Abstract
We study transmission delay minimization of a wireless powered communication (WPC) system in a point-to-point scenario with one hybrid access point (HAP) and one WPC node. In this type of communications, the HAP sends energy to the node at the downlink (DL) for a given time duration and the WPC node harvests enough radio frequency power. Then, at the uplink (UL) channel, the WPC node transmits its collected data in a given time duration to the HAP. Minimizing such round trip delay is our concern here. So, we have defined four optimization problems to minimize this delay by applying the optimal DL and UL time durations and also the optimal power at the HAP. These optimization problems are investigated here with thorough comparison of the obtained results. After that, we extend our study to the multiuser case with one HAP and K nodes and two different optimization problems are studied again in these cases.
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Appendices
Appendix 1: convergence of (9)
We introduce a continuous and differentiable function \(z_1(x)\) over \((0,\infty )\) as
with \(a_0>0,\,m>0\) and redefine (9) as
and we prove that for \(m>2\), \(\overline{\textsf {TD}}_1\) and \(\overline{\textsf {TD}}_2\) are convergent and so does \(\overline{\textsf {TD}}\).
For convergence testing of \(\overline{\textsf {TD}}_1\), we choose the comparison function \(p_1(x)\) as
such that
The limit comparison test [48] says that \(\overline{\textsf {TD}}_1\) converges if and only if \(\int _0^1p_1(x)dx\) converges. We now use the direct comparison test (some times called p-test) for the convergence of \(\int _0^1p_1(x)dx\), which says that \(\int _0^1p_1(x)dx\) is a type II improper integral and converges if and only if \(3-m<1\). Therefore, choosing \(m>2\) leads to the convergence of \(\overline{\textsf {TD}}_1\) as well.
Then, for testing \(\overline{\textsf {TD}}_2\), from the Taylor expansion of \({\text {e}}^{mx}\) at large x, we know that
So, for large x we can write
\(\int _{1}^{\infty }q_1(x)\) is a type I improper integral which is always convergent. Therefore, \(\overline{\textsf {TD}}_2\) is convergent too.
Finally, we can conclude that choosing \(m>2\) leads to the convergence of \(\overline{\textsf {TD}}_1\) and \(\overline{\textsf {TD}}_2\) and consequently \(\overline{\textsf {TD}}\).
Appendix 2: derivation of (12) and (13)
Using Lagrangian method, the cost function is written as
where \(\lambda \ge 0\), \(\mu \ge 0\) represent the Lagrange multipliers corresponding to the constraints (11a) and (11b) respectively. Taking the partials with respect to \(T_0\) and \(\beta \), we obtain
and
Now, we have to find \(T_0^*\), \(\beta ^*\), \(\lambda ^*\) and \(\mu ^*\) such that
From (46a), we can conclude that \(\lambda ^*\ne 0\) and then from (46b), we find that \(\mu ^*\ne 0\). Therefore, we can rewrite (46) as
From (47a), we write \(\lambda ^*\) in term of \(\beta ^*\) and from (47b) we write \(T_0^*\) in term of \(\beta ^*\) and insert them into (47c) to obtain
Finally, (48) can be solved according to
where \({{\mathscr {W}}}_0(.)\) represents Lambert-W function [42]. Then, by inserting (49) into (47c), \(T_0^*\) is attained and \(\mu ^*\) is calculated from (47d).
Appendix 3: convergence of (14) and (15)
The proof is similar to “Appendix 1” and we explain the process for both (15) and (14) respectively. First we use \(z_2(x)\)
over \((0,\infty )\) with \(c_{21}>0,\,c_{22}>0\) and redefine (15) as
Regarding the Taylor expansion of \({{\mathscr {W}}}_0(x)\) near 0 as [42]
and in a quite similar way to the “Appendix 1”, we can find that \(\overline{\textsf {TD}}\) in (15) is convergent when \(m>1\).
Now, we go on to the proof of convergence for (14) and introduce \(z^\prime _2(x)\) as
then redefine (14) as
\(I_1\) is a type II improper itegral and we can choose comparison function \(p^{\prime }_{21}(x)=\dfrac{x^{m-1}}{a_0x^2}=\dfrac{1}{a_0x^{3-m}}\) such that
so, using the limit comparison test [48], we find that \(I_1\) is convergent when \(m>2\). Again, \(I_2\) is a type I improper integral and we know that for large x, \({\text {e}}^{{\mathscr {W}}_0(x)}<x\) [42]. Therefore,
So, \(I_2\) is always convergent and does not depend on m. In a similar way, \(I_3\) is a type II improper integral and it is convergent for \(m>2\) and \(I_4\) is a type I improper integral, but always convergent.
Finally, we can conclude that choosing \(m>2\), leads to the convergence of both (14) and (15).
Appendix 4: derivation of (23), (24) and (25)
The cost function can be written as
where \(\lambda \ge 0\), \(\mu \ge 0\) represent the Lagrange multipliers corresponding to the constraints (22a) and (22b) respectively. Taking the partials with respect to \(T_1\), \(T_2\) and \(\beta \), we will have
and
Now, we have to find \(T_1^*\), \(T_2^*\), \(\beta ^*\), \(\lambda ^*\) and \(\mu ^*\) such that
From (61a), we can conclude that \(\lambda ^*\ne 0\) and then from (61c), we find that \(\mu ^*\ne 0\). Therefore, we can rewrite (61) as
where \(\tau ^*=T_1^*/T_2^*\). From (62a), we write \(\lambda ^*\) in term of \(\beta ^*\) and \(\tau ^*\) to reduce the equations as
Moreover from (63c) we solve \(T_2^*\) in term of \(\beta ^*\) and \(\tau ^*\). Therefore we will have
Next, from (64a) and Lambert-W function definition [42], we can write
and insert it into (64b) to obtain (23). In addition, \(\mu ^*\) is calculated from (64c). Then, \(\tau ^*\) is derived from (65) as
and \(T_2^*\) is obtained from (63b) as
Now, we can use (66) and (67) to extract (24) and (25) respectively.
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Lari, M. Transmission delay minimization in wireless powered communication systems. Wireless Netw 25, 1415–1430 (2019). https://doi.org/10.1007/s11276-018-1778-0
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DOI: https://doi.org/10.1007/s11276-018-1778-0