Abstract
A coalition based joint subchannel and power allocation approach is studied to improve the performance of device-to-device (D2D) communication underlaying cellular networks with uplink spectrum sharing. To exploit the spectrum reuse gain, we formulate the problem as a coalition formation game. Furthermore, a distributed coalition formation algorithm is devised to assist D2D pairs in joining or leaving a coalition. During the coalition formation process, we introduce an iterative power control method. By using this method, D2D pairs can evaluate their current coalition with D2D sum rate maximization and cellular user equipment protection. Numerical results are provided to corroborate the proposed studies.
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Notes
- 1.
We use the same set of D2D pairs as all the D2D pairs join the formulated game.
- 2.
The operator \(\left| \cdot \right| \) denotes the cardinality of a set.
- 3.
We allow the D2D pairs to switch their coalition as long as the sum rate of D2D pairs increases in exchange for sum rate of both CUE and D2D pairs rising in (Li et al. 2014).
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A The Proof of Proposition 1
A The Proof of Proposition 1
Proof
Let \(\varvec{p}\left( 1\right) \) and \(\varvec{p}\left( 2\right) \) be two different power allocation vectors. The solution to (8) can be shown as
where the operator \(\left[ x\right] _0^{p_{\max }}\) denotes the value of x is within \(\left[ 0, p_{\max }\right] \), and the \(m = 1,2\).
For a fixed price factor \(\lambda \), the difference for (13) with different power vector \(\varvec{p}{\left( 1\right) }\) and \(\varvec{p}{\left( 2\right) }\) is derived as

From (14), we prove that (13) is a non-expansive operator; therefore, we conclude that the iterative procedure will converge to the unique fixed point (Miao et al. 2011, Theorem 3) when \(\sum \limits _{j \in {D_k},j \ne i} {\frac{{h_{j,i}^k}}{{h_{i,i}^k\ln 2}}} < 1, \forall i \in D_k\).
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Dong, Y., Hossain, M.J., Cheng, J. (2017). Joint Power Control and Subchannel Allocation for D2D Communications Underlaying Cellular Networks: A Coalitional Game Perspective. In: Cheng, J., Hossain, E., Zhang, H., Saad, W., Chatterjee, M. (eds) Game Theory for Networks. GameNets 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-47509-7_13
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