详细解答。

蜂窝与D2D异构网络资源分配的研究背景和意义

在D2D通信系统中，如何有效提升频谱效率并降低通信延迟，同时确保通信的安全性和能量效率优化？

移动终端与gsm蜂窝网络的通信模拟

p_c=20; % 蜂窝用户发射功率 w p_d=0.25; % d2d用户发射功率 w(24dbmw) 10^(24/10

最新资源