A Game Theoretic Model for Network pg Decisions Upgrade Sept 27, 2006 Allerton Conference John Musacchio Assistant Professor Technology gy and Information Management g University of California, Santa Cruz [email protected] Joint work with: Jean Walrand UC Berkeley Shuang Wu UC Santa Cruz Starting Network $ Provider 1 $ Provider 2 John Musacchio – Allerton 06 Network After One Upgrade Both Provider Provider’s s Revenues Increase a f $ $ $ $ Users less dissatisfied Provider 1 Provider 2 Provider 1 invests U to upgrade. John Musacchio – Allerton 06 Network After Both Upgrade Both Provider’s Revenues Increase R $ $ R $ $ Users more satisfied Provider 1 Provider 2 Provider 2 invests $U to upgrade upgrade. John Musacchio – Allerton 06 Outline z Two Providers z N providers p z Upgrade costs that decline John Musacchio – Allerton 06 Multi Stage Game Multi-Stage z Payoffs n periods in future discounted by δn. z In each period, players simultaneously decide whether to upgrade. z A player sees what the other player did in previous p periods. z A strategy si is a plan of action for each period k as a function of the history hk. John Musacchio – Allerton 06 Per-Period Revenue Matrix: Not Upgrade Upgrade Not Upgrade 0,0 f, a Upgrade a, f R, R • The provider incurs a one time cost of U when upgrading. • Upgrading is irreversible. John Musacchio – Allerton 06 Solution Concepts z An ordinary Subgame Perfect Nash Equilibrium (SPE) is – a strategy profile z – – z ( (assignment i t off strategies t t i to t allll players) l ) such that in any subgame, no player can improve her payoff by unilaterally deviating from the strategy profile. SPE Condition: - For all John Musacchio – Allerton 06 SPE by Iterated Strict dominance z Strategy si is dominated if For some j and all s-i Idea of Iterated Strict Dominance: z Make G’ by removing dominated strategies from original game G. z Repeat… z If after f this hi process only l one strategy profile fil remains, i we say it is an SPE by iterated strict dominance. – Players can deduce what opponents will do, without “guessing.” John Musacchio – Allerton 06 Theorem 1 R R R R Suppose … Equivalently: > f f f f … U Then an SPE is: z Upgrade Immediately – Both providers choose to upgrade in the current period If Also Then z Upgrade Immediately is a unique SPE by iterated strict dominance The following are also SPE: z No First Upgrade – No provider willing to upgrade first z Delayed Upgrade – Each provider waits until period n to upgrade z Mixed Upgrade – Each provider upgrades with probability α in each period. Theorem 1 Continued Equivalently: Suppose: R R R R … < f f f f … U If Also Then an SPE iis: Th z Never upgrade – Do not upgrade no matter what z Asymmetric Freeride – One player upgrades the other freerides z Mixed Freeride – Players upgrade with probability α, until one upgrades. Then other one freerides John Musacchio – Allerton 06 Th Theorem 1 z Two Groupings of Cases: Group 1: R R R R … > f f f f f f f f … U Group 2: R R R R … < … U John Musacchio – Allerton 06 “Upgrade Immediately” z Both providers Upgrade in current period. SPE if z “Proof” z Stick Deviate John Musacchio – Allerton 06 Upgrade Immediately (Cond. For Uniqueness) Suppose: Upgrade Not A upgrades z z Slot i Slot i+1 If A upgrades d in i slot l t ii, B upgrades d b by ii+1 1 Don’t know what B does in slot i B Upgrade i upgrade A Wait Wait U Upgrade d IImmediately di t l (Uniqueness) (U i ) z Upgrade is better for both conditional payoff functions if John Musacchio – Allerton 06 Delayed y Upgrade pg z z Each provider expects the other to upgrade in period n. Srtategy – – z z Upgrade in period n. But,, If opponent pp upgrades pg in p period i<n,, upgrade pg in i+1. n=∞ corresponds to “no first upgrade.” Conditions: John Musacchio – Allerton 06 Delayed Upgrade Proof z Suppose player B plays “upgrade in period n” Upgrade at 0 Upgrade at n A Freeride z Upgrade at n best if: “Mixed Upgrade” z Subgame starting