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Table 1 Summary of main symbols and functions used throughout the paper

From: On muting mobile terminals for uplink interference mitigation in HetNets—system-level analysis via stochastic geometry

Symbol/function

Definition

2F1(·,·,·,·)

Gauss hypergeometric function

\(\mathcal {K} = \left \{ {1,2} \right \}\)

Tier set: tier 1 is related to macro BSs, and tier 2 is related to small cell BSs

\(\tilde j = \left \{ {k \in \mathcal {K}:k \ne j} \right \}\)

Complementary tier, i.e., \(\tilde 1~=~2\) and \(\tilde 2~=~1\)

Φ(j),λ(j)

PPP and its density related to the locations of macro (j = 1) and small cell BSs (j = 2)

λ MT

Density of the PPP of MTs’ positions

Φ,λ

PPP and its density related to the locations of all BSs

t ( j)

Association weight for tier j

i0,p0,ε,pmax

Interference threshold, target receive power, partial compensation factor, and maximum transmit power

τ,α

Path loss slope and path loss exponent

MT0,MTi

Position of the probe MT and position of a generic MT, e.g., an interfering MT

Ψ ( k)

PPP of interfering MTs’s locations

\(R_{x,(q)}^{(j)}\)

Distance (including shadowing) between location x and the qth nearest BS from tier j

\(\phantom {\dot {i}\!}R_{{\text {MT}}_{\mathrm {i}}},U_{{\text {MT}}_{\mathrm {i}}},D_{{\text {MT}}_{\mathrm {i}}}\)

Distances (including shadowing) between MTi and its serving BS, its most interfered BS and the probe BS

\(\phantom {\dot {i}\!}H_{{\text {MT}}_{\mathrm {i}}}\)

Power gain of the multi-path fading which is exponentially distributed

pMT(r)=p0(τr)αε

Transmit power for a given distance towards the serving BS for active MTs. Muted MTs has 0 transmit power

\(\sigma _{n}^{2},I\)

Noise power and aggregate interference according to Assumption 1

\(\mathcal {X}_{{\text {MT}}_{i}}^{(j)}\)

Event defined as MTi is associated with tier j

\(\mathcal {Q}_{{\text {MT}}_{i}}^{(m)}\)

Event defined as the most interfered BS of MTi belongs to tier m

\(\mathcal {X}_{{\text {MT}}_{i}}^{(j,m)}\)

Event defined as MTi is associated with tier j and the most interfered BS of MTi belongs to tier m

\(\mathcal {A}_{{\text {MT}}_{i}}\)

Event defined as MTi is active, i.e., non-muted

\(\overline {\mathcal {A}_{{\text {MT}}_{i}}}\)

Event defined as MTi is muted

\(\mathcal {O}_{{\text {MT}}_{i}}^{(j,k)}\)

Event defined as the interfering MTi of tierk receives higher weighted average power

 

from its serving BS than from the probe BS that belong to tier j

\(\mathcal {Z}_{{\text {MT}}_{i}}\)

Event defined as the interfering MTi causes a level of interference less than i0 to the probe BS

fX(·)

PDF (Probability Density Function) of random variable X

\(\bar F_{X} (\cdot)\)

CCDF (Complementary Cumulative Distribution Function) of random variable X

\({\mathcal {L}}_{X} (\cdot)\)

Laplace transform of random variable X

f(x0),f′′(x0)

First and second derivatives of function f(x) evaluated at x=x0

\(\mathbb {E}\left [\cdot \right ],\Pr \left (\cdot \right),{\bf {1}}\left (\cdot \right)\)

Expectation operator, probability measure and indicator function

Γ(z), Γ(a,z)

Euler gamma function and incomplete gamma function