# Original solution
import sys, collections
input = sys.stdin.readline
N, D, A = [int(_) for _ in input().split()]
XH = sorted([[int(_) for _ in input().split()] for _ in range(N)])
R = collections.deque([])
bombs_ = {}
for i, xh in enumerate(XH):
    R += [xh[0] + 2 * D + 1]
    while R[0] <= xh[0]:
        bombs_[R.popleft() - 2 * D - 1] = i
while R:
    bombs_[R.popleft() - 2 * D - 1] = i + 1
bombs = {}
for i, xh in enumerate(XH):
    bombs[i] = bombs_[XH[i][0]]


class LazySegmentTree():
    def __init__(self, array, f, g, h, ti, ei):
        """
        Parameters
        ----------
        array : list
            to construct segment tree from
        f : func
            binary operation of the monoid
            T x T -> T
            T is dat
        g : func
            binary operation of the monoid
            T x E -> T
            T is dat, E is laz
        h : func
            binary operation of the monoid
            E x E -> T
            E is laz
        ti : T
            identity element of T
        ei : E
            identity element of E
        """
        self.f = f
        self.g = g
        self.h = h
        self.ti = ti
        self.ei = ei
        self.height = height = len(array).bit_length()
        self.n = n = 2**height
        self.dat = dat = [ti] * n + array + [ti] * (n - len(array))
        self.laz = [ei] * (2 * n)
        for i in range(n - 1, 0, -1):  # build
            dat[i] = f(dat[i << 1], dat[i << 1 | 1])

    def reflect(self, k):
        dat = self.dat
        ei = self.ei
        laz = self.laz
        g = self.g
        return self.dat[k] if laz[k] is ei else g(dat[k], laz[k])

    def evaluate(self, k):
        laz = self.laz
        ei = self.ei
        reflect = self.reflect
        dat = self.dat
        h = self.h
        if laz[k] is ei:
            return
        laz[(k << 1) | 0] = h(laz[(k << 1) | 0], laz[k])
        laz[(k << 1) | 1] = h(laz[(k << 1) | 1], laz[k])
        dat[k] = reflect(k)
        laz[k] = ei

    def thrust(self, k):
        height = self.height
        evaluate = self.evaluate
        for i in range(height, 0, -1):
            evaluate(k >> i)

    def recalc(self, k):
        dat = self.dat
        reflect = self.reflect
        f = self.f
        while k:
            k >>= 1
            dat[k] = f(reflect((k << 1) | 0), reflect((k << 1) | 1))

    def update(self, a, b, x):  # set value at position [a, b) (0-indexed)
        thrust = self.thrust
        n = self.n
        h = self.h
        laz = self.laz
        recalc = self.recalc
        a += n
        b += n - 1
        l = a
        r = b + 1
        thrust(a)
        thrust(b)
        while l < r:
            if l & 1:
                laz[l] = h(laz[l], x)
                l += 1
            if r & 1:
                r -= 1
                laz[r] = h(laz[r], x)
            l >>= 1
            r >>= 1
        recalc(a)
        recalc(b)

    def set_val(self, a, x):
        n = self.n
        thrust = self.thrust
        dat = self.dat
        laz = self.laz
        recalc = self.recalc
        ei = self.ei
        a += n
        thrust(a)
        dat[a] = x
        laz[a] = ei
        recalc(a)

    def get_val(self, a):
        a += self.n
        res = self.dat[a]
        while a:
            if self.laz[a] != self.ei:
                res = self.g(res, self.laz[a])
            a //= 2
        return res

    def query(self, a, b):  # result on interval [a, b) (0-indexed)
        f = self.f
        ti = self.ti
        n = self.n
        thrust = self.thrust
        reflect = self.reflect
        a += n
        b += n - 1
        thrust(a)
        thrust(b)
        l = a
        r = b + 1
        vl = vr = ti
        while l < r:
            if l & 1:
                vl = f(vl, reflect(l))
                l += 1
            if r & 1:
                r -= 1
                vr = f(reflect(r), vr)
            l >>= 1
            r >>= 1
        return f(vl, vr)


#RMQ and RAQ
array = [(xh[1], 1) for xh in XH]
f = max
g = lambda a, b: (a[0] + a[1] * b, a[1])
h = lambda a, b: a + b
ti = (-float('inf'), 0)
ei = 0

LST = LazySegmentTree(array=array, ti=ti, ei=ei, f=f, g=g, h=h)
ans = 0
for i in range(N):
    this = LST.query(i, i + 1)[0]
    if this > 0:
        c = (this - 1) // A + 1
        ans += c
        LST.update(i, bombs[i], -A * c)
print(ans)


# Optimized solution
import sys, heapq
input = sys.stdin.readline
N, D, A = [int(_) for _ in input().split()]
XH = [[int(_) for _ in input().split()] for _ in range(N)]
He = [[2 * x, h, 0] for x, h in XH]
heapq.heapify(He)
now = 0
ans = 0
while He:
    x, h, t = heapq.heappop(He)
    if t:
        now -= h
    else:
        if h - A * now > 0:
            diff = (h - A * now - 1) // A + 1
            now += diff
            ans += diff
            heapq.heappush(He, [x + 4 * D + 1, diff, 1])
print(ans)