with no-one upgraded: – z Subgame starting with one-upgraded: – z Each upgrades with probability α. The not-upgraded upgrades immediately. SPE if John Musacchio – Allerton 06 Mixed Upgrade z Suppose B follows mixed upgrade and that Upgrade Wait John Musacchio – Allerton 06 Mixed Upgrade z Difference z Sufficient condition for existence of a zero Th Theorem 1 prooff z Two Groupings p g of Cases: Group 1: R R R R … > f f f f f f f f … U Group 2: R U R R R … < … Asymmetric Free-ride Free ride z Player A upgrades Pl d slot l t1 1. Player B never upgrades. z SPE if z John Musacchio – Allerton 06 Other Cases for z “Mixed Freeride” – – – z Condition: Each upgrades with probability α; if one upgrades first the other freerides freerides. Proof: Similar to “Mixed Upgrade.” “Never Never Upgrade Upgrade” – – – Condition: No one upgrades, pg even if the other one were to. Proof: easy. John Musacchio – Allerton 06 Outline z Two Providers z N providers p z Upgrade costs that decline John Musacchio – Allerton 06 N-Providers in Tandem z Let – f(j) = free-rider benefit if j providers upgrade. z – a(j) = early adopter benefit if j providers upgrade. z z f(0) == 0 a(N) == R All U Upgrade d a SPE if: if John Musacchio – Allerton 06 U Upgrade d IImmediately di t l (Dominance) (D i ) z Suppose we enter a subgame with 2 not-upgraded upgrade freeride upgrade freeride z Upgrading Dominant if: John Musacchio – Allerton 06 Upgrade Immediately (Dominance) z Induction argument shows that everyone upgrading di iis unique i SPE b by it iterated t dd deletion l ti of dominated strategies if: John Musacchio – Allerton 06 Outline z Two Providers z N providers p z Upgrade costs that decline John Musacchio – Allerton 06 Declining Upgrade Cost Model z z Continuous Time F t Future Revenues R are discounted di t d att rate t δ – z Example if both providers upgrade at time 0, the P V of each P.V. each’s s revenues is: Upgrade costs decline at rate γ – – γ includes declining costs + discounting so γ>δ. γ>δ P.V. of upgrade cost at time t’ is: John Musacchio – Allerton 06 Critical Times z Time when upgrading looks better than freeriding: z Time when being a first adopter looks attractive: Theorem 3 Suppose ta* ≥ tf* z Then the only SPE is: – z Both providers upgrade at time tf* Proof outline: – Step p 1: A upgrades pg before tf* Æ B upgrades at tf* (dominant) – Step 2: A upgrades after tf* and B not yet upgraded Æ B Upgrades immediately after A (dominant). – Step 3: Because A can induce B to upgrade at tf*, A best option is to upgrade at tf* John Musacchio – Allerton 06 Theorem 3 Proof – Step 1 z z Suppose A upgrades at time t’ t < tf* B’s best response in ensuing subgame: Rev. after upgrade Freeride revenue before upgrade Upgrade cost John Musacchio – Allerton 06 Th Theorem 3 Proof P f – Step St 2 z z Suppose A upgrades at time t’ t > tf* B’s best response in ensuing subgame: John Musacchio – Allerton 06 Theorem 3 Proof – Step 3 z z z Suppose A considers S id upgrading di b before f tf*. Considering induced behavior on B, A’s best response is: Similarly, can show that A upgrading after tf* gives lower payoff. Theorem 4 z z Suppose ta* < tf* S It is a SPE for – – z One provider O id tto upgrade d att titime ta* The other provider to upgrade at time tf* Proof: – Similar as Theorem 3’s proof. John Musacchio – Allerton 06 Time to Upgrade, pg , δ = 0.05 14 Time tto Upgra ade 12 10 8 6 4 γ =0.20 2 0 0 2 4 6 γ =0.15 8 γ =0.10 10 12 14 16 18 20 Conclusions z Discrete Time Model – Strong conditions required to have unique SPE. z – z Otherwise many strange SPE possible. Freeriding effect may prevent upgrades even when it is socially optimal to do so. Continuous Time with Declining Costs – – – – Unique SPE if τf* ≤ τa* Asymmetric SPE otherwise. Freeriding delays upgrades. More rapidly declining upgrade costs may increase the time until networks upgrade. upgrade John Musacchio – Allerton 06
